DnD Filter: Differentiable State Estimation for Dynamic Systems using Diffusion Models


DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval


Do "New Snow Tablets" Contain Snow? Large Language Models Over-Rely on Names to Identify Ingredients of Chinese Drugs


Do 2D GANs Know 3D Shape? Unsupervised 3D shape reconstruction from 2D Image GANs


Do Acoustic Word Embeddings Capture Phonological Similarity? An Empirical Study


Do Automated Fixes Truly Mitigate Smart Contract Exploits?


Do BERTs Learn to Use Browser User Interface? Exploring Multi-Step Tasks with Unified Vision-and-Language BERTs


Do Bayesian Neural Networks Need To Be Fully Stochastic?


Do Bayesian Variational Autoencoders Know What They Don't Know?


Do Charge Prediction Models Learn Legal Theory?


Do Citations and Readership Identify Seminal Publications?


Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?


Do Comments and Expertise Still Matter? An Experiment on Programmers' Adoption of AI-Generated JavaScript Code


Do Concept Bottleneck Models Respect Localities?


Do Conversational Interfaces Limit Creativity? Exploring Visual Graph Systems for Creative Writing


Do Current Video LLMs Have Strong OCR Abilities? A Preliminary Study


Do Deep Networks Transfer Invariances Across Classes?


Do Deep Neural Network Solutions Form a Star Domain?


Do Deep Neural Networks Always Perform Better When Eating More Data?


Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?


Do Developers Depend on Deprecated Library Versions? A Mining Study of Log4j


Do Developers Refactor Data Access Code? An Empirical Study


Do Differences in Values Influence Disagreements in Online Discussions?


Do Different Deep Metric Learning Losses Lead to Similar Learned Features?


Do Different Tracking Tasks Require Different Appearance Models?


Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study


Do End-to-End Neural Diarization Attractors Need to Encode Speaker Characteristic Information?


Do End-to-end Stereo Algorithms Under-utilize Information?


Do Ensembling and Meta-Learning Improve Outlier Detection in Randomized Controlled Trials?


Do Feature Attribution Methods Correctly Attribute Features?


Do GPTs Produce Less Literal Translations?


Do Generalised Classifiers really work on Human Drawn Sketches?


Do Graph Neural Networks Work for High Entropy Alloys?


Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer


Do I Get the Privacy I Need? Benchmarking Utility in Differential Privacy Libraries


Do I Have Your Attention: A Large Scale Engagement Prediction Dataset and Baselines


Do Images really do the Talking? Analysing the significance of Images in Tamil Troll meme classification


Do Influence Functions Work on Large Language Models?


Do Input Gradients Highlight Discriminative Features?


Do Invariances in Deep Neural Networks Align with Human Perception?


Do LLM Evaluators Prefer Themselves for a Reason?


Do LLMs "know" internally when they follow instructions?


Do LLMs Have Visualization Literacy? An Evaluation on Modified Visualizations to Test Generalization in Data Interpretation


Do LLMs Have the Generalization Ability in Conducting Causal Inference?


Do LLMs Implicitly Determine the Suitable Text Difficulty for Users?


Do LLMs Know to Respect Copyright Notice?


Do LLMs Memorize Recommendation Datasets? A Preliminary Study on MovieLens-1M


Do LLMs Possess a Personality? Making the MBTI Test an Amazing Evaluation for Large Language Models


Do LLMs Really Adapt to Domains? An Ontology Learning Perspective


Do LLMs Really Think Step-by-step In Implicit Reasoning?


Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs


Do LLMs Strategically Reveal, Conceal, and Infer Information? A Theoretical and Empirical Analysis in The Chameleon Game


Do LLMs Think Fast and Slow? A Causal Study on Sentiment Analysis


Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with SocKET Benchmark


Do LLMs Understand Your Translations? Evaluating Paragraph-level MT with Question Answering


Do LLMs estimate uncertainty well in instruction-following?


Do LLMs exhibit human-like response biases? A case study in survey design


Do LLMs suffer from Multi-Party Hangover? A Diagnostic Approach to Addressee Recognition and Response Selection in Conversations


Do LSTMs See Gender? Probing the Ability of LSTMs to Learn Abstract Syntactic Rules


Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart Captioning


Do Language Model Agents Align with Humans in Rating Visualizations? An Empirical Study


Do Language Models Exhibit Human-like Structural Priming Effects?


Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?


Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs


Do Language Models Learn about Legal Entity Types during Pretraining?


Do Language Models Mirror Human Confidence? Exploring Psychological Insights to Address Overconfidence in LLMs


Do Language Models Perform Generalizable Commonsense Inference?


Do Language Models Use Their Depth Efficiently?


Do Large Language Model Benchmarks Test Reliability?


Do Large Language Model Understand Multi-Intent Spoken Language ?


Do Large Language Models Excel in Complex Logical Reasoning with Formal Language?


Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability


Do Large Language Models Know What They Don't Know?


Do Large Language Models Learn Human-Like Strategic Preferences?


Do Large Language Models Pay Similar Attention Like Human Programmers When Generating Code?


Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function


Do Large Language Models Solve ARC Visual Analogies Like People Do?


Do Large Language Models Truly Understand Geometric Structures?


Do Large Language Models Understand Conversational Implicature -- A case study with a chinese sitcom


Do Large Language Models know what humans know?


Do Lessons from Metric Learning Generalize to Image-Caption Retrieval?


Do Llamas Work in English? On the Latent Language of Multilingual Transformers


Do Loyal Users Enjoy Better Recommendations? Understanding Recommender Accuracy from a Time Perspective


Do Machine Learning Models Learn Statistical Rules Inferred from Data?


Do Machine Learning Models Produce TypeScript Types That Type Check?


Do Massively Pretrained Language Models Make Better Storytellers?


Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognition


Do Multi-hop Readers Dream of Reasoning Chains?


Do Multilingual Language Models Think Better in English?


Do Music Generation Models Encode Music Theory?


Do Neural Dialog Systems Use the Conversation History Effectively? An Empirical Study


Do Neural Models Learn Systematicity of Monotonicity Inference in Natural Language?


Do Neural Network Weights account for Classes Centers?


Do Neural Networks for Segmentation Understand Insideness?


Do Neural Ranking Models Intensify Gender Bias?


Do Not Change Me: On Transferring Entities Without Modification in Neural Machine Translation -- a Multilingual Perspective


Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians


Do Not Let Low-Probability Tokens Over-Dominate in RL for LLMs


Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning


Do Not Sleep on Traditional Machine Learning: Simple and Interpretable Techniques Are Competitive to Deep Learning for Sleep Scoring


Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks


Do Offline Metrics Predict Online Performance in Recommender Systems?


Do PLMs Know and Understand Ontological Knowledge?


Do Pedestrians Pay Attention? Eye Contact Detection in the Wild


Do Perceptually Aligned Gradients Imply Adversarial Robustness?


Do Performance Aspirations Matter for Guiding Software Configuration Tuning?


Do Pre-Trained Language Models Detect and Understand Semantic Underspecification? Ask the DUST!


Do Pre-trained Models Benefit Equally in Continual Learning?


Do Pre-trained Vision-Language Models Encode Object States?


Do Pretrained Contextual Language Models Distinguish between Hebrew Homograph Analyses?


Do Prompts Really Prompt? Exploring the Prompt Understanding Capability of Whisper


Do Protein Transformers Have Biological Intelligence?


Do RNNs learn human-like abstract word order preferences?


Do Recommender Systems Promote Local Music? A Reproducibility Study Using Music Streaming Data


Do Response Selection Models Really Know What's Next? Utterance Manipulation Strategies for Multi-turn Response Selection


Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning


Do Sentence Interactions Matter? Leveraging Sentence Level Representations for Fake News Classification


Do Similar Entities have Similar Embeddings?


Do Smart Glasses Dream of Sentimental Visions? Deep Emotionship Analysis for Eyewear Devices


Do Stochastic Parrots have Feelings Too? Improving Neural Detection of Synthetic Text via Emotion Recognition


Do Syntax Trees Help Pre-trained Transformers Extract Information?


Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension


Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?


Do These LLM Benchmarks Agree? Fixing Benchmark Evaluation with BenchBench


Do Transformer Models Show Similar Attention Patterns to Task-Specific Human Gaze?


Do Transformer Modifications Transfer Across Implementations and Applications?


Do Tutors Learn from Equity Training and Can Generative AI Assess It?


Do Unlearning Methods Remove Information from Language Model Weights?


Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset


Do Users Write More Insecure Code with AI Assistants?


Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?


Do Vision and Language Encoders Represent the World Similarly?


Do Vision and Language Models Share Concepts? A Vector Space Alignment Study


Do Vision-Language Foundational models show Robust Visual Perception?


Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference Under Ambiguities


Do Vision-Language Models Understand Compound Nouns?


Do Vision-Language Pretrained Models Learn Composable Primitive Concepts?


Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies?


Do We Fully Understand Students' Knowledge States? Identifying and Mitigating Answer Bias in Knowledge Tracing


Do We Need Anisotropic Graph Neural Networks?


Do We Need Another Explainable AI Method? Toward Unifying Post-hoc XAI Evaluation Methods into an Interactive and Multi-dimensional Benchmark


Do We Need Zero Training Loss After Achieving Zero Training Error?


Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks?


Do We Really Need Deep Learning Models for Time Series Forecasting?


Do We Really Need Dice? The Hidden Region-Size Biases of Segmentation Losses


Do We Really Need Fully Unsupervised Cross-Lingual Embeddings?


Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation


Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation?


Do We Still Need Non-Maximum Suppression? Accurate Confidence Estimates and Implicit Duplication Modeling with IoU-Aware Calibration


Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute


Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods


Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation


Do You Know My Emotion? Emotion-Aware Strategy Recognition towards a Persuasive Dialogue System


Do You Know the Way? Human-in-the-Loop Understanding for Fast Traversability Estimation in Mobile Robotics


Do You Need the Entropy Reward (in Practice)?


Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data


Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval


Do You See Me : A Multidimensional Benchmark for Evaluating Visual Perception in Multimodal LLMs


Do Your Best and Get Enough Rest for Continual Learning


Do as We Do, Not as You Think: the Conformity of Large Language Models


Do biological constraints impair dendritic computation?


Do causal predictors generalize better to new domains?


Do galaxies die? Different views from simulations and observations in the Local Universe


Do generative video models understand physical principles?


Do language models have coherent mental models of everyday things?


Do language models learn typicality judgments from text?


Do language models make human-like predictions about the coreferents of Italian anaphoric zero pronouns?


Do language models plan ahead for future tokens?


Do large language models and humans have similar behaviors in causal inference with script knowledge?


Do learned representations respect causal relationships?


Do not trust what you trust: Miscalibration in Semi-supervised Learning


Do readers use character information when programming return-sweep saccades?


Do regularization methods for shortcut mitigation work as intended?


Do t-Statistic Hurdles Need to be Raised?


Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model Fairness


Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark


Do they mean 'us'? Interpreting Referring Expressions in Intergroup Bias


Do uHear? Validation of uHear App for Preliminary Screening of Hearing Ability in Soundscape Studies


Do we actually understand the impact of renewables on electricity prices? A causal inference approach


Do we need rebalancing strategies? A theoretical and empirical study around SMOTE and its variants


Do we need scan-matching in radar odometry?


Do we really need temporal convolutions in action segmentation?


Do we still need ImageNet pre-training in remote sensing scene classification?


Do-GOOD: Towards Distribution Shift Evaluation for Pre-Trained Visual Document Understanding Models


Do-It-Yourself Single Camera 3D Pointer Input Device


Do-calculus enables estimation of causal effects in partially observed biomolecular pathways


DoCIA: An Online Document-Level Context Incorporation Agent for Speech Translation


DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation


DoCoM: Compressed Decentralized Optimization with Near-Optimal Sample Complexity


DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for Detecting Abuse Targeted at Public Figures


DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis


DoF-NeRF: Depth-of-Field Meets Neural Radiance Fields


DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule


DoG-Instruct: Towards Premium Instruction-Tuning Data via Text-Grounded Instruction Wrapping


DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data


DoNet: Deep De-overlapping Network for Cytology Instance Segmentation


DoRA: Domain-Based Self-Supervised Learning Framework for Low-Resource Real Estate Appraisal


DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining


DoSA : A System to Accelerate Annotations on Business Documents with Human-in-the-Loop


DoSSIER@COLIEE 2021: Leveraging dense retrieval and summarization-based re-ranking for case law retrieval


Doc2Dict: Information Extraction as Text Generation


Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction


Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural Networks


Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs


DocAMR: Multi-Sentence AMR Representation and Evaluation


DocAgent: A Multi-Agent System for Automated Code Documentation Generation


DocAsRef: An Empirical Study on Repurposing Reference-Based Summary Quality Metrics Reference-Freely


DocBinFormer: A Two-Level Transformer Network for Effective Document Image Binarization


DocChecker: Bootstrapping Code Large Language Model for Detecting and Resolving Code-Comment Inconsistencies


DocDiff: Document Enhancement via Residual Diffusion Models


DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing


DocEmul: a Toolkit to Generate Structured Historical Documents


DocEnTr: An End-to-End Document Image Enhancement Transformer


DocFusion: A Unified Framework for Document Parsing Tasks


DocILE Benchmark for Document Information Localization and Extraction


DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception


DocMIA: Document-Level Membership Inference Attacks against DocVQA Models


DocMSU: A Comprehensive Benchmark for Document-level Multimodal Sarcasm Understanding


DocMath-Eval: Evaluating Math Reasoning Capabilities of LLMs in Understanding Long and Specialized Documents


DocNLI: A Large-scale Dataset for Document-level Natural Language Inference


DocOIE: A Document-level Context-Aware Dataset for OpenIE


DocParseNet: Advanced Semantic Segmentation and OCR Embeddings for Efficient Scanned Document Annotation


DocParser: Hierarchical Structure Parsing of Document Renderings


DocRED-FE: A Document-Level Fine-Grained Entity And Relation Extraction Dataset


DocRED: A Large-Scale Document-Level Relation Extraction Dataset


DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks


DocSCAN: Unsupervised Text Classification via Learning from Neighbors


DocScanner: Robust Document Image Rectification with Progressive Learning


DocSegTr: An Instance-Level End-to-End Document Image Segmentation Transformer


DocSynth: A Layout Guided Approach for Controllable Document Image Synthesis


DocTabQA: Answering Questions from Long Documents Using Tables


DocTer: Documentation Guided Fuzzing for Testing Deep Learning API Functions


DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine Reading


DocVXQA: Context-Aware Visual Explanations for Document Question Answering


DocXPand-25k: a large and diverse benchmark dataset for identity documents analysis


Dock2D: Synthetic data for the molecular recognition problem


Dockerface: an Easy to Install and Use Faster R-CNN Face Detector in a Docker Container


Dockerization Impacts in Database Performance Benchmarking


Docs2KG: Unified Knowledge Graph Construction from Heterogeneous Documents Assisted by Large Language Models


Doctor AI: Predicting Clinical Events via Recurrent Neural Networks


Doctor Recommendation in Online Health Forums via Expertise Learning


Doctor XAvIer: Explainable Diagnosis on Physician-Patient Dialogues and XAI Evaluation


DoctorAgent-RL: A Multi-Agent Collaborative Reinforcement Learning System for Multi-Turn Clinical Dialogue


DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task


DocuMint: Docstring Generation for Python using Small Language Models


Document AI: A Comparative Study of Transformer-Based, Graph-Based Models, and Convolutional Neural Networks For Document Layout Analysis


Document Classification by Inversion of Distributed Language Representations


Document Haystacks: Vision-Language Reasoning Over Piles of 1000+ Documents


Document Image Cleaning using Budget-Aware Black-Box Approximation


Document Informed Neural Autoregressive Topic Models


Document Informed Neural Autoregressive Topic Models with Distributional Prior


Document Intelligence Metrics for Visually Rich Document Evaluation


Document Layout Annotation: Database and Benchmark in the Domain of Public Affairs


Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension


Document Quality Scoring for Web Crawling


Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks


Document Set Expansion with Positive-Unlabelled Learning Using Intractable Density Estimation


Document Similarity for Texts of Varying Lengths via Hidden Topics


Document Sub-structure in Neural Machine Translation


Document Towers: A MATLAB software implementing a three-dimensional architectural paradigm for the visual exploration of digital documents and libraries


Document-Level Event Argument Extraction by Conditional Generation


Document-Level Event Role Filler Extraction using Multi-Granularity Contextualized Encoding


Document-Level In-Context Few-Shot Relation Extraction via Pre-Trained Language Models


Document-Level Machine Translation with Large Language Models


Document-Level Neural Machine Translation with Hierarchical Attention Networks


Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling


Document-Level Relation Extraction with Relation Correlation Enhancement


Document-Level Relation Extraction with Sentences Importance Estimation and Focusing


Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport


Document-Level Text Simplification: Dataset, Criteria and Baseline


Document-aligned Japanese-English Conversation Parallel Corpus


Document-level Claim Extraction and Decontextualisation for Fact-Checking


Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker


Document-level Relation Extraction with Cross-sentence Reasoning Graph


Document-level Relation Extraction with Relation Correlations


DocumentCLIP: Linking Figures and Main Body Text in Reflowed Documents


Dodrio: Exploring Transformer Models with Interactive Visualization


Does 3D Gaussian Splatting Need Accurate Volumetric Rendering?


Does Alignment Tuning Really Break LLMs' Internal Confidence?


Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica


Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings


Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?


Does BERT agree? Evaluating knowledge of structure dependence through agreement relations


Does Biomedical Training Lead to Better Medical Performance?


Does CLIP Bind Concepts? Probing Compositionality in Large Image Models


Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?


Does Chain-of-Thought Reasoning Help Mobile GUI Agent? An Empirical Study


Does Character-level Information Always Improve DRS-based Semantic Parsing?


Does Chinese BERT Encode Word Structure?


Does Commonsense help in detecting Sarcasm?


Does Configuration Encoding Matter in Learning Software Performance? An Empirical Study on Encoding Schemes


Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings


Does Current Deepfake Audio Detection Model Effectively Detect ALM-based Deepfake Audio?


Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias


Does Dataset Complexity Matters for Model Explainers?


Does Differential Privacy Impact Bias in Pretrained NLP Models?


Does Difficulty even Matter? Investigating Difficulty Adjustment and Practice Behavior in an Open-Ended Learning Task


Does Diffusion Beat GAN in Image Super Resolution?


Does Diversity Improve the Test Suite Generation for Mobile Applications?


Does Double Descent Occur in Self-Supervised Learning?


Does End-to-End Autonomous Driving Really Need Perception Tasks?


Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings


Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data


Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling


Does Gender Matter? Towards Fairness in Dialogue Systems


Does Generative AI speak Nigerian-Pidgin?: Issues about Representativeness and Bias for Multilingualism in LLMs


Does Generative Face Completion Help Face Recognition?


Does Head Label Help for Long-Tailed Multi-Label Text Classification


Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?


Does Human Collaboration Enhance the Accuracy of Identifying LLM-Generated Deepfake Texts?


Does In-Context Learning Really Learn? Rethinking How Large Language Models Respond and Solve Tasks via In-Context Learning


Does It Look Sequential? An Analysis of Datasets for Evaluation of Sequential Recommendations


Does It Make Sense to Explain a Black Box With Another Black Box?


Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation


Does Joint Training Really Help Cascaded Speech Translation?


Does Knowledge Distillation Really Work?


Does Label Differential Privacy Prevent Label Inference Attacks?


Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?


Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models


Does Long-Term Series Forecasting Need Complex Attention and Extra Long Inputs?


Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks?


Does MAML Only Work via Feature Re-use? A Data Centric Perspective


Does Mapo Tofu Contain Coffee? Probing LLMs for Food-related Cultural Knowledge


Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation


Does Multiple Choice Have a Future in the Age of Generative AI? A Posttest-only RCT


Does My Rebuttal Matter? Insights from a Major NLP Conference


Does My Representation Capture X? Probe-Ably


Does Noise Affect Housing Prices? A Case Study in the Urban Area of Thessaloniki


Does Optimal Source Task Performance Imply Optimal Pre-training for a Target Task?


Does Oversizing Improve Prosumer Profitability in a Flexibility Market? -- A Sensitivity Analysis using PV-battery System


Does Peer-Reviewed Research Help Predict Stock Returns?


Does RAG Introduce Unfairness in LLMs? Evaluating Fairness in Retrieval-Augmented Generation Systems


Does Rationale Quality Matter? Enhancing Mental Disorder Detection via Selective Reasoning Distillation


Does Recommend-Revise Produce Reliable Annotations? An Analysis on Missing Instances in DocRED


Does Refusal Training in LLMs Generalize to the Past Tense?


Does Residuals-on-Residuals Regression Produce Representative Estimates of Causal Effects?


Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspective


Does Spatial Cognition Emerge in Frontier Models?


Does Spatial Information Improve Influenza Forecasting?


Does SpatioTemporal information benefit Two video summarization benchmarks?


Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs


Does Table Source Matter? Benchmarking and Improving Multimodal Scientific Table Understanding and Reasoning


Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series


Does Thermal data make the detection systems more reliable?


Does This Summary Answer My Question? Modeling Query-Focused Summary Readers with Rational Speech Acts


Does Training with Synthetic Data Truly Protect Privacy?


Does Transformer Interpretability Transfer to RNNs?


Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods


Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?


Does Using Bazel Help Speed Up Continuous Integration Builds?


Does VLM Classification Benefit from LLM Description Semantics?


Does Vec2Text Pose a New Corpus Poisoning Threat?


Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach


Does Vision-and-Language Pretraining Improve Lexical Grounding?


Does William Shakespeare REALLY Write Hamlet? Knowledge Representation Learning with Confidence


Does Writing with Language Models Reduce Content Diversity?


Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces


Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing


Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma?


Does `Deep Learning on a Data Diet' reproduce? Overall yes, but GraNd at Initialization does not


Does a Face Mask Protect my Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Images


Does a Rising Tide Lift All Boats? Bias Mitigation for AI-based CMR Segmentation


Does chronology matter in JIT defect prediction? A Partial Replication Study


Does context matter in digital pathology?


Does fine-tuning GPT-3 with the OpenAI API leak personally-identifiable information?


Does inter-organellar proteostasis impact yeast quality and performance during beer fermentation?


Does it Chug? Towards a Data-Driven Understanding of Guitar Tone Description


Does it matter who pays back Technical Debt? An empirical study of self-fixed TD


Does it work outside this benchmark? Introducing the Rigid Depth Constructor tool, depth validation dataset construction in rigid scenes for the masses


Does language help generalization in vision models?


Does learning the right latent variables necessarily improve in-context learning?


Does pre-training on brain-related tasks results in better deep-learning-based brain age biomarkers?


Does quantization affect models' performance on long-context tasks?


Does spatial flatness forbid the turnaround epoch of collapsing structures?


Does the "Artificial Intelligence Clinician" learn optimal treatment strategies for sepsis in intensive care?


Does the $\ell_1$-norm Learn a Sparse Graph under Laplacian Constrained Graphical Models?


Does the Adam Optimizer Exacerbate Catastrophic Forgetting?


Does the Fundamental Metallicity Relation Evolve with Redshift? I: The Correlation Between Offsets from the Mass-Metallicity Relation and Star Formation Rate


Does the Fundamental Metallicity Relation Evolve with Redshift? II: The Evolution in Normalisation of the Mass-Metallicity Relation


Does the Market of Citations Reward Reproducible Work?


Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution


Does the Tool Matter? Exploring Some Causes of Threats to Validity in Mining Software Repositories


Does the Venue of Scientific Conferences Leverage their Impact? A Large Scale study on Computer Science Conferences


Does the multiresolution lattice Boltzmann method allow to deal with waves passing through mesh jumps?


Does the random nature of cell-virus interactions during in vitro infections affect TCID$_{50}$ measurements and parameter estimation by mathematical models?


Does the speed of gravitational waves depend on the source velocity?


Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features


Does your model understand genes? A benchmark of gene properties for biological and text models


Dog-IQA: Standard-guided Zero-shot MLLM for Mix-grained Image Quality Assessment


DogLayout: Denoising Diffusion GAN for Discrete and Continuous Layout Generation


DogSurf: Quadruped Robot Capable of GRU-based Surface Recognition for Blind Person Navigation


Doge Tickets: Uncovering Domain-general Language Models by Playing Lottery Tickets


DogeFuzz: A Simple Yet Efficient Grey-box Fuzzer for Ethereum Smart Contracts


DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging


Doing Experiments and Revising Rules with Natural Language and Probabilistic Reasoning


Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning Models


Doing More With Less: Mismatch-Based Risk-Limiting Audits


Doing More by Doing Less: How Structured Partial Backpropagation Improves Deep Learning Clusters


Doing Natural Language Processing in A Natural Way: An NLP toolkit based on object-oriented knowledge base and multi-level grammar base


Doing Personal LAPS: LLM-Augmented Dialogue Construction for Personalized Multi-Session Conversational Search


Doing data science with platforms crumbs: an investigation into fakes views on YouTube


Dolphin: A Large-Scale Automatic Speech Recognition Model for Eastern Languages


Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting


DomCLP: Domain-wise Contrastive Learning with Prototype Mixup for Unsupervised Domain Generalization


DomURLs_BERT: Pre-trained BERT-based Model for Malicious Domains and URLs Detection and Classification


Domain Adaptable Fine-Tune Distillation Framework For Advancing Farm Surveillance


Domain Adaptable Self-supervised Representation Learning on Remote Sensing Satellite Imagery


Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation


Domain Adaptation Method and Modality Gap Impact in Audio-Text Models for Prototypical Sound Classification


Domain Adaptation Principal Component Analysis: base linear method for learning with out-of-distribution data


Domain Adaptation Through Task Distillation


Domain Adaptation Using Class Similarity for Robust Speech Recognition


Domain Adaptation as a Problem of Inference on Graphical Models


Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning


Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions


Domain Adaptation for DoA Estimation in Multipath Channels with Interferences


Domain Adaptation for Japanese Sentence Embeddings with Contrastive Learning based on Synthetic Sentence Generation


Domain Adaptation for Learned Image Compression with Supervised Adapters


Domain Adaptation for Medical Image Segmentation using Transformation-Invariant Self-Training


Domain Adaptation for Semantic Segmentation with Maximum Squares Loss


Domain Adaptation for Time Series Under Feature and Label Shifts


Domain Adaptation for Underwater Image Enhancement


Domain Adaptation for Underwater Image Enhancement via Content and Style Separation


Domain Adaptation for sEMG-based Gesture Recognition with Recurrent Neural Networks


Domain Adaptation for the Segmentation of Confidential Medical Images


Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning


Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose Labels


Domain Adaptation under Missingness Shift


Domain Adaptation under Open Set Label Shift


Domain Adaptation via Maximizing Surrogate Mutual Information


Domain Adaptation with Adversarial Training on Penultimate Activations


Domain Adaptation with Auxiliary Target Domain-Oriented Classifier


Domain Adaptation with Cauchy-Schwarz Divergence


Domain Adaptation with Randomized Expectation Maximization


Domain Adaptation-Enhanced Searchlight: Enabling classification of brain states from visual perception to mental imagery


Domain Adaptive 3D Pose Augmentation for In-the-wild Human Mesh Recovery


Domain Adaptive Decision Trees: Implications for Accuracy and Fairness


Domain Adaptive Detection of MAVs: A Benchmark and Noise Suppression Network


Domain Adaptive Dialog Generation via Meta Learning


Domain Adaptive Few-Shot Open-Set Learning


Domain Adaptive Graph Neural Networks for Constraining Cosmological Parameters Across Multiple Data Sets


Domain Adaptive Multiple Instance Learning for Instance-level Prediction of Pathological Images


Domain Adaptive Person Re-Identification via Coupling Optimization


Domain Adaptive Person Search via GAN-based Scene Synthesis for Cross-scene Videos


Domain Adaptive Semantic Segmentation via Regional Contrastive Consistency Regularization


Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation


Domain Adaptive Semantic Segmentation without Source Data


Domain Adaptive Sim-to-Real Segmentation of Oropharyngeal Organs


Domain Adaptive Video Segmentation via Temporal Pseudo Supervision


Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving Object Mixing


Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and Beyond


Domain Adversarial Fine-Tuning as an Effective Regularizer


Domain Adversarial Neural Networks for Domain Generalization: When It Works and How to Improve


Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities


Domain Agnostic Learning with Disentangled Representations


Domain Agnostic Pipeline for Retina Vessel Segmentation


Domain Aligned Prefix Averaging for Domain Generalization in Abstractive Summarization


Domain Alignment Meets Fully Test-Time Adaptation


Domain Attention Consistency for Multi-Source Domain Adaptation


Domain Aware Multi-Task Pretraining of 3D Swin Transformer for T1-weighted Brain MRI


Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation


Domain Composition and Attention for Unseen-Domain Generalizable Medical Image Segmentation


Domain Conditional Predictors for Domain Adaptation


Domain Consistency Representation Learning for Lifelong Person Re-Identification


Domain Decomposition Methods for the Monge-Ampère equation


Domain Decorrelation with Potential Energy Ranking


Domain Differential Adaptation for Neural Machine Translation


Domain Expansion: Parameter-Efficient Modules as Building Blocks for Composite Domains


Domain Generalisation via Imprecise Learning


Domain Generalisation via Risk Distribution Matching


Domain Generalization In Robust Invariant Representation


Domain Generalization Using a Mixture of Multiple Latent Domains


Domain Generalization by Functional Regression


Domain Generalization by Learning and Removing Domain-specific Features


Domain Generalization by Marginal Transfer Learning


Domain Generalization by Rejecting Extreme Augmentations


Domain Generalization for Crop Segmentation with Standardized Ensemble Knowledge Distillation


Domain Generalization for Mammography Detection via Multi-style and Multi-view Contrastive Learning


Domain Generalization for Medical Imaging Classification with Linear-Dependency Regularization


Domain Generalization for Prostate Segmentation in Transrectal Ultrasound Images: A Multi-center Study


Domain Generalization for Zero-calibration BCIs with Knowledge Distillation-based Phase Invariant Feature Extraction


Domain Generalization of 3D Object Detection by Density-Resampling


Domain Generalization through Attenuation of Domain-Specific Information


Domain Generalization through the Lens of Angular Invariance


Domain Generalization via Gradient Surgery


Domain Generalization via Model-Agnostic Learning of Semantic Features


Domain Generalization via Nuclear Norm Regularization


Domain Generalization via Rationale Invariance


Domain Generalization via Semi-supervised Meta Learning


Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing


Domain Generalization with Correlated Style Uncertainty


Domain Generalization with Fourier Transform and Soft Thresholding


Domain Generalization with Vital Phase Augmentation


Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model


Domain Impression: A Source Data Free Domain Adaptation Method


Domain Influence in MRI Medical Image Segmentation: spatial versus k-space inputs


Domain Information Control at Inference Time for Acoustic Scene Classification


Domain Intersection and Domain Difference


Domain Invariant Learning for Gaussian Processes and Bayesian Exploration


Domain Invariant Representation Learning and Sleep Dynamics Modeling for Automatic Sleep Staging


Domain Invariant Representation Learning with Domain Density Transformations


Domain Knowledge Based Brain Tumor Segmentation and Overall Survival Prediction


Domain Knowledge Driven 3D Dose Prediction Using Moment-Based Loss Function


Domain Knowledge Empowered Structured Neural Net for End-to-End Event Temporal Relation Extraction


Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors


Domain Private Transformers for Multi-Domain Dialog Systems


Domain Prompt Learning for Efficiently Adapting CLIP to Unseen Domains


Domain Randomization for Object Counting


Domain Randomization for Object Detection in Manufacturing Applications using Synthetic Data: A Comprehensive Study


Domain Randomization for Scene-Specific Car Detection and Pose Estimation


Domain Randomization-Enhanced Depth Simulation and Restoration for Perceiving and Grasping Specular and Transparent Objects


Domain Reduction Strategy for Non Line of Sight Imaging


Domain Representative Keywords Selection: A Probabilistic Approach


Domain Robustness in Neural Machine Translation


Domain Specific Question Answering Over Knowledge Graphs Using Logical Programming and Large Language Models


Domain Specific Wav2vec 2.0 Fine-tuning For The SE&R 2022 Challenge


Domain Transfer in Dialogue Systems without Turn-Level Supervision


Domain Transfer in Latent Space (DTLS) Wins on Image Super-Resolution -- a Non-Denoising Model


Domain Transformer: Predicting Samples of Unseen, Future Domains


Domain Wall Network: A Dual Solution for Gravitational Waves and Hubble Tension?


Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images


Domain adaptation under structural causal models


Domain adaptation using optimal transport for invariant learning using histopathology datasets


Domain adaptive pose estimation via multi-level alignment


Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation


Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image Segmentation


Domain decomposition and multiscale mortar mixed finite element methods for linear elasticity with weak stress symmetry


Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions


Domain-Adaptive 3D Medical Image Synthesis: An Efficient Unsupervised Approach


Domain-Adaptive Text Classification with Structured Knowledge from Unlabeled Data


Domain-Adversarial Learning for Multi-Centre, Multi-Vendor, and Multi-Disease Cardiac MR Image Segmentation


Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds


Domain-Agnostic Molecular Generation with Chemical Feedback


Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform


Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic Data


Domain-Aware Dialogue State Tracker for Multi-Domain Dialogue Systems


Domain-Aware SE Network for Sketch-based Image Retrieval with Multiplicative Euclidean Margin Softmax


Domain-Conditioned Transformer for Fully Test-time Adaptation


Domain-General Crowd Counting in Unseen Scenarios


Domain-Generalized Face Anti-Spoofing with Unknown Attacks


Domain-Independent Cost-Optimal Planning in ASP


Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation


Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts


Domain-Invariant Representation Learning from EEG with Private Encoders


Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization


Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation


Domain-Robust Visual Imitation Learning with Mutual Information Constraints


Domain-Scalable Unpaired Image Translation via Latent Space Anchoring


Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval


Domain-Specialized Cache Management for Graph Analytics


Domain-Specific Acceleration and Auto-Parallelization of Legacy Scientific Code in FORTRAN 77 using Source-to-Source Compilation


Domain-Specific Bias Filtering for Single Labeled Domain Generalization


Domain-Specific Denoising Diffusion Probabilistic Models for Brain Dynamics


Domain-Specific Embedding Network for Zero-Shot Recognition


Domain-Specific Face Synthesis for Video Face Recognition from a Single Sample Per Person


Domain-Specific Human-Inspired Binarized Statistical Image Features for Iris Recognition


Domain-Specific Language Model Post-Training for Indonesian Financial NLP


Domain-Specific Multi-Level IR Rewriting for GPU


Domain-Specific NER via Retrieving Correlated Samples


Domain-Specific Pre-training Improves Confidence in Whole Slide Image Classification


Domain-Specific Word Embeddings with Structure Prediction


Domain-Unified Prompt Representations for Source-Free Domain Generalization


Domain-adaptive Graph Attention-supervised Network for Cross-network Edge Classification


Domain-adaptive Message Passing Graph Neural Network


Domain-adaptive Video Deblurring via Test-time Blurring


Domain-agnostic Question-Answering with Adversarial Training


Domain-aware Triplet loss in Domain Generalization


Domain-aware Visual Bias Eliminating for Generalized Zero-Shot Learning


Domain-based Latent Personal Analysis and its use for impersonation detection in social media


Domain-independent Dominance of Adaptive Methods


Domain-informed neural networks for interaction localization within astroparticle experiments


Domain-invariant Representation Learning via Segment Anything Model for Blood Cell Classification


Domain-invariant Similarity Activation Map Contrastive Learning for Retrieval-based Long-term Visual Localization


Domain-invariant Stereo Matching Networks


Domain-shift Conditioning using Adaptable Filtering via Hierarchical Embeddings for Robust Chinese Spell Check


Domain-shift adaptation via linear transformations


Domain-specific ChatBots for Science using Embeddings


DomainAdaptor: A Novel Approach to Test-time Adaptation


DomainDemo: a dataset of domain-sharing activities among different demographic groups on Twitter


DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization


DomainGallery: Few-shot Domain-driven Image Generation by Attribute-centric Finetuning


DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation


DomainSum: A Hierarchical Benchmark for Fine-Grained Domain Shift in Abstractive Text Summarization


Domains as Objectives: Domain-Uncertainty-Aware Policy Optimization through Explicit Multi-Domain Convex Coverage Set Learning


Domestic Activity Clustering from Audio via Depthwise Separable Convolutional Autoencoder Network


Dominance reversals: The resolution of genetic conflict and maintenance of genetic variation


Dominant Eigenvalue-Eigenvector Pair Estimation via Graph Infection


Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition


Dominant motion identification of multi-particle system using deep learning from video


Dominated Novelty Search: Rethinking Local Competition in Quality-Diversity


Dominating Set Reconfiguration with Answer Set Programming


Domineering games with minimal number of moves


Domino: A new framework for the automated identification of weather event precursors, demonstrated for European extreme rainfall


Dompteur: Taming Audio Adversarial Examples


Don't Buy it! Reassessing the Ad Understanding Abilities of Contrastive Multimodal Models


Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning


Don't Command, Cultivate: An Exploratory Study of System-2 Alignment


Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems


Don't Copy the Teacher: Data and Model Challenges in Embodied Dialogue


Don't Discard Fixed-Window Audio Segmentation in Speech-to-Text Translation


Don't Erase, Inform! Detecting and Contextualizing Harmful Language in Cultural Heritage Collections


Don't Explain Noise: Robust Counterfactuals for Randomized Ensembles


Don't Fight Hallucinations, Use Them: Estimating Image Realism using NLI over Atomic Facts


Don't Fine-Tune, Decode: Syntax Error-Free Tool Use via Constrained Decoding


Don't Forget Me: Accurate Background Recovery for Text Removal via Modeling Local-Global Context


Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments


Don't Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration Pitfalls


Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series


Don't Go Far Off: An Empirical Study on Neural Poetry Translation


Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration


Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations


Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja


Don't Knock! Rowhammer at the Backdoor of DNN Models


Don't Let Me Be Misunderstood: Comparing Intentions and Perceptions in Online Discussions


Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers


Don't Lose Yourself! Empathetic Response Generation via Explicit Self-Other Awareness


Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease


Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer


Don't Peek at My Chart: Privacy-preserving Visualization for Mobile Devices


Don't Reinvent the Wheel: Efficient Instruction-Following Text Embedding based on Guided Space Transformation


Don't Reinvent the Wheel: Towards Automatic Replacement of Custom Implementations with APIs


Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood Training


Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam Search


Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors


Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving


Don't Start from Scratch: Behavioral Refinement via Interpolant-based Policy Diffusion


Don't Stop Pretraining: Adapt Language Models to Domains and Tasks


Don't Stop the Multi-Party! On Generating Synthetic Multi-Party Conversations with Constraints


Don't Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models


Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs


Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making


Don't Touch What Matters: Task-Aware Lipschitz Data Augmentation for Visual Reinforcement Learning


Don't Trust A Single Gerrymandering Metric


Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalization


Don't Use Large Mini-Batches, Use Local SGD


Don't Waste Data: Transfer Learning to Leverage All Data for Machine-Learnt Climate Model Emulation


Don't Waste Your Time: Early Stopping Cross-Validation


Don't fear the unlabelled: safe semi-supervised learning via simple debiasing


Don't lose the message while paraphrasing: A study on content preserving style transfer


Don't miss the Mismatch: Investigating the Objective Function Mismatch for Unsupervised Representation Learning


Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing


Don't take it lightly: Phasing optical random projections with unknown operators


Don't throw that video away! Reference Frames can fix Video Analysis with a Moving Camera


Don't trust your eyes: on the (un)reliability of feature visualizations


DongbaMIE: A Multimodal Information Extraction Dataset for Evaluating Semantic Understanding of Dongba Pictograms


Donkii: Can Annotation Error Detection Methods Find Errors in Instruction-Tuning Datasets?


Dont Add, dont Miss: Effective Content Preserving Generation from Pre-Selected Text Spans


Donut visualizations for network-level and regional-level overview of Spatial Social Networks


Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling


Doodle Your 3D: From Abstract Freehand Sketches to Precise 3D Shapes


DoomArena: A framework for Testing AI Agents Against Evolving Security Threats


DoorGym: A Scalable Door Opening Environment And Baseline Agent


DoorINet: Door Heading Prediction through Inertial Deep Learning


DopUS-Net: Quality-Aware Robotic Ultrasound Imaging based on Doppler Signal


Dopamin: Transformer-based Comment Classifiers through Domain Post-Training and Multi-level Layer Aggregation


Dopamine: Differentially Private Federated Learning on Medical Data


Doppelgangers: Learning to Disambiguate Images of Similar Structures


Doppler-SLAM: Doppler-Aided Radar-Inertial and LiDAR-Inertial Simultaneous Localization and Mapping


Doppler-only Single-scan 3D Vehicle Odometry


DoraCycle: Domain-Oriented Adaptation of Unified Generative Model in Multimodal Cycles


DoraemonGPT: Toward Understanding Dynamic Scenes with Large Language Models (Exemplified as A Video Agent)


Dormant: Defending against Pose-driven Human Image Animation


Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads


Dose rate effects in radiation-induced changes to phenyl-based polymeric scintillators


Dose-response modeling in high-throughput cancer drug screenings: An end-to-end approach


DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy


DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication


DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning


DouZero+: Improving DouDizhu AI by Opponent Modeling and Coach-guided Learning


Double Articulation Analyzer with Prosody for Unsupervised Word and Phoneme Discovery


Double Bubble, Toil and Trouble: Enhancing Certified Robustness through Transitivity


Double Check Your State Before Trusting It: Confidence-Aware Bidirectional Offline Model-Based Imagination


Double Control Variates for Gradient Estimation in Discrete Latent Variable Models


Double Correction Framework for Denoising Recommendation


Double Critic Deep Reinforcement Learning for Mapless 3D Navigation of Unmanned Aerial Vehicles


Double Cross-fit Doubly Robust Estimators: Beyond Series Regression


Double Descent Demystified: Identifying, Interpreting & Ablating the Sources of a Deep Learning Puzzle


Double Entendre: Robust Audio-Based AI-Generated Lyrics Detection via Multi-View Fusion


Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types


Double Generative Adversarial Networks for Conditional Independence Testing


Double Jeopardy and Climate Impact in the Use of Large Language Models: Socio-economic Disparities and Reduced Utility for Non-English Speakers


Double Machine Learning Methods for Estimating Average Treatment Effects: A Comparative Study


Double Machine Learning for Causal Inference under Shared-State Interference


Double Machine Learning for Static Panel Models with Fixed Effects


Double Mixture: Towards Continual Event Detection from Speech


Double Multi-Head Attention for Speaker Verification


Double Negative Control Inference in Test-Negative Design Studies of Vaccine Effectiveness


Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation


Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes


Double Robust Representation Learning for Counterfactual Prediction


Double Robust Semi-Supervised Inference for the Mean: Selection Bias under MAR Labeling with Decaying Overlap


Double Robust Variance Estimation with Parametric Working Models


Double Robustness for Complier Parameters and a Semiparametric Test for Complier Characteristics


Double Robustness of Local Projections and Some Unpleasant VARithmetic


Double Successive Over-Relaxation Q-Learning with an Extension to Deep Reinforcement Learning


Double Targeted Universal Adversarial Perturbations


Double Thompson Sampling for Dueling Bandits


Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models?


Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control


Double coset operators and eta-quotients


Double descent in quantum machine learning


Double power series method for approximating cosmological perturbations


Double precision is not necessary for LSQR for solving discrete linear ill-posed problems


Double score matching estimators of average and quantile treatment effects


Double spike Dirichlet priors for structured weighting


Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators


Double-Ended Synthesis Planning with Goal-Constrained Bidirectional Search


Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation


Double-Prong ConvLSTM for Spatiotemporal Occupancy Prediction in Dynamic Environments


Double-Scale Self-Supervised Hypergraph Learning for Group Recommendation


Double-Weighting for Covariate Shift Adaptation


Double-bracket quantum algorithms for high-fidelity ground state preparation


Double-chain Constraints for 3D Human Pose Estimation in Images and Videos


Double-grid quadrature with interpolation-projection (DoGIP) as a novel discretisation approach: An application to FEM on simplices


Double-lined spectroscopic binaries in the APOGEE DR16 and DR17 data


DoubleDiffusion: Combining Heat Diffusion with Denoising Diffusion for Texture Generation on 3D Meshes


DoubleMatch: Improving Semi-Supervised Learning with Self-Supervision


DoubleMix: Simple Interpolation-Based Data Augmentation for Text Classification


Doubly Abductive Counterfactual Inference for Text-based Image Editing


Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random


Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving under Adverse Weather


Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation


Doubly Inhomogeneous Reinforcement Learning


Doubly Mild Generalization for Offline Reinforcement Learning


Doubly Optimal No-Regret Learning in Monotone Games


Doubly Optimal No-Regret Online Learning in Strongly Monotone Games with Bandit Feedback


Doubly Regularized Entropic Wasserstein Barycenters


Doubly Right Object Recognition: A Why Prompt for Visual Rationales


Doubly Robust Conformalized Survival Analysis with Right-Censored Data


Doubly Robust Distributionally Robust Off-Policy Evaluation and Learning


Doubly Robust Estimation of Causal Excursion Effects in Micro-Randomized Trials with Missing Longitudinal Outcomes


Doubly Robust Estimation under Covariate-Induced Dependent Left Truncation


Doubly Robust Inference on Causal Derivative Effects for Continuous Treatments


Doubly Robust Kernel Statistics for Testing Distributional Treatment Effects


Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model


Doubly Robust Proximal Causal Learning for Continuous Treatments


Doubly Robust Proximal Synthetic Controls


Doubly Stochastic Neighbor Embedding on Spheres


Doubly Synchronous Binary Asteroid Mass Parameter Observability


Doubly isogenous curves of genus two with a rational action of $D_6$


Doubly ranked tests of location for grouped functional data


Doubly robust and computationally efficient high-dimensional variable selection


Doubly robust augmented weighting estimators for the analysis of externally controlled single-arm trials and unanchored indirect treatment comparisons


Doubly robust estimation and sensitivity analysis for marginal structural quantile models


Doubly robust estimation and sensitivity analysis with outcomes truncated by death in multi-arm clinical trials


Doubly robust inference with censoring unbiased transformations


Doubly robust omnibus sensitivity analysis of externally controlled trials with intercurrent events


Doubly robust treatment effect estimation with missing attributes


Doubly transitive lines II: Almost simple symmetries


Doubly unfolded adjacency spectral embedding of dynamic multiplex graphs


Doubly-Iterative Sparsified MMSE Turbo Equalization for OTFS Modulation


Doubly-Robust Estimation for Correcting Position-Bias in Click Feedback for Unbiased Learning to Rank


Doubly-Trained Adversarial Data Augmentation for Neural Machine Translation


Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding


Doubly-robust evaluation of high-dimensional surrogate markers


Doubly-robust inference and optimality in structure-agnostic models with smoothness


Douglas-Quaid -- Open Source Image Matching Library


Down and Across: Introducing Crossword-Solving as a New NLP Benchmark


Down with the Hierarchy: The 'H' in HNSW Stands for "Hubs"


Down-Sampling Inter-Layer Adapter for Parameter and Computation Efficient Ultra-Fine-Grained Image Recognition


Down-step statistics in generalized Dyck paths


Downstream Datasets Make Surprisingly Good Pretraining Corpora


Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization


Downstream Trade-offs of a Family of Text Watermarks


Downstream Transformer Generation of Question-Answer Pairs with Preprocessing and Postprocessing Pipelines


Downward continuation of marine seismic reflection data: An undervalued tool to improve velocity models


DpgMedia2019: A Dutch News Dataset for Partisanship Detection


Dr Jekyll and Mr Hyde: the Strange Case of Off-Policy Policy Updates


Dr Web: a modern, query-based web data retrieval engine


Dr$^2$Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning


Dr-COVID: Graph Neural Networks for SARS-CoV-2 Drug Repurposing


Dr-LLaVA: Visual Instruction Tuning with Symbolic Clinical Grounding


Dr-SAM: An End-to-End Framework for Vascular Segmentation, Diameter Estimation, and Anomaly Detection on Angiography Images


Dr. Jekyll and Mr. Hyde: Two Faces of LLMs


Dr. Tongue: Sign-Oriented Multi-label Detection for Remote Tongue Diagnosis


Dr. Top-k: Delegate-Centric Top-k on GPUs


Dr.Jit: A Just-In-Time Compiler for Differentiable Rendering


Dr.VOT : Measuring Positive and Negative Voice Onset Time in the Wild


Dr3: Ask Large Language Models Not to Give Off-Topic Answers in Open Domain Multi-Hop Question Answering


DrBenchmark: A Large Language Understanding Evaluation Benchmark for French Biomedical Domain


DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency


DrIFT: Autonomous Drone Dataset with Integrated Real and Synthetic Data, Flexible Views, and Transformed Domains


DrLLM: Prompt-Enhanced Distributed Denial-of-Service Resistance Method with Large Language Models


DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization


DrMaMP: Distributed Real-time Multi-agent Mission Planning in Cluttered Environment


DrNAS: Dirichlet Neural Architecture Search


DrPlanner: Diagnosis and Repair of Motion Planners for Automated Vehicles Using Large Language Models


DrVD-Bench: Do Vision-Language Models Reason Like Human Doctors in Medical Image Diagnosis?


Draco 2: An Extensible Platform to Model Visualization Design


Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding


Draft Model Knows When to Stop: A Self-Verification Length Policy for Speculative Decoding


Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs


Draft-based Approximate Inference for LLMs


DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance


DraftRec: Personalized Draft Recommendation for Winning in Multi-Player Online Battle Arena Games


DrafterBench: Benchmarking Large Language Models for Tasks Automation in Civil Engineering


Drag Your Noise: Interactive Point-based Editing via Diffusion Semantic Propagation


Drag on a partially immersed sphere at the capillary scale


DragAnything: Motion Control for Anything using Entity Representation


DragLoRA: Online Optimization of LoRA Adapters for Drag-based Image Editing in Diffusion Model


DragPoser: Motion Reconstruction from Variable Sparse Tracking Signals via Latent Space Optimization


DragVideo: Interactive Drag-style Video Editing


Dragon Crypto -- An Innovative Cryptosystem


Dragon: A Computation Graph Virtual Machine Based Deep Learning Framework


DragonVerseQA: Open-Domain Long-Form Context-Aware Question-Answering


Dragonblood is Still Leaking: Practical Cache-based Side-Channel in the Wild


Dragonfly: Multi-Resolution Zoom-In Encoding Enhances Vision-Language Models


Dragoon: Private Decentralized HITs Made Practical


Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient


DrapeNet: Garment Generation and Self-Supervised Draping


Drastically Reducing the Number of Trainable Parameters in Deep CNNs by Inter-layer Kernel-sharing


DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Text


Draw ALL Your Imagine: A Holistic Benchmark and Agent Framework for Complex Instruction-based Image Generation


Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion


Draw2Cut: Direct On-Material Annotations for CNC Milling


DrawL: Understanding the Effects of Non-Mainstream Dialects in Prompted Image Generation


Drawing Pandas: A Benchmark for LLMs in Generating Plotting Code


Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks


Drawing the Line: Deep Segmentation for Extracting Art from Ancient Etruscan Mirrors


Drawing the Same Bounding Box Twice? Coping Noisy Annotations in Object Detection with Repeated Labels


DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI


Dream and Search to Control: Latent Space Planning for Continuous Control


Dream the Impossible: Outlier Imagination with Diffusion Models


Dream to Drive with Predictive Individual World Model


DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation


DreamCar: Leveraging Car-specific Prior for in-the-wild 3D Car Reconstruction


DreamClear: High-Capacity Real-World Image Restoration with Privacy-Safe Dataset Curation


DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning


DreamComposer: Controllable 3D Object Generation via Multi-View Conditions


DreamControl: Control-Based Text-to-3D Generation with 3D Self-Prior


DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior


DreamCreature: Crafting Photorealistic Virtual Creatures from Imagination


DreamDiffusion: Generating High-Quality Images from Brain EEG Signals


DreamEditor: Text-Driven 3D Scene Editing with Neural Fields


DreamGaussian4D: Generative 4D Gaussian Splatting


DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation


DreamGen: Unlocking Generalization in Robot Learning through Video World Models


DreamID: High-Fidelity and Fast diffusion-based Face Swapping via Triplet ID Group Learning


DreamLCM: Towards High-Quality Text-to-3D Generation via Latent Consistency Model


DreamLIP: Language-Image Pre-training with Long Captions


DreamLLM: Synergistic Multimodal Comprehension and Creation


DreamMatcher: Appearance Matching Self-Attention for Semantically-Consistent Text-to-Image Personalization


DreamMix: Decoupling Object Attributes for Enhanced Editability in Customized Image Inpainting


DreamPhysics: Learning Physics-Based 3D Dynamics with Video Diffusion Priors


DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling


DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation


DreamSat: Towards a General 3D Model for Novel View Synthesis of Space Objects


DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos


DreamSteerer: Enhancing Source Image Conditioned Editability using Personalized Diffusion Models


DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation


DreamTalk: When Emotional Talking Head Generation Meets Diffusion Probabilistic Models


DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge


DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation


DreamWaltz-G: Expressive 3D Gaussian Avatars from Skeleton-Guided 2D Diffusion


Dreamento: an open-source dream engineering toolbox for sleep EEG wearables


Dreamer XL: Towards High-Resolution Text-to-3D Generation via Trajectory Score Matching


Dreamer: Dual-RIS-aided Imager in Complementary Modes


Dreaming of Electrical Waves: Generative Modeling of Cardiac Excitation Waves using Diffusion Models


Dreaming of Many Worlds: Learning Contextual World Models Aids Zero-Shot Generalization


Dreaming up scale invariance via inverse renormalization group


Dreams Are More "Predictable'' Than You Think


Dress Code: High-Resolution Multi-Category Virtual Try-On


Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks


Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing


DriVerse: Navigation World Model for Driving Simulation via Multimodal Trajectory Prompting and Motion Alignment


Drift Control of High-Dimensional RBM: A Computational Method Based on Neural Networks


Drift Reduced Navigation with Deep Explainable Features


DriftGAN: Using historical data for Unsupervised Recurring Drift Detection


DriftNet: Aggressive Driving Behavior Classification using 3D EfficientNet Architecture


DriftRec: Adapting diffusion models to blind JPEG restoration


Drill-down: Interactive Retrieval of Complex Scenes using Natural Language Queries


Drinfeld modular polynomials of level $T$


Drink Bleach or Do What Now? Covid-HeRA: A Study of Risk-Informed Health Decision Making in the Presence of COVID-19 Misinformation


DrishtiKon: Multi-Granular Visual Grounding for Text-Rich Document Images


Driv3R: Learning Dense 4D Reconstruction for Autonomous Driving


Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation


DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving


DriveAgent: Multi-Agent Structured Reasoning with LLM and Multimodal Sensor Fusion for Autonomous Driving


DriveCamSim: Generalizable Camera Simulation via Explicit Camera Modeling for Autonomous Driving


DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous Driving


DriveEditor: A Unified 3D Information-Guided Framework for Controllable Object Editing in Driving Scenes


DriveEnv-NeRF: Exploration of A NeRF-Based Autonomous Driving Environment for Real-World Performance Validation


DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation


DriveGazen: Event-Based Driving Status Recognition using Conventional Camera


DriveLMM-o1: A Step-by-Step Reasoning Dataset and Large Multimodal Model for Driving Scenario Understanding


DriveMLLM: A Benchmark for Spatial Understanding with Multimodal Large Language Models in Autonomous Driving


DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving


DriveMM: All-in-One Large Multimodal Model for Autonomous Driving


DriveNetBench: An Affordable and Configurable Single-Camera Benchmarking System for Autonomous Driving Networks


DriveSOTIF: Advancing Perception SOTIF Through Multimodal Large Language Models


DriveTester: A Unified Platform for Simulation-Based Autonomous Driving Testing


DriveThru: a Document Extraction Platform and Benchmark Datasets for Indonesian Local Language Archives


DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving


Driver Anomaly Detection: A Dataset and Contrastive Learning Approach


Driver Dojo: A Benchmark for Generalizable Reinforcement Learning for Autonomous Driving


Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network


Driver-aware charging infrastructure design


Driving Animatronic Robot Facial Expression From Speech


Driving Behavior Explanation with Multi-level Fusion


Driving Behavior Modeling using Naturalistic Human Driving Data with Inverse Reinforcement Learning


Driving Points Prediction For Abdominal Probabilistic Registration


Driving Privacy Forward: Mitigating Information Leakage within Smart Vehicles through Synthetic Data Generation


Driving Reinforcement Learning with Models


Driving Style Alignment for LLM-powered Driver Agent


Driving Style Recognition Using Interval Type-2 Fuzzy Inference System and Multiple Experts Decision Making


Driving and characterizing nucleation of urea and glycine polymorphs in water


Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?


Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving


Driving rate dependence of avalanche statistics and shapes at the yielding transition


Driving the Herd: Search Engines as Content Influencers


Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving


Driving with Context: Online Map Matching for Complex Roads Using Lane Markings and Scenario Recognition


DrivingDiffusion: Layout-Guided multi-view driving scene video generation with latent diffusion model


DrivingForward: Feed-forward 3D Gaussian Splatting for Driving Scene Reconstruction from Flexible Surround-view Input


DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes


DrivingRecon: Large 4D Gaussian Reconstruction Model For Autonomous Driving


DrivingSphere: Building a High-fidelity 4D World for Closed-loop Simulation


DroidBugs: An Android Benchmark for Automated Program Repair


DroidCall: A Dataset for LLM-powered Android Intent Invocation


DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection


DroidTTP: Mapping Android Applications with TTP for Cyber Threat Intelligence


Drone Data Analytics for Measuring Traffic Metrics at Intersections in High-Density Areas


Drone Detection using Deep Neural Networks Trained on Pure Synthetic Data


Drone Referring Localization: An Efficient Heterogeneous Spatial Feature Interaction Method For UAV Self-Localization


Drone-assisted Road Gaussian Splatting with Cross-view Uncertainty


DroneVis: Versatile Computer Vision Library for Drones


Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond


Drop Clause: Enhancing Performance, Interpretability and Robustness of the Tsetlin Machine


Drop Dropout on Single-Epoch Language Model Pretraining


Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation


Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval


Drop-Bottleneck: Learning Discrete Compressed Representation for Noise-Robust Exploration


DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks


DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation


DropClass and DropAdapt: Dropping classes for deep speaker representation learning


DropCompute: simple and more robust distributed synchronous training via compute variance reduction


DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training


DropIn: Making Reservoir Computing Neural Networks Robust to Missing Inputs by Dropout


DropLoss for Long-Tail Instance Segmentation


DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks


DropMicroFluidAgents (DMFAs): Autonomous Droplet Microfluidic Research Framework Through Large Language Model Agents


DropMix: Better Graph Contrastive Learning with Harder Negative Samples


DropNAS: Grouped Operation Dropout for Differentiable Architecture Search


DropNet: Reducing Neural Network Complexity via Iterative Pruning


DropNeuron: Simplifying the Structure of Deep Neural Networks


DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions


Droplet motion on chemically heterogeneous substrates with mass transfer. I. Two-dimensional dynamics


Droplet motion on chemically heterogeneous substrates with mass transfer. II. Three-dimensional dynamics


Dropout Concrete Autoencoder for Band Selection on HSI Scenes


Dropout Injection at Test Time for Post Hoc Uncertainty Quantification in Neural Networks


Dropout Q-Functions for Doubly Efficient Reinforcement Learning


Dropout Regularization in Extended Generalized Linear Models based on Double Exponential Families


Dropout's Dream Land: Generalization from Learned Simulators to Reality


DroughtSet: Understanding Drought Through Spatial-Temporal Learning


Drude weight in systems with open boundary conditions


Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions


Drug Discovery with Dynamic Goal-aware Fragments


Drug Repurposing for COVID-19 via Knowledge Graph Completion


Drug Similarity and Link Prediction Using Graph Embeddings on Medical Knowledge Graphs


Drug and Disease Interpretation Learning with Biomedical Entity Representation Transformer


Drug-Drug Interaction Extraction from Biomedical Text Using Long Short Term Memory Network


Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network


Drug-Target Indication Prediction by Integrating End-to-End Learning and Fingerprints


Drug-Target Interaction Prediction via an Ensemble of Weighted Nearest Neighbors with Interaction Recovery


Drug-Target Interaction Prediction with Graph Attention networks


Drug-target interaction prediction by integrating heterogeneous information with mutual attention network


DrugAssist: A Large Language Model for Molecule Optimization


DrugEHRQA: A Question Answering Dataset on Structured and Unstructured Electronic Health Records For Medicine Related Queries


DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations


DrugPilot: LLM-based Parameterized Reasoning Agent for Drug Discovery


Drum-Aware Ensemble Architecture for Improved Joint Musical Beat and Downbeat Tracking


Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets


DsDm: Model-Aware Dataset Selection with Datamodels


Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks


Du-IN: Discrete units-guided mask modeling for decoding speech from Intracranial Neural signals


DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation


DuEDL: Dual-Branch Evidential Deep Learning for Scribble-Supervised Medical Image Segmentation


DuETT: Dual Event Time Transformer for Electronic Health Records


DuFFin: A Dual-Level Fingerprinting Framework for LLMs IP Protection


DuMLP-Pin: A Dual-MLP-dot-product Permutation-invariant Network for Set Feature Extraction


DuMo: Dual Encoder Modulation Network for Precise Concept Erasure


DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation


DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation


DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs


DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications


DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation


DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion Probabilistic Model


DuaLight: Enhancing Traffic Signal Control by Leveraging Scenario-Specific and Scenario-Shared Knowledge


Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning


Dual Advancement of Representation Learning and Clustering for Sparse and Noisy Images


Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution


Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation


Dual Aggregation Transformer for Image Super-Resolution


Dual Arbitrary Scale Super-Resolution for Multi-Contrast MRI


Dual Ask-Answer Network for Machine Reading Comprehension


Dual Aspect Self-Attention based on Transformer for Remaining Useful Life Prediction


Dual Associated Encoder for Face Restoration


Dual Attention GANs for Semantic Image Synthesis


Dual Attention MobDenseNet(DAMDNet) for Robust 3D Face Alignment


Dual Attention Networks for Visual Reference Resolution in Visual Dialog


Dual Attention Residual U-Net for Accurate Brain Ultrasound Segmentation in IVH Detection


Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World


Dual Attention U-Net with Feature Infusion: Pushing the Boundaries of Multiclass Defect Segmentation


Dual Attention-Based Federated Learning for Wireless Traffic Prediction


Dual Attentive Sequential Learning for Cross-Domain Click-Through Rate Prediction


Dual Averaging Method for Online Graph-structured Sparsity


Dual Branch Prior-SegNet: CNN for Interventional CBCT using Planning Scan and Auxiliary Segmentation Loss


Dual CNN Models for Unsupervised Monocular Depth Estimation


Dual Caption Preference Optimization for Diffusion Models


Dual Cluster Contrastive learning for Object Re-Identification


Dual Conditioned Motion Diffusion for Pose-Based Video Anomaly Detection


Dual Cone Gradient Descent for Training Physics-Informed Neural Networks


Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation


Dual Contrastive Loss and Attention for GANs


Dual Cross-Attention for Medical Image Segmentation


Dual Decomposition of Convex Optimization Layers for Consistent Attention in Medical Images


Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning


Dual Diffusion Implicit Bridges for Image-to-Image Translation


Dual Dimensions Geometric Representation Learning Based Document Dewarping


Dual Discriminator Generative Adversarial Nets


Dual Dynamic Threshold Adjustment Strategy for Deep Metric Learning


Dual Encoder Fusion U-Net (DEFU-Net) for Cross-manufacturer Chest X-ray Segmentation


Dual Encoding for Zero-Example Video Retrieval


Dual Ensembled Multiagent Q-Learning with Hypernet Regularizer


Dual Expert Distillation Network for Generalized Zero-Shot Learning


Dual Feature Augmentation Network for Generalized Zero-shot Learning


Dual Gaussian-based Variational Subspace Disentanglement for Visible-Infrared Person Re-Identification


Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems


Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning


Dual High-Order Total Variation Model for Underwater Image Restoration


Dual Hyperspectral Mamba for Efficient Spectral Compressive Imaging


Dual In-painting Model for Unsupervised Gaze Correction and Animation in the Wild


Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation


Dual Intents Graph Modeling for User-centric Group Discovery


Dual Invariance Self-training for Reliable Semi-supervised Surgical Phase Recognition


Dual Learning for Semi-Supervised Natural Language Understanding


Dual Long Short-Term Memory Networks for Sub-Character Representation Learning


Dual Mean-Teacher: An Unbiased Semi-Supervised Framework for Audio-Visual Source Localization


Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation


Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models


Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning


Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection


Dual Metric Learning for Effective and Efficient Cross-Domain Recommendations


Dual Modality Prompt Tuning for Vision-Language Pre-Trained Model


Dual Multi-scale Mean Teacher Network for Semi-supervised Infection Segmentation in Chest CT Volume for COVID-19


Dual Mutual Learning Network with Global-local Awareness for RGB-D Salient Object Detection


Dual Numbers for Arbitrary Order Automatic Differentiation


Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations


Dual Operating Modes of In-Context Learning


Dual Parameterization of Sparse Variational Gaussian Processes


Dual Path Learning for Domain Adaptation of Semantic Segmentation


Dual Personalization on Federated Recommendation


Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems


Dual Progressive Transformations for Weakly Supervised Semantic Segmentation


Dual Projection Generative Adversarial Networks for Conditional Image Generation


Dual Propagation: Accelerating Contrastive Hebbian Learning with Dyadic Neurons


Dual Prototype Attention for Unsupervised Video Object Segmentation


Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models


Dual Pyramid Generative Adversarial Networks for Semantic Image Synthesis


Dual Quaternion Ambisonics Array for Six-Degree-of-Freedom Acoustic Representation


Dual Queue Coupled AQM: Deployable Very Low Queuing Delay for All


Dual RL: Unification and New Methods for Reinforcement and Imitation Learning


Dual Reader-Parser on Hybrid Textual and Tabular Evidence for Open Domain Question Answering


Dual Relation Knowledge Distillation for Object Detection


Dual Representation Learning for One-Step Clustering of Multi-View Data


Dual Representation Learning for Out-of-Distribution Detection


Dual Residual Attention Network for Image Denoising


Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration


Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models


Dual SDDP for risk-averse multistage stochastic programs


Dual Side Deep Context-aware Modulation for Social Recommendation


Dual Slot Selector via Local Reliability Verification for Dialogue State Tracking


Dual Stream Computer-Generated Image Detection Network Based On Channel Joint And Softpool


Dual Student: Breaking the Limits of the Teacher in Semi-supervised Learning


Dual Supervision Framework for Relation Extraction with Distant Supervision and Human Annotation


Dual Thinking and Logical Processing -- Are Multi-modal Large Language Models Closing the Gap with Human Vision ?


Dual Traits in Probabilistic Reasoning of Large Language Models


Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation


Dual Unscented Kalman Filter Architecture for Sensor Fusion in Water Networks Leak Localization


Dual channel CW nnU-Net for 3D PET-CT Lesion Segmentation in 2024 autoPET III Challenge


Dual encoding feature filtering generalized attention UNET for retinal vessel segmentation


Dual feature-based and example-based explanation methods


Dual input neural networks for positional sound source localization


Dual input stream transformer for vertical drift correction in eye-tracking reading data


Dual mechanism of Anti-Seizure Medications in controlling seizure activity


Dual skip connections in U-Net, ResUnet and U-Net3+ for remote extraction of buildings


Dual-Agent Reinforcement Learning for Automated Feature Generation


Dual-Alignment Pre-training for Cross-lingual Sentence Embedding


Dual-Attention GAN for Large-Pose Face Frontalization


Dual-Awareness Attention for Few-Shot Object Detection


Dual-Balancing for Physics-Informed Neural Networks


Dual-Branch Graph Transformer Network for 3D Human Mesh Reconstruction from Video


Dual-Branch Knowledge Distillation for Noise-Robust Synthetic Speech Detection


Dual-Branch Network for Portrait Image Quality Assessment


Dual-Branch Squeeze-Fusion-Excitation Module for Cross-Modality Registration of Cardiac SPECT and CT


Dual-Branch Subpixel-Guided Network for Hyperspectral Image Classification


Dual-Camera Smooth Zoom on Mobile Phones


Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images


Dual-Constrained Dynamical Neural ODEs for Ambiguity-aware Continuous Emotion Prediction


Dual-Context Aggregation for Universal Image Matting


Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation


Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning


Dual-Diffusion: Dual Conditional Denoising Diffusion Probabilistic Models for Blind Super-Resolution Reconstruction in RSIs


Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays


Dual-Domain Coarse-to-Fine Progressive Estimation Network for Simultaneous Denoising, Limited-View Reconstruction, and Attenuation Correction of Cardiac SPECT


Dual-Domain Cross-Iteration Squeeze-Excitation Network for Sparse Reconstruction of Brain MRI


Dual-Domain Image Synthesis using Segmentation-Guided GAN


Dual-Encoders for Extreme Multi-Label Classification


Dual-Free Stochastic Decentralized Optimization with Variance Reduction


Dual-Geometric Space Embedding Model for Two-View Knowledge Graphs


Dual-Hybrid Attention Network for Specular Highlight Removal


Dual-Key Multimodal Backdoors for Visual Question Answering


Dual-Level Cross-Modal Contrastive Clustering


Dual-Level Precision Edges Guided Multi-View Stereo with Accurate Planarization


Dual-Mandate Patrols: Multi-Armed Bandits for Green Security


Dual-Modality Vehicle Anomaly Detection via Bilateral Trajectory Tracing


Dual-Octave Convolution for Accelerated Parallel MR Image Reconstruction


Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation


Dual-Path Coupled Image Deraining Network via Spatial-Frequency Interaction


Dual-Path Temporal Map Optimization for Make-up Temporal Video Grounding


Dual-Personalizing Adapter for Federated Foundation Models


Dual-Polarization Stacked Intelligent Metasurfaces for Holographic MIMO


Dual-Query Multiple Instance Learning for Dynamic Meta-Embedding based Tumor Classification


Dual-Reference Source-Free Active Domain Adaptation for Nasopharyngeal Carcinoma Tumor Segmentation across Multiple Hospitals


Dual-Representation Interaction Driven Image Quality Assessment with Restoration Assistance


Dual-Scale Transformer for Large-Scale Single-Pixel Imaging


Dual-Space NeRF: Learning Animatable Avatars and Scene Lighting in Separate Spaces


Dual-Stage Approach Toward Hyperspectral Image Super-Resolution


Dual-Stream Attention Transformers for Sewer Defect Classification


Dual-Stream Pyramid Registration Network


Dual-Stream Reciprocal Disentanglement Learning for Domain Adaptation Person Re-Identification


Dual-Stream Transformer for Generic Event Boundary Captioning


Dual-Task Learning for Dead Tree Detection and Segmentation with Hybrid Self-Attention U-Nets in Aerial Imagery


Dual-Task Mutual Learning for Semi-Supervised Medical Image Segmentation


Dual-Teacher De-biasing Distillation Framework for Multi-domain Fake News Detection


Dual-Teacher Ensemble Models with Double-Copy-Paste for 3D Semi-Supervised Medical Image Segmentation


Dual-Teacher++: Exploiting Intra-domain and Inter-domain Knowledge with Reliable Transfer for Cardiac Segmentation


Dual-Time Smoothed Particle Hydrodynamics for Incompressible Fluid Simulation


Dual-Tuning: Joint Prototype Transfer and Structure Regularization for Compatible Feature Learning


Dual-Valued Functions of Dual Matrices with Applications in Causal Emergence


Dual-View Disentangled Multi-Intent Learning for Enhanced Collaborative Filtering


Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement


Dual-branch Hybrid Learning Network for Unbiased Scene Graph Generation


Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech Translation


Dual-disentangled Deep Multiple Clustering


Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images


Dual-encoded magnetization transfer and diffusion imaging and its application to tract-specific microstructure mapping


Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss


Dual-interest Factorization-heads Attention for Sequential Recommendation


Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud Segmentation


Dual-level Fuzzy Learning with Patch Guidance for Image Ordinal Regression


Dual-level Interaction for Domain Adaptive Semantic Segmentation


Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks


Dual-level Semantic Transfer Deep Hashing for Efficient Social Image Retrieval


Dual-path Adaptation from Image to Video Transformers


Dual-path CNN with Max Gated block for Text-Based Person Re-identification


Dual-path Collaborative Generation Network for Emotional Video Captioning


Dual-path Frequency Discriminators for Few-shot Anomaly Detection


Dual-path TokenLearner for Remote Photoplethysmography-based Physiological Measurement with Facial Videos


Dual-path Transformer Based Neural Beamformer for Target Speech Extraction


Dual-sPLS: a family of Dual Sparse Partial Least Squares regressions for feature selection and prediction with tunable sparsity; evaluation on simulated and near-infrared (NIR) data


Dual-scale Enhanced and Cross-generative Consistency Learning for Semi-supervised Medical Image Segmentation


Dual-slope imaging of cerebral hemodynamics with frequency-domain near-infrared spectroscopy


Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation


Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken


Dual-stream Feature Augmentation for Domain Generalization


Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning


Dual-stream Transformer-GCN Model with Contextualized Representations Learning for Monocular 3D Human Pose Estimation


Dual-task Mutual Reinforcing Embedded Joint Video Paragraph Retrieval and Grounding


Dual-view Correlation Hybrid Attention Network for Robust Holistic Mammogram Classification


Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network


DualAD: Dual-Layer Planning for Reasoning in Autonomous Driving


DualAnoDiff: Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation


DualAttNet: Synergistic Fusion of Image-level and Fine-Grained Disease Attention for Multi-Label Lesion Detection in Chest X-rays


DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection


DualBEV: Unifying Dual View Transformation with Probabilistic Correspondences


DualCam: A Novel Benchmark Dataset for Fine-grained Real-time Traffic Light Detection


DualCodec: A Low-Frame-Rate, Semantically-Enhanced Neural Audio Codec for Speech Generation


DualConv: Dual Convolutional Kernels for Lightweight Deep Neural Networks


DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes


DualDn: Dual-domain Denoising via Differentiable ISP


DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis


DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision


DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations


DualFluidNet: an Attention-based Dual-pipeline Network for FLuid Simulation


DualFocus: Integrating Macro and Micro Perspectives in Multi-modal Large Language Models


DualLQR: Efficient Grasping of Oscillating Apples using Task Parameterized Learning from Demonstration


DualMap: Online Open-Vocabulary Semantic Mapping for Natural Language Navigation in Dynamic Changing Scenes


DualMatch: Robust Semi-Supervised Learning with Dual-Level Interaction


DualOpt: A Dual Divide-and-Optimize Algorithm for the Large-scale Traveling Salesman Problem


DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency


DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium


DualSC: Automatic Generation and Summarization of Shellcode via Transformer and Dual Learning


DualSDF: Semantic Shape Manipulation using a Two-Level Representation


DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs


DualSmoke: Sketch-Based Smoke Illustration Design with Two-Stage Generative Model


DualTHOR: A Dual-Arm Humanoid Simulation Platform for Contingency-Aware Planning


DualTeacher: Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection


DualVAE: Dual Disentangled Variational AutoEncoder for Recommendation


DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue


DualVGR: A Dual-Visual Graph Reasoning Unit for Video Question Answering


DualVector: Unsupervised Vector Font Synthesis with Dual-Part Representation


Duality theory in linear optimization and its extensions -- formally verified


Dually Enhanced Propensity Score Estimation in Sequential Recommendation


Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots


Dubo-SQL: Diverse Retrieval-Augmented Generation and Fine Tuning for Text-to-SQL


Ducho meets Elliot: Large-scale Benchmarks for Multimodal Recommendation


Dueling Posterior Sampling for Preference-Based Reinforcement Learning


Duet: Creating Harmony between Processors and Embedded FPGAs


Duet: efficient and scalable hybriD neUral rElation undersTanding


DuetGen: Music Driven Two-Person Dance Generation via Hierarchical Masked Modeling


DuetSim: Building User Simulator with Dual Large Language Models for Task-Oriented Dialogues


Duluth UROP at SemEval-2018 Task 2: Multilingual Emoji Prediction with Ensemble Learning and Oversampling


Duluth at SemEval-2025 Task 7: TF-IDF with Optimized Vector Dimensions for Multilingual Fact-Checked Claim Retrieval


Dumpy: A Compact and Adaptive Index for Large Data Series Collections


DumpyOS: A Data-Adaptive Multi-ary Index for Scalable Data Series Similarity Search