DeepTheft: Stealing DNN Model Architectures through Power Side Channel


DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning


DeepThought: a Reputation and Voting-based Blockchain Oracle


DeepTileBars: Visualizing Term Distribution for Neural Information Retrieval


DeepTopoNet: A Framework for Subglacial Topography Estimation on the Greenland Ice Sheets


DeepTract: A Probabilistic Deep Learning Framework for White Matter Fiber Tractography


DeepTraderX: Challenging Conventional Trading Strategies with Deep Learning in Multi-Threaded Market Simulations


DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing Anomalies


DeepType: Multilingual Entity Linking by Neural Type System Evolution


DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration


DeepUQ: Assessing the Aleatoric Uncertainties from two Deep Learning Methods


DeepURL: Deep Pose Estimation Framework for Underwater Relative Localization


DeepUnifiedMom: Unified Time-series Momentum Portfolio Construction via Multi-Task Learning with Multi-Gate Mixture of Experts


DeepV2D: Video to Depth with Differentiable Structure from Motion


DeepVARwT: Deep Learning for a VAR Model with Trend


DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality


DeepVel: deep learning for the estimation of horizontal velocities at the solar surface


DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal Fusion


DeepVigor+: Scalable and Accurate Semi-Analytical Fault Resilience Analysis for Deep Neural Network


DeepVir -- Graphical Deep Matrix Factorization for "In Silico" Antiviral Repositioning: Application to COVID-19


DeepWSD: Projecting Degradations in Perceptual Space to Wasserstein Distance in Deep Feature Space


DeepWalking Backwards: From Embeddings Back to Graphs


DeepWay: a Deep Learning Waypoint Estimator for Global Path Generation


DeepWheat: Estimating Phenotypic Traits from Crop Images with Deep Learning


DeepWiener: Neural Networks for CMB polarization maps and power spectrum computation


DeepWriting: Making Digital Ink Editable via Deep Generative Modeling


DeepZensols: Deep Natural Language Processing Framework


DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training


DeepZip: Lossless Data Compression using Recurrent Neural Networks


Deepchecks: A Library for Testing and Validating Machine Learning Models and Data


Deepcode: Feedback Codes via Deep Learning


DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution


Deepened Graph Auto-Encoders Help Stabilize and Enhance Link Prediction


Deepening gamma-ray point-source catalogues with sub-threshold information


Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning


Deeper Insights into Weight Sharing in Neural Architecture Search


Deeper Learning By Doing: Integrating Hands-On Research Projects Into a Machine Learning Course


Deeper Text Understanding for IR with Contextual Neural Language Modeling


Deeper Understanding of Black-box Predictions via Generalized Influence Functions


Deeper but smaller: Higher-order interactions increase linear stability but shrink basins


Deeper into Self-Supervised Monocular Indoor Depth Estimation


Deeper or Wider Networks of Point Clouds with Self-attention?


Deeper, Sharper, Faster: Application of Efficient Transformer to Galaxy Image Restoration


DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results


DeeperImpact: Optimizing Sparse Learned Index Structures


Deepfake Detection and the Impact of Limited Computing Capabilities


Deepfake Detection by Human Crowds, Machines, and Machine-informed Crowds


Deepfake Detection using Spatiotemporal Convolutional Networks


Deepfake Detection without Deepfakes: Generalization via Synthetic Frequency Patterns Injection


Deepfake Generation and Detection: A Benchmark and Survey


Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlook


Deepfake Network Architecture Attribution


Deepfake Video Detection Using Convolutional Vision Transformer


Deepfake Video Detection Using Generative Convolutional Vision Transformer


Deepfake Videos in the Wild: Analysis and Detection


Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024


DeepfakeArt Challenge: A Benchmark Dataset for Generative AI Art Forgery and Data Poisoning Detection


Deepfakes on Demand: the rise of accessible non-consensual deepfake image generators


DeepiSign-G: Generic Watermark to Stamp Hidden DNN Parameters for Self-contained Tracking


Deeply Coupled Cross-Modal Prompt Learning


Deeply Learned Spectral Total Variation Decomposition


Deeply Optimizing the SAT Solver for the IC3 Algorithm


Deeply Shape-guided Cascade for Instance Segmentation


Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship Detection


Deeply Supervised Rotation Equivariant Network for Lesion Segmentation in Dermoscopy Images


Deeply Uncertain: Comparing Methods of Uncertainty Quantification in Deep Learning Algorithms


Deeply-Coupled Convolution-Transformer with Spatial-temporal Complementary Learning for Video-based Person Re-identification


Deeply-Debiased Off-Policy Interval Estimation


Deeply-Learned Generalized Linear Models with Missing Data


Deeptime: a Python library for machine learning dynamical models from time series data


DefAn: Definitive Answer Dataset for LLMs Hallucination Evaluation


DefCor-Net: Physics-Aware Ultrasound Deformation Correction


DefExt: A Semi Supervised Definition Extraction Tool


DefFiller: Mask-Conditioned Diffusion for Salient Steel Surface Defect Generation


DefSLAM: Tracking and Mapping of Deforming Scenes from Monocular Sequences


DefSent+: Improving sentence embeddings of language models by projecting definition sentences into a quasi-isotropic or isotropic vector space of unlimited dictionary entries


DefSent: Sentence Embeddings using Definition Sentences


DefVerify: Do Hate Speech Models Reflect Their Dataset's Definition?


DefakeHop: A Light-Weight High-Performance Deepfake Detector


Default Bayes Factors for Testing the (In)equality of Several Population Variances


Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization


Defeating Proactive Jammers Using Deep Reinforcement Learning for Resource-Constrained IoT Networks


Defect Prediction Guided Search-Based Software Testing


Defect Reduction Planning (using TimeLIME)


Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics


Defect design in ferroelectrics -- new insights on agglomeration


Defect-Driven Anomalous Transport in Fast-Ion Conducting Solid Electrolytes


DefenderBench: A Toolkit for Evaluating Language Agents in Cybersecurity Environments


Defending Adversarial Attacks on Deep Learning Based Power Allocation in Massive MIMO Using Denoising Autoencoders


Defending Adversarial Examples by Negative Correlation Ensemble


Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM


Defending Against Backdoor Attacks by Layer-wise Feature Analysis


Defending Against Backdoor Attacks in Natural Language Generation


Defending Against Disinformation Attacks in Open-Domain Question Answering


Defending Against Diverse Attacks in Federated Learning Through Consensus-Based Bi-Level Optimization


Defending Against Model Stealing Attacks with Adaptive Misinformation


Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning


Defending Against Repetitive Backdoor Attacks on Semi-supervised Learning through Lens of Rate-Distortion-Perception Trade-off


Defending Against Social Engineering Attacks in the Age of LLMs


Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning


Defending Against Universal Attacks Through Selective Feature Regeneration


Defending Distributed Classifiers Against Data Poisoning Attacks


Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation Learning


Defending Large Language Models Against Attacks With Residual Stream Activation Analysis


Defending Large Language Models Against Jailbreak Attacks via Layer-specific Editing


Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing


Defending Neural Backdoors via Generative Distribution Modeling


Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising


Defending Pre-trained Language Models from Adversarial Word Substitutions Without Performance Sacrifice


Defending Regression Learners Against Poisoning Attacks


Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders


Defending Touch-based Continuous Authentication Systems from Active Adversaries Using Generative Adversarial Networks


Defending a Music Recommender Against Hubness-Based Adversarial Attacks


Defending against Adversarial Audio via Diffusion Model


Defending against Adversarial Images using Basis Functions Transformations


Defending against Data Poisoning Attacks in Federated Learning via User Elimination


Defending against Indirect Prompt Injection by Instruction Detection


Defending against Insertion-based Textual Backdoor Attacks via Attribution


Defending against Model Stealing via Verifying Embedded External Features


Defending against Whitebox Adversarial Attacks via Randomized Discretization


Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training


Defense Against Adversarial Attacks on Audio DeepFake Detection


Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization


Defense Against Model Extraction Attacks on Recommender Systems


Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy


Defense Against the Dark Prompts: Mitigating Best-of-N Jailbreaking with Prompt Evaluation


Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser


Defense against Prompt Injection Attacks via Mixture of Encodings


Defense of Word-level Adversarial Attacks via Random Substitution Encoding


Defense-Prefix for Preventing Typographic Attacks on CLIP


Defense-VAE: A Fast and Accurate Defense against Adversarial Attacks


Defense-friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty


DefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variational Graph Autoencoder


Defensive Approximation: Securing CNNs using Approximate Computing


Defensive Distillation based Adversarial Attacks Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks


Defensive Patches for Robust Recognition in the Physical World


Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models


Deficiency of chemical reaction networks: The effect of operations that preserve multistationarity and periodic orbits


Deficiency-Aware Masked Transformer for Video Inpainting


Deficit hawks: robust new physics searches with unknown backgrounds


Defining Boundaries: A Spectrum of Task Feasibility for Large Language Models


Defining Locality for Surrogates in Post-hoc Interpretablity


Defining a synthetic data generator for realistic electric vehicle charging sessions


Defining and Characterizing Reward Hacking


Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation


Defining and Detecting the Defects of the Large Language Model-based Autonomous Agents


Defining and Estimating Effects in Cluster Randomized Trials: A Methods Comparison


Defining and Extracting generalizable interaction primitives from DNNs


Defining and Quantifying the Emergence of Sparse Concepts in DNNs


Definite Non-Ancestral Relations and Structure Learning


Definite orders with locally free cancellation


Definition Frames: Using Definitions for Hybrid Concept Representations


Definition Modeling: Learning to define word embeddings in natural language


Definition and Detection of Defects in NFT Smart Contracts


Definition generation for lexical semantic change detection


Definition of Static and Dynamic Load Models for Grid Studies of Electric Vehicles Connected to Fast Charging Stations


Deflated Multigrid Multilevel Monte Carlo


Deflation Techniques for Finding Multiple Local Minima of a Nonlinear Least Squares Problem


Defocus Blur Detection via Depth Distillation


Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space


DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets


DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps


Deform-GAN:An Unsupervised Learning Model for Deformable Registration


Deform3DGS: Flexible Deformation for Fast Surgical Scene Reconstruction with Gaussian Splatting


DeformIrisNet: An Identity-Preserving Model of Iris Texture Deformation


DeformPAM: Data-Efficient Learning for Long-horizon Deformable Object Manipulation via Preference-based Action Alignment


DeformRS: Certifying Input Deformations with Randomized Smoothing


DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting


DeformToon3D: Deformable 3D Toonification from Neural Radiance Fields


Deformable 3D Convolution for Video Super-Resolution


Deformable Butterfly: A Highly Structured and Sparse Linear Transform


Deformable Groupwise Image Registration using Low-Rank and Sparse Decomposition


Deformable Kernel Networks for Joint Image Filtering


Deformable Linear Object Prediction Using Locally Linear Latent Dynamics


Deformable One-shot Face Stylization via DINO Semantic Guidance


Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes


Deformable Siamese Attention Networks for Visual Object Tracking


Deformable Slice-to-Volume Registration for Motion Correction in Fetal Body MRI


Deformable Temporal Convolutional Networks for Monaural Noisy Reverberant Speech Separation


Deformable VisTR: Spatio temporal deformable attention for video instance segmentation


Deformably Registering and Annotating Whole CLARITY Brains to an Atlas via Masked LDDMM


Deformation Recovery: Localized Learning for Detail-Preserving Deformations


Deformation Spaces and Static Animations


Deformation equivariant cross-modality image synthesis with paired non-aligned training data


Deformation-Compensated Learning for Image Reconstruction without Ground Truth


Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis


Deformations of the Boundary Theory of the Square Lattice AKLT Model


Deformed Implicit Field: Modeling 3D Shapes with Learned Dense Correspondence


Deformed2Self: Self-Supervised Denoising for Dynamic Medical Imaging


Deformer: Towards Displacement Field Learning for Unsupervised Medical Image Registration


Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction


DegUIL: Degree-aware Graph Neural Networks for Long-tailed User Identity Linkage


Degenerate Squeezing in Waveguides: A Unified Theoretical Approach


Degradation Estimation Recurrent Neural Network with Local and Non-Local Priors for Compressive Spectral Imaging


Degradation Modeling and Prognostic Analysis Under Unknown Failure Modes


Degradation Oriented and Regularized Network for Blind Depth Super-Resolution


Degradation Self-Supervised Learning for Lithium-ion Battery Health Diagnostics


Degradation-Aware Feature Perturbation for All-in-One Image Restoration


Degradation-Aware Residual-Conditioned Optimal Transport for Unified Image Restoration


Degradation-Aware Self-Attention Based Transformer for Blind Image Super-Resolution


Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors


Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint Network


Degrade is Upgrade: Learning Degradation for Low-light Image Enhancement


Degraded Polygons Raise Fundamental Questions of Neural Network Perception


DegreEmbed: incorporating entity embedding into logic rule learning for knowledge graph reasoning


Degree Matrix Comparison for Graph Alignment


Degree irregularity and rank probability bias in network meta-analysis


Degree of logarithmic foliations of type (1,1,1)


Degree-Aware Alignment for Entities in Tail


Degrees of Freedom and Model Selection for k-means Clustering


Degrees-of-freedom penalized piecewise regression


Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media with Airlight and Scattering Coefficient Estimation


DeiSAM: Segment Anything with Deictic Prompting


Deimos: A Grammar of Dynamic Embodied Immersive Visualisation Morphs and Transitions


Deinterleaving of Discrete Renewal Process Mixtures with Application to Electronic Support Measures


DejAIvu: Identifying and Explaining AI Art on the Web in Real-Time with Saliency Maps


Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time


DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory


Delaunay Component Analysis for Evaluation of Data Representations


Delaunay-Triangulation-Based Learning with Hessian Total-Variation Regularization


Delay Sensitive Task Offloading in the 802.11p Based Vehicular Fog Computing Systems


Delay master stability of inertial oscillator networks


Delay model for the dynamics of information units in the digital environment


Delay-Aware Model-Based Reinforcement Learning for Continuous Control


Delay-Aware Multi-Agent Reinforcement Learning for Cooperative and Competitive Environments


Delay-Constrained Rate Control for Real-Time Video Streaming with Bounded Neural Network


Delay-Oriented Distributed Scheduling Using Graph Neural Networks


Delay-SDE-net: A deep learning approach for time series modelling with memory and uncertainty estimates


Delay-Tolerant ICN and Its Application to LoRa


Delay-Weighted Calibration: Precision Calibration for 21 cm Cosmology with Resilience to Sky Model Error


Delay-tolerant distributed Bregman proximal algorithms


DelayDiffEq: Generating Delay Differential Equation Solvers via Recursive Embedding of Ordinary Differential Equation Solvers


Delayed Memory Unit: Modelling Temporal Dependency Through Delay Gate


Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems


Delayed closed-loop neurostimulation for the treatment of pathological brain rhythms in mental disorders


Delayed interactions in the noisy voter model through the periodic polling mechanism


Delayed resilient trajectory tracking after partial loss of control authority over actuators


Delayed supermartingale convergence lemmas for stochastic approximation with Nesterov momentum


Delayed takedown of illegal content on social media makes moderation ineffective


Delaying Interaction Layers in Transformer-based Encoders for Efficient Open Domain Question Answering


Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown


Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation


Deliberation and Voting in Approval-Based Multi-Winner Elections


Deliberative and Conceptual Inference in Service Robots


Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement


Delivering Arbitrary-Modal Semantic Segmentation


Delog: A Privacy Preserving Log Filtering Framework for Online Compute Platforms


Delooping generated groups in homotopy type theory


Delphi: Efficient Asynchronous Approximate Agreement for Distributed Oracles


Delta Decompression for MoE-based LLMs Compression


Delta Descriptors: Change-Based Place Representation for Robust Visual Localization


Delta Distillation for Efficient Video Processing


Delta Hedging Liquidity Positions on Automated Market Makers


Delta Schema Network in Model-based Reinforcement Learning


Delta-AI: Local objectives for amortized inference in sparse graphical models


Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models


Delta-Decision Procedures for Exists-Forall Problems over the Reals


Delta-Influence: Unlearning Poisons via Influence Functions


Delta-encoder: an effective sample synthesis method for few-shot object recognition


Delta-net: Real-time Network Verification Using Atoms


DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point Clouds


DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking


DeltaGNN: Graph Neural Network with Information Flow Control


DeltaGrad: Rapid retraining of machine learning models


DeltaLM: Encoder-Decoder Pre-training for Language Generation and Translation by Augmenting Pretrained Multilingual Encoders


DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models


DeltaNet:Conditional Medical Report Generation for COVID-19 Diagnosis


DeltaPhi: Learning Physical Trajectory Residual for PDE Solving


DeltaScore: Fine-Grained Story Evaluation with Perturbations


Deluca -- A Differentiable Control Library: Environments, Methods, and Benchmarking


DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows


Delve into Visual Contrastive Decoding for Hallucination Mitigation of Large Vision-Language Models


Delving Deep into Engagement Prediction of Short Videos


Delving Deep into the Generalization of Vision Transformers under Distribution Shifts


Delving Deeper into Cross-lingual Visual Question Answering


Delving Deeper into the Decoder for Video Captioning


Delving Globally into Texture and Structure for Image Inpainting


Delving StyleGAN Inversion for Image Editing: A Foundation Latent Space Viewpoint


Delving into CLIP latent space for Video Anomaly Recognition


Delving into ChatGPT usage in academic writing through excess vocabulary


Delving into Dark Regions for Robust Shadow Detection


Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling


Delving into Localization Errors for Monocular 3D Object Detection


Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification


Delving into Motion-Aware Matching for Monocular 3D Object Tracking


Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm Perspectives


Delving into Multilingual Ethical Bias: The MSQAD with Statistical Hypothesis Tests for Large Language Models


Delving into Out-of-Distribution Detection with Medical Vision-Language Models


Delving into Out-of-Distribution Detection with Vision-Language Representations


Delving into Sample Loss Curve to Embrace Noisy and Imbalanced Data


Delving into Shape-aware Zero-shot Semantic Segmentation


Delving into Transferable Adversarial Examples and Black-box Attacks


Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse


Delving into the Continuous Domain Adaptation


Delving into the Estimation Shift of Batch Normalization in a Network


Delving into the Utilisation of ChatGPT in Scientific Publications in Astronomy


Demand Modeling for Advanced Air Mobility


Demand Selection for VRP with Emission Quota


Demanded Abstract Interpretation (Extended Version)


Dementia Assessment Using Mandarin Speech with an Attention-based Speech Recognition Encoder


Demeter: Resource-Efficient Distributed Stream Processing under Dynamic Loads with Multi-Configuration Optimization


Demixed shared component analysis of neural population data from multiple brain areas


Demo -- Zelig: Customizable Blockchain Simulator


Demo2Code: From Summarizing Demonstrations to Synthesizing Code via Extended Chain-of-Thought


Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics


Demo: RhythmEdge: Enabling Contactless Heart Rate Estimation on the Edge


DemoFusion: Democratising High-Resolution Image Generation With No $$$


DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task


DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task


Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection


Democratizing Aviation Emissions Estimation: Development of an Open-Source, Data-Driven Methodology


Democratizing LEO Satellite Network Measurement


Democratizing Large Language Model-Based Graph Data Augmentation via Latent Knowledge Graphs


Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning


Democratizing Reasoning Ability: Tailored Learning from Large Language Model


Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records


Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging


Demographic Factors Associated with Triage Acuity, Admission and Length of Stay During Adult Emergency Department Visits


Demographic Predictability in 3D CT Foundation Embeddings


Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting


Demography-independent behavioural dynamics influenced the spread of COVID-19 in Denmark


Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection


Demon in the machine: learning to extract work and absorb entropy from fluctuating nanosystems


DemonAgent: Dynamically Encrypted Multi-Backdoor Implantation Attack on LLM-based Agent


Demonstrating Kondo behavior by temperature-dependent scanning tunneling spectroscopy


Demonstrating PilotAR: A Tool to Assist Wizard-of-Oz Pilot Studies with OHMD


Demonstrating and Reducing Shortcuts in Vision-Language Representation Learning


Demonstrating repetitive non-destructive readout (RNDR) with SiSeRO devices


Demonstrating specification gaming in reasoning models


Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active Inference


Demonstrating the Efficacy of Kolmogorov-Arnold Networks in Vision Tasks


Demonstration Augmentation for Zero-shot In-context Learning


Demonstration Informed Specification Search


Demonstration Sidetracks: Categorizing Systematic Non-Optimality in Human Demonstrations


Demonstration of Metaplectic Geometrical Optics for Reduced Modeling of Plasma Waves


Demonstration of Quantum Energy Teleportation on Superconducting Quantum Hardware


Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows


Demonstration of a Tunable Non-Hermitian Nonlinear Microwave Dimer


Demonstration of a quantum SWITCH in a Sagnac configuration


Demonstration of an AI-driven workflow for autonomous high-resolution scanning microscopy


Demonstration of an Adversarial Attack Against a Multimodal Vision Language Model for Pathology Imaging


Demonstration of an imaging technique for the measurement of PSF elongation caused by Atmospheric Dispersion


Demonstration of quantum advantage in machine learning


Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot


Demonstration-based learning for few-shot biomedical named entity recognition under machine reading comprehension


Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum


Demonstrations Are All You Need: Advancing Offensive Content Paraphrasing using In-Context Learning


Demystify Mamba in Vision: A Linear Attention Perspective


Demystify Transformers & Convolutions in Modern Image Deep Networks


Demystifying AI Platform Design for Distributed Inference of Next-Generation LLM models


Demystifying Bitcoin Address Behavior via Graph Neural Networks


Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression


Demystifying Differentiable Programming: Shift/Reset the Penultimate Backpropagator


Demystifying Disagreement-on-the-Line in High Dimensions


Demystifying Distributed Training of Graph Neural Networks for Link Prediction


Demystifying Domain-adaptive Post-training for Financial LLMs


Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics


Demystifying Graph Sparsification Algorithms in Graph Properties Preservation


Demystifying Instruction Mixing for Fine-tuning Large Language Models


Demystifying Issues, Causes and Solutions in LLM Open-Source Projects


Demystifying Large Language Models for Medicine: A Primer


Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition


Demystifying Long Chain-of-Thought Reasoning in LLMs


Demystifying Map Space Exploration for NPUs


Demystifying Privacy Policy of Third-Party Libraries in Mobile Apps


Demystifying Random Number in Ethereum Smart Contract: Taxonomy, Vulnerability Identification, and Attack Detection


Demystifying Reasoning Dynamics with Mutual Information: Thinking Tokens are Information Peaks in LLM Reasoning


Demystifying Spatial Dependence: Interactive Visualizations for Interpreting Local Spatial Autocorrelation


Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?


Demystifying Trajectory Recovery From Ash: An Open-Source Evaluation and Enhancement


Demystifying Verbatim Memorization in Large Language Models


Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD


Demystifying and Detecting Cryptographic Defects in Ethereum Smart Contracts


Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents


Demystifying and Extracting Fault-indicating Information from Logs for Failure Diagnosis


Demystifying the Adversarial Robustness of Random Transformation Defenses


Demystifying the COVID-19 vaccine discourse on Twitter


Demystifying the Compression of Mixture-of-Experts Through a Unified Framework


Demystifying the Effect of Receptive Field Size in U-Net Models for Medical Image Segmentation


Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training?


Demystifying the Recency Heuristic in Temporal-Difference Learning


DenMune: Density peak based clustering using mutual nearest neighbors


DendroMap: Visual Exploration of Large-Scale Image Datasets for Machine Learning with Treemaps


DengueNet: Dengue Prediction using Spatiotemporal Satellite Imagery for Resource-Limited Countries


Denial-of-Service Poisoning Attacks against Large Language Models


Denise: Deep Robust Principal Component Analysis for Positive Semidefinite Matrices


DenoDet: Attention as Deformable Multi-Subspace Feature Denoising for Target Detection in SAR Images


DenoMAE: A Multimodal Autoencoder for Denoising Modulation Signals


DenoMamba: A fused state-space model for low-dose CT denoising


DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning


DenoiSeg: Joint Denoising and Segmentation


Denoise Pretraining on Nonequilibrium Molecules for Accurate and Transferable Neural Potentials


Denoise and Contrast for Category Agnostic Shape Completion


DenoiseRep: Denoising Model for Representation Learning


DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration


Denoised Self-Augmented Learning for Social Recommendation


Denoiser-based projections for 2-D super-resolution multi-reference alignment


Denoising Architecture for Unsupervised Anomaly Detection in Time-Series


Denoising Bottleneck with Mutual Information Maximization for Video Multimodal Fusion


Denoising Diffusion Delensing Delight: Reconstructing the Non-Gaussian CMB Lensing Potential with Diffusion Models


Denoising Diffusion Models for 3D Healthy Brain Tissue Inpainting


Denoising Diffusion Models for Plug-and-Play Image Restoration


Denoising Diffusion Planner: Learning Complex Paths from Low-Quality Demonstrations


Denoising Diffusion Post-Processing for Low-Light Image Enhancement


Denoising Diffusion Probabilistic Model for Point Cloud Compression at Low Bit-Rates


Denoising Diffusion Probabilistic Model for Retinal Image Generation and Segmentation


Denoising Diffusion Probabilistic Models as a Defense against Adversarial Attacks


Denoising Diffusion Probabilistic Models for Generation of Realistic Fully-Annotated Microscopy Image Data Sets


Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors


Denoising Diffusion-Based Control of Nonlinear Systems


Denoising Distantly Supervised Named Entity Recognition via a Hypergeometric Probabilistic Model


Denoising Graph Super-Resolution towards Improved Collider Event Reconstruction


Denoising Higher-order Moments for Blind Digital Modulation Identification in Multiple-antenna Systems


Denoising IMU Gyroscopes with Deep Learning for Open-Loop Attitude Estimation


Denoising MCMC for Accelerating Diffusion-Based Generative Models


Denoising Masked AutoEncoders Help Robust Classification


Denoising Milky Way stellar survey data with normalizing flow models


Denoising Monte Carlo Renders with Diffusion Models


Denoising Multi-Source Weak Supervision for Neural Text Classification


Denoising Noisy Neural Networks: A Bayesian Approach with Compensation


Denoising Prior Driven Deep Neural Network for Image Restoration


Denoising Relation Extraction from Document-level Distant Supervision


Denoising Table-Text Retrieval for Open-Domain Question Answering


Denoising Task Routing for Diffusion Models


Denoising and Prompt-Tuning for Multi-Behavior Recommendation


Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators


Denoising as Adaptation: Noise-Space Domain Adaptation for Image Restoration


Denoising diffusion models with geometry adaptation for high fidelity calorimeter simulation


Denoising diffusion-based MRI to CT image translation enables automated spinal segmentation


Denoising individual bias for a fairer binary submatrix detection


Denoising of 3-D Magnetic Resonance Images Using a Residual Encoder-Decoder Wasserstein Generative Adversarial Network


Denoising of 3D MR images using a voxel-wise hybrid residual MLP-CNN model to improve small lesion diagnostic confidence


Denoising quantum states with Quantum Autoencoders -- Theory and Applications


Denoising-Aware Contrastive Learning for Noisy Time Series


Denoising-based Contractive Imitation Learning


Denoising: from classical methods to deep CNNs


Denotation Extraction for Interactive Learning in Dialogue Systems


Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation


Dense 3D Displacement Estimation for Landslide Monitoring via Fusion of TLS Point Clouds and Embedded RGB Images


Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network


Dense 3D Regression for Hand Pose Estimation


Dense Associative Memory Through the Lens of Random Features


Dense Audio-Visual Event Localization under Cross-Modal Consistency and Multi-Temporal Granularity Collaboration


Dense Backpropagation Improves Training for Sparse Mixture-of-Experts


Dense Captioning with Joint Inference and Visual Context


Dense Center-Direction Regression for Object Counting and Localization with Point Supervision


Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation


Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging


Dense Depth Estimation from Multiple 360-degree Images Using Virtual Depth


Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods


Dense Depth Priors for Neural Radiance Fields from Sparse Input Views


Dense Distributions from Sparse Samples: Improved Gibbs Sampling Parameter Estimators for LDA


Dense Embeddings Preserving the Semantic Relationships in WordNet


Dense Gaussian Processes for Few-Shot Segmentation


Dense Graph Partitioning on sparse and dense graphs


Dense Hierarchical Retrieval for Open-Domain Question Answering


Dense Hopfield Networks in the Teacher-Student Setting


Dense Hybrid Proposal Modulation for Lane Detection


Dense Information Flow for Neural Machine Translation


Dense Learning based Semi-Supervised Object Detection


Dense Match Summarization for Faster Two-view Estimation


Dense Neural Network Based Arrhythmia Classification on Low-cost and Low-compute Micro-controller


Dense Optical Tracking: Connecting the Dots


Dense Pixel-to-Pixel Harmonization via Continuous Image Representation


Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry


Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection


Dense Retrieval as Indirect Supervision for Large-space Decision Making


Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation


Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings


Dense Reward for Free in Reinforcement Learning from Human Feedback


Dense Siamese Network for Dense Unsupervised Learning


Dense Steerable Filter CNNs for Exploiting Rotational Symmetry in Histology Images


Dense Text Retrieval based on Pretrained Language Models: A Survey


Dense Text-to-Image Generation with Attention Modulation


Dense Unsupervised Learning for Video Segmentation


Dense Video Captioning Using Unsupervised Semantic Information


Dense and well-connected subgraph detection in dual networks


Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset


Dense open-set recognition with synthetic outliers generated by Real NVP


Dense-ATOMIC: Towards Densely-connected ATOMIC with High Knowledge Coverage and Massive Multi-hop Paths


Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA


Dense-Captioning Events in Videos: SYSU Submission to ActivityNet Challenge 2020


Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline


Dense-Resolution Network for Point Cloud Classification and Segmentation


DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting


DenseCap: Fully Convolutional Localization Networks for Dense Captioning


DenseFusion-1M: Merging Vision Experts for Comprehensive Multimodal Perception


DenseGNN: universal and scalable deeper graph neural networks for high-performance property prediction in crystals and molecules


DenseHMM: Learning Hidden Markov Models by Learning Dense Representations


DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback


DenseLoRA: Dense Low-Rank Adaptation of Large Language Models


DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models


DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs


DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing


DenseQMC: an efficient bit-slice implementation of the Quine-McCluskey algorithm


DenseSeg: Joint Learning for Semantic Segmentation and Landmark Detection Using Dense Image-to-Shape Representation


DenseTact: Optical Tactile Sensor for Dense Shape Reconstruction


DenseTrack: Drone-based Crowd Tracking via Density-aware Motion-appearance Synergy


DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World


Densely Connected $G$-invariant Deep Neural Networks with Signed Permutation Representations


Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation


Densely Connected Search Space for More Flexible Neural Architecture Search


Densely Constrained Depth Estimator for Monocular 3D Object Detection


Densely Deformable Efficient Salient Object Detection Network


Densely Guided Knowledge Distillation using Multiple Teacher Assistants


Densely Nested Top-Down Flows for Salient Object Detection


Densely connected neural networks for nonlinear regression


Densely sampled phylogenies frequently deviate from maximum parsimony in simple and local ways


Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity


Density Conversion between 1-D and 3-D Stellar Models with 1D-MESA2HYDRO-3D


Density Crop-guided Semi-supervised Object Detection in Aerial Images


Density Deconvolution with Normalizing Flows


Density Encoding Enables Resource-Efficient Randomly Connected Neural Networks


Density Estimation on Manifolds with Boundary


Density Fixing: Simple yet Effective Regularization Method based on the Class Prior


Density Functional Theory Study of Surface Stability and Phase Diagram of Orthorhombic CsPbI3


Density Map Guided Object Detection in Aerial Images


Density Matching for Bilingual Word Embedding


Density Matrix Renormalization Group Approach Based on the Coupled-Cluster Downfolded Hamiltonians


Density Planner: Minimizing Collision Risk in Motion Planning with Dynamic Obstacles using Density-based Reachability


Density Ratio Estimation via Infinitesimal Classification


Density Ratio-based Causal Discovery from Bivariate Continuous-Discrete Data


Density Sensitive Bifiltered Dowker Complexes via Total Weight


Density Uncertainty Layers for Reliable Uncertainty Estimation


Density dependent speed-up of particle transport in channels


Density estimation for ordinal biological sequences and its applications


Density estimation on low-dimensional manifolds: an inflation-deflation approach


Density of States Prediction for Materials Discovery via Contrastive Learning from Probabilistic Embeddings


Density regression via Dirichlet process mixtures of normal structured additive regression models


Density-Based Topology Optimization in Method of Moments: Q-factor Minimization


Density-Guided Dense Pseudo Label Selection For Semi-supervised Oriented Object Detection


Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection


Density-Matrix Renormalization Group for Continuous Quantum Systems


Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution Shifts


Density-aware Walks for Coordinated Campaign Detection


Density-based clustering with fully-convolutional networks for crowd flow detection from drones


Density-dependent hopping for ultracold atoms immersed in a Bose-Einstein-condensate vortex lattice


Density-potential inversion from Moreau-Yosida regularization


Deobfuscation of Semi-Linear Mixed Boolean-Arithmetic Expressions


Deontic Paradoxes in ASP with Weak Constraints


Deontological Ethics By Monotonicity Shape Constraints


Deoscillated Graph Collaborative Filtering


Dep-$L_0$: Improving $L_0$-based Network Sparsification via Dependency Modeling


DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit


DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text


DependEval: Benchmarking LLMs for Repository Dependency Understanding


Dependability Analysis of Deep Reinforcement Learning based Robotics and Autonomous Systems through Probabilistic Model Checking


Dependence Structure Estimation via Copula


Dependence of $X_{\rm CO}$ on metallicity, intensity, and spatial scale in a self-regulated interstellar medium


Dependence of Spicule Properties on the Magnetic Field -- Results from Magnetohydrodynamics Simulations


Dependence versus Conditional Dependence in Local Causal Discovery from Gene Expression Data


Dependence-Aware, Unbounded Sound Predictive Race Detection


Dependence-based fuzzy clustering of functional time series


Dependence-robust confidence intervals for capture-recapture surveys


Dependency Induction Through the Lens of Visual Perception


Dependency Learning for Legal Judgment Prediction with a Unified Text-to-Text Transformer


Dependency Parsing with Bottom-up Hierarchical Pointer Networks


Dependency Recurrent Neural Language Models for Sentence Completion


Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models


Dependency in DAG models with Hidden Variables


Dependency-Guided LSTM-CRF for Named Entity Recognition


Dependency-aware Self-training for Entity Alignment


Dependency-based Convolutional Neural Networks for Sentence Embedding


Dependency-based Mixture Language Models


Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma Augmentation


Dependent relevance determination for smooth and structured sparse regression


Dependently Typed Folds for Nested Data Types


Depends-Kotlin: A Cross-Language Kotlin Dependency Extractor


Depermissioning Web3: a Permissionless Accountable RPC Protocol for Blockchain Networks


Deperturbation of Online Social Networks via Bayesian Label Transition


Deployability-Centric Infrastructure-as-Code Generation: An LLM-based Iterative Framework


Deployable Reinforcement Learning with Variable Control Rate


Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations


Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges


Deploying Large Language Models With Retrieval Augmented Generation


Deploying Robots in Everyday Environments: Towards Dependable and Practical Robotic Systems


Deploying Vaccine Distribution Sites for Improved Accessibility and Equity to Support Pandemic Response


Deploying a Task-based Runtime System on Raspberry Pi Clusters


Deploying and Evaluating LLMs to Program Service Mobile Robots


Deploying the Conditional Randomization Test in High Multiplicity Problems


Deployment of Image Analysis Algorithms under Prevalence Shifts


Deployment of NLP and LLM Techniques to Control Mobile Robots at the Edge: A Case Study Using GPT-4-Turbo and LLaMA 2


Deployment of UAVs for Optimal Multihop Ad-hoc Networks Using Particle Swarm Optimization and Behavior-based Control


DepoRanker: A Web Tool to predict Klebsiella Depolymerases using Machine Learning


Depolarization of echo chambers by random dynamical nudge


DepressionEmo: A novel dataset for multilabel classification of depression emotions


DepressionX: Knowledge Infused Residual Attention for Explainable Depression Severity Assessment


DepsRAG: Towards Agentic Reasoning and Planning for Software Dependency Management


Depth $F_1$: Improving Evaluation of Cross-Domain Text Classification by Measuring Semantic Generalizability


Depth Any Camera: Zero-Shot Metric Depth Estimation from Any Camera


Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation


Depth Any Video with Scalable Synthetic Data


Depth Based Semantic Scene Completion with Position Importance Aware Loss


Depth CNNs for RGB-D scene recognition: learning from scratch better than transferring from RGB-CNNs


Depth Completion using Geometry-Aware Embedding


Depth Completion with Twin Surface Extrapolation at Occlusion Boundaries


Depth Contrast: Self-Supervised Pretraining on 3DPM Images for Mining Material Classification


Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light


Depth Estimation from Monocular Images and Sparse Radar Data


Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression Network


Depth Functions for Partial Orders with a Descriptive Analysis of Machine Learning Algorithms


Depth Growing for Neural Machine Translation


Depth Guided Adaptive Meta-Fusion Network for Few-shot Video Recognition


Depth Image Inpainting: Improving Low Rank Matrix Completion with Low Gradient Regularization


Depth Information Assisted Collaborative Mutual Promotion Network for Single Image Dehazing


Depth Map Decomposition for Monocular Depth Estimation


Depth Matters: Multimodal RGB-D Perception for Robust Autonomous Agents


Depth Pro: Sharp Monocular Metric Depth in Less Than a Second


Depth Pruning with Auxiliary Networks for TinyML


Depth Self-Optimized Learning Toward Data Science


Depth and DOF Cues Make A Better Defocus Blur Detector


Depth and Representation in Vision Models


Depth estimation from 4D light field videos


Depth from Coupled Optical Differentiation


Depth self-supervision for single image novel view synthesis


Depth video data-enabled predictions of longitudinal dairy cow body weight using thresholding and Mask R-CNN algorithms


Depth-2 Neural Networks Under a Data-Poisoning Attack


Depth-Adaptive Graph Recurrent Network for Text Classification


Depth-Aware Image Compositing Model for Parallax Camera Motion Blur


Depth-Based Local Center Clustering: A Framework for Handling Different Clustering Scenarios


Depth-Driven Geometric Prompt Learning for Laparoscopic Liver Landmark Detection


Depth-Guided Bundle Sampling for Efficient Generalizable Neural Radiance Field Reconstruction


Depth-Guided Sparse Structure-from-Motion for Movies and TV Shows


Depth-NeuS: Neural Implicit Surfaces Learning for Multi-view Reconstruction Based on Depth Information Optimization


Depth-Optimal Addressing of 2D Qubit Array with 1D Controls Based on Exact Binary Matrix Factorization


Depth-Optimal Quantum Layout Synthesis as SAT


Depth-Regularized Optimization for 3D Gaussian Splatting in Few-Shot Images


Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets


Depth-aware Test-Time Training for Zero-shot Video Object Segmentation


Depth-aware Volume Attention for Texture-less Stereo Matching


Depth-based 6DoF Object Pose Estimation using Swin Transformer


Depth-bounding is effective: Improvements and evaluation of unsupervised PCFG induction


Depth-conditioned Dynamic Message Propagation for Monocular 3D Object Detection


Depth-supervised NeRF: Fewer Views and Faster Training for Free


DepthCrafter: Generating Consistent Long Depth Sequences for Open-world Videos


DepthFM: Fast Monocular Depth Estimation with Flow Matching


DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation


DepthMOT: Depth Cues Lead to a Strong Multi-Object Tracker


DepthSplat: Connecting Gaussian Splatting and Depth


Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information Fusion


Depthwise Convolution is All You Need for Learning Multiple Visual Domains


Depthwise Multiception Convolution for Reducing Network Parameters without Sacrificing Accuracy


Dequantization and Color Transfer with Diffusion Models


DerainCycleGAN: Rain Attentive CycleGAN for Single Image Deraining and Rainmaking


DerainNeRF: 3D Scene Estimation with Adhesive Waterdrop Removal


Derandomized Novelty Detection with FDR Control via Conformal E-values


Derandomized Truncated D-vine Copula Knockoffs with e-values to control the false discovery rate


Derandomized knockoffs: leveraging e-values for false discovery rate control


Derangement model of ligand-receptor binding


Dereflection Any Image with Diffusion Priors and Diversified Data


Derivation of Back-propagation for Graph Convolutional Networks using Matrix Calculus and its Application to Explainable Artificial Intelligence


Derivation of outcome-dependent dietary patterns for low-income women obtained from survey data using a Supervised Weighted Overfitted Latent Class Analysis


Derivation of recursive formulas for integrals of Hermite polynomial products and their applications


Derivation of the Gromeka Acceleration Vector for Dimensionless Womersley Flow


Derivation of the free energy, entropy and specific heat for planar Ising models: Application to Archimedean lattices and their duals


Derivative Delay Embedding: Online Modeling of Streaming Time Series


Derivative estimation by RKHS regularization for learning dynamics from time-series data


Derivative free optimization via repeated classification


Derivative-Free Multiobjective Trust Region Descent Method Using Radial Basis Function Surrogate Models


Derivative-based SINDy (DSINDy): Addressing the challenge of discovering governing equations from noisy data


Derivative-enhanced Deep Operator Network


Derivative-free global minimization for a class of multiple minima problems


Derivative-free optimization is competitive for aerodynamic design optimization in moderate dimensions


Derivative-free tree optimization for complex systems


Derivatives of $L$-series of weakly holomorphic cusp forms


Derived metrics for the game of Go -- intrinsic network strength assessment and cheat-detection


Deriving Activation Functions Using Integration


Deriving Analytical Solutions Using Symbolic Matrix Structural Analysis: Part 2 -- Plane Trusses


Deriving Autism Spectrum Disorder Functional Networks from RS-FMRI Data using Group ICA and Dictionary Learning


Deriving Disinformation Insights from Geolocalized Twitter Callouts


Deriving Language Models from Masked Language Models


Deriving Rewards for Reinforcement Learning from Symbolic Behaviour Descriptions of Bipedal Walking


Deriving Stellar Properties, Distances, and Reddenings using Photometry and Astrometry with BRUTUS


Deriving Word Vectors from Contextualized Language Models using Topic-Aware Mention Selection


Deriving pulsar pair-production multiplicities from pulsar wind nebulae using H.E.S.S. and LHAASO observations


Deriving the star formation histories of galaxies from spectra with simulation-based inference


Deriving three-outcome permutationally invariant Bell inequalities


Derm1M: A Million-scale Vision-Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology


DermDiff: Generative Diffusion Model for Mitigating Racial Biases in Dermatology Diagnosis


DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images


DermX: an end-to-end framework for explainable automated dermatological diagnosis


DermaCon-IN: A Multi-concept Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research


Dermatological Diagnosis Explainability Benchmark for Convolutional Neural Networks


DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation


Dermoscopic Dark Corner Artifacts Removal: Friend or Foe?


Descartes: Generating Short Descriptions of Wikipedia Articles


Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers


Descent Properties of an Anderson Accelerated Gradient Method With Restarting


Descent Steps of a Relation-Aware Energy Produce Heterogeneous Graph Neural Networks


Descent methods for studying integer points on $y^{n}=f(x)g(x),\ n\ge 2$


Describe Anything Model for Visual Question Answering on Text-rich Images


Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach


Describe me an Aucklet: Generating Grounded Perceptual Category Descriptions


Describe, Transform, Machine Learning: Feature Engineering for Grain Boundaries and Other Variable-Sized Atom Clusters


Describing Differences between Text Distributions with Natural Language


Describing Differences in Image Sets with Natural Language


Describing Images $\textit{Fast and Slow}$: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes


Describing Nonstationary Data Streams in Frequency Domain


Describing Robots from Design to Learning: Towards an Interactive Lifecycle Representation of Robots


Describing Sets of Images with Textual-PCA


Describing and Organizing Semantic Web and Machine Learning Systems in the SWeMLS-KG


Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes


Description Generation using Variational Auto-Encoders for precursor microRNA


Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift


Description-Enhanced Label Embedding Contrastive Learning for Text Classification


Descriptive Caption Enhancement with Visual Specialists for Multimodal Perception


Descriptive Complexity of Sensitivity of Cellular Automata


Descriptive Kernel Convolution Network with Improved Random Walk Kernel


Descriptive and Predictive Analysis of Euroleague Basketball Games and the Wisdom of Basketball Crowds


Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning


Descriptor-based Foundation Models for Molecular Property Prediction


Descriptor: Face Detection Dataset for Programmable Threshold-Based Sparse-Vision


Descriptors-free Collective Variables From Geometric Graph Neural Networks


Deselection of Base-Learners for Statistical Boosting -- with an Application to Distributional Regression


Desiderata for next generation of ML model serving


Design Activism for Minimum Wage Crowd Work


Design Challenges for a Future Liquid Xenon Observatory


Design Challenges for a Multi-Perspective Search Engine


Design Challenges in Named Entity Transliteration


Design Characterization for Black-and-White Textures in Visualization


Design Optimization of Nuclear Fusion Reactor through Deep Reinforcement Learning


Design Principle Transfer in Neural Architecture Search via Large Language Models


Design Principles for Sparse Matrix Multiplication on the GPU


Design Process is a Reinforcement Learning Problem


Design Proteins Using Large Language Models: Enhancements and Comparative Analyses


Design Space Exploration of Neural Network Activation Function Circuits


Design Space Exploration on Efficient and Accurate Human Pose Estimation from Sparse IMU-Sensing


Design What You Desire: Icon Generation from Orthogonal Application and Theme Labels


Design and Analysis of the NIPS 2016 Review Process


Design and Application of a Relativistic Kramers-Kronig Analysis Algorithm


Design and Control of a Midair-Reconfigurable Quadcopter using Unactuated Hinges


Design and Development of Autonomous Delivery Robot


Design and Development of PCN-Miner: A tool for the Analysis of Protein Contact Networks


Design and Evaluation of Motion Planners for Quadrotors in Environments with Varying Complexities


Design and Evaluation of a Bioinspired Tendon-Driven 3D-Printed Robotic Eye with Active Vision Capabilities


Design and Evaluation of a Generic Visual SLAM Framework for Multi-Camera Systems


Design and Fabrication of Low Cost Cardiopulmonary Resuscitaion Device | A Novel Mechatronics System


Design and Implement an Enhanced Simulator for Autonomous Delivery Robot


Design and Implementation of TAG: A Tabletop Games Framework


Design and Implementation of a Psychiatry Resident Training System Based on Large Language Models


Design and Implementation of a Quantum Kernel for Natural Language Processing


Design and Implementation of an FPGA-Based Hardware Accelerator for Transformer


Design and Motion Planning for a Reconfigurable Robotic Base


Design and Simulation of the Adaptive Continuous Entanglement Generation Protocol


Design and Use of Loop-Transformation Pragmas


Design and analysis of a microplate assay in the presence of multiple restrictions on the randomization


Design and analysis of an exactly divergence-free hybridized discontinuous Galerkin method for incompressible flows on meshes with quadrilateral cells


Design and control of a robotic payload stabilization mechanism for rocket flights


Design and efficiency in graph-state computation


Design and implementation of a parsimonious neuromorphic PID for onboard altitude control for MAVs using neuromorphic processors


Design and implementation of an environment for Learning to Run a Power Network (L2RPN)


Design and implementation of intelligent packet filtering in IoT microcontroller-based devices


Design of Bayesian Clinical Trials with Clustered Data and Multiple Endpoints


Design of Bistable Soft Deployable Structures via a Kirigami-inspired Planar Fabrication Approach


Design of Chain-of-Thought in Math Problem Solving


Design of Distributed Controller for Discrete-Time Systems Via the Integration of Extended LMI and Clique-Wise Decomposition


Design of Distributed Reconfigurable Robotics Systems with ReconROS


Design of Efficient Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data


Design of Efficient Point-Mass Filter with Application in Terrain Aided Navigation


Design of Kernels in Convolutional Neural Networks for Image Classification


Design of Low-Artifact Interpolation Kernels by Means of Computer Algebra


Design of Negative Sampling Strategies for Distantly Supervised Skill Extraction


Design of Stickbug: a Six-Armed Precision Pollination Robot


Design of Trimmed Helicoid Soft-Rigid Hybrid Robots


Design of a Continuous Local Flexibility Market with Network Constraints


Design of a Graphical User Interface for Few-Shot Machine Learning Classification of Electron Microscopy Data


Design of a Quality Management System based on the EU Artificial Intelligence Act


Design of accurate formulas for approximating functions in weighted Hardy spaces by discrete energy minimization


Design of an Autonomous Agriculture Robot for Real Time Weed Detection using CNN


Design of an Axial Flux Permanent Magnet Eddy Current Brake for Application on Light Weight Motor Vehicles


Design of an Optimal Testbed for Tracking of Tagged Marine Megafauna


Design of low-cost, compact and weather-proof whole sky imagers for high-dynamic-range captures


Design of optical neural networks with component imprecisions


Design of optimization tools for quantum information theory


Design of phase III trials with long-term survival outcomes based on short-term binary results


Design of platform trials with a change in the control treatment arm


Design of quantum optical experiments with logic artificial intelligence


Design of the topology for contrastive visual-textual alignment


Design principles of deep translationally-symmetric neural quantum states for frustrated magnets


Design strategies for the self-assembly of polyhedral shells


Design, Fabrication and Evaluation of a Stretchable High-Density Electromyography Array


Design, Implementation and Practical Energy-Efficiency Evaluation of a Blockchain Based Academic Credential Verification System for Low-Power Nodes


Design, fabrication and characterization of kinetic-inductive force sensors for scanning probe applications


Design, implementation, and validation of a benchmark generator for combinatorial interaction testing tools


Design-Based Inference under Random Potential Outcomes via Riesz Representation


DesignBench: A Comprehensive Benchmark for MLLM-based Front-end Code Generation


DesignEdit: Multi-Layered Latent Decomposition and Fusion for Unified & Accurate Image Editing


DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation


DesignRepair: Dual-Stream Design Guideline-Aware Frontend Repair with Large Language Models


Designed Dithering Sign Activation for Binary Neural Networks


Designing A Sustainable Marine Debris Clean-up Framework without Human Labels


Designing An Illumination-Aware Network for Deep Image Relighting


Designing Asynchronous Multiparty Protocols with Crash-Stop Failures


Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling


Designing Coils to Produce User-specified Magnetic Field Profiles Inside a Closed Finite-length High-Permeability Cylinder


Designing Decision Support Systems Using Counterfactual Prediction Sets


Designing Deep Networks for Scene Recognition


Designing Digital Voting Systems for Citizens: Achieving Fairness and Legitimacy in Participatory Budgeting


Designing Experiments to Measure Incrementality on Facebook


Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows


Designing LLM-simulated Immersive Spaces to Enhance Autistic Children's Social Affordances Understanding


Designing Large Foundation Models for Efficient Training and Inference: A Survey


Designing Network Algorithms via Large Language Models


Designing Neural Speaker Embeddings with Meta Learning


Designing New Phase Selection Heuristics


Designing Novel Cognitive Diagnosis Models via Evolutionary Multi-Objective Neural Architecture Search


Designing Observables for Measurements with Deep Learning


Designing Optimal Behavioral Experiments Using Machine Learning


Designing Personalized Garments with Body Movement


Designing Pin-pression Gripper and Learning its Dexterous Grasping with Online In-hand Adjustment


Designing Practical PTASes for Minimum Feedback Vertex Set in Planar Graphs


Designing Programming Exercises from Board Games


Designing Quantum Networks Using Preexisting Infrastructure


Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-implementation Guidelines


Designing Robust API Monitoring Solutions


Designing Shared Information Displays for Agents of Varying Strategic Sophistication


Designing Silicon Brains using LLM: Leveraging ChatGPT for Automated Description of a Spiking Neuron Array


Designing Skill-Compatible AI: Methodologies and Frameworks in Chess


Designing Stable Neural Networks using Convex Analysis and ODEs


Designing Time-Series Models With Hypernetworks & Adversarial Portfolios


Designing Tractable Piecewise Affine Policies for Multi-Stage Adjustable Robust Optimization


Designing a Better Asymmetric VQGAN for StableDiffusion


Designing a Dashboard for Transparency and Control of Conversational AI


Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations


Designing a Framework for Solving Multiobjective Simulation Optimization Problems


Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering


Designing a Real-Time IoT Data Streaming Testbed for Horizontally Scalable Analytical Platforms: Czech Post Case Study


Designing a boron nitride polyethylene composite for shielding neutrons


Designing a skilled soccer team for RoboCup: exploring skill-set-primitives through reinforcement learning


Designing an Encoder for StyleGAN Image Manipulation


Designing an Evaluation Framework for Large Language Models in Astronomy Research


Designing an Optimal Kilonova Search using DECam for Gravitational Wave Events


Designing an adaptive room for captivating the collective consciousness from internal states


Designing and Deploying Online Field Experiments


Designing and Evaluating Presentation Strategies for Fact-Checked Content


Designing and Interpreting Probes with Control Tasks


Designing and evaluating an online reinforcement learning agent for physical exercise recommendations in N-of-1 trials


Designing light-element materials with large effective spin-orbit coupling


Designing metasurface optical interfaces for solid-state qubits using many-body adjoint shape optimization


Designing optical glasses by machine learning coupled with a genetic algorithm


Designing optimal loop, saddle, and ellipse-based magnetic coils by spherical harmonic mapping


Designing optimal protocols in Bayesian quantum parameter estimation with higher-order operations


Designing quantum many-body matter with conditional generative adversarial networks


Designing temporal networks that synchronize under resource constraints


Designing text representations for existing data using the TextFormats Specification Language


Designing the Business Conversation Corpus


Designing wavelength sampling for Fabry-Pérot observations. Information-based spectral sampling


Desire Backpropagation: A Lightweight Training Algorithm for Multi-Layer Spiking Neural Networks based on Spike-Timing-Dependent Plasticity


Desmoking laparoscopy surgery images using an image-to-image translation guided by an embedded dark channel


Despeckling Polarimetric SAR Data Using a Multi-Stream Complex-Valued Fully Convolutional Network


Desperate times call for desperate measures: government spending multipliers in hard times


Destination Calculus: A Linear λ-Calculus for Purely Functional Memory Writes


Destroy and Repair Using Hyper Graphs for Routing


Det-SAM2:Technical Report on the Self-Prompting Segmentation Framework Based on Segment Anything Model 2


Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain Robustness


DetIE: Multilingual Open Information Extraction Inspired by Object Detection


DetMatch: Two Teachers are Better Than One for Joint 2D and 3D Semi-Supervised Object Detection


DetNAS: Backbone Search for Object Detection


DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM


DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds


Detachable Novel Views Synthesis of Dynamic Scenes Using Distribution-Driven Neural Radiance Fields


Detached and Interactive Multimodal Learning


Detaching and Boosting: Dual Engine for Scale-Invariant Self-Supervised Monocular Depth Estimation


Detail Matters: Mamba-Inspired Joint Unfolding Network for Snapshot Spectral Compressive Imaging


Detail Preserved Point Cloud Completion via Separated Feature Aggregation


Detail-Preserving Pooling in Deep Networks


Detail-Preserving Transformer for Light Field Image Super-Resolution


Detail-revealing Deep Video Super-resolution


DetailCLIP: Detail-Oriented CLIP for Fine-Grained Tasks


DetailFlow: 1D Coarse-to-Fine Autoregressive Image Generation via Next-Detail Prediction


Detailed 2D-3D Joint Representation for Human-Object Interaction


Detailed Analysis of Local Climate at the CTAO-North Site on La Palma from 20 Years of MAGIC Weather Station Data


Detailed Facial Geometry Recovery from Multi-View Images by Learning an Implicit Function


Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation


Detailed Object Description with Controllable Dimensions


Detailed delineation of the fetal brain in diffusion MRI via multi-task learning


Detailed evolutionary models of massive contact binaries: I. Model grids and synthetic populations for the Magellanic Clouds


Detailed nuclear structure calculations for coherent elastic neutrino-nucleus scattering


Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning


Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution


DetarNet: Decoupling Translation and Rotation by Siamese Network for Point Cloud Registration


Detect All Abuse! Toward Universal Abusive Language Detection Models


Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory Perception


Detect Any Deepfakes: Segment Anything Meets Face Forgery Detection and Localization


Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation


Detect Closer Surfaces that can be Seen: New Modeling and Evaluation in Cross-domain 3D Object Detection


Detect Fake with Fake: Leveraging Synthetic Data-driven Representation for Synthetic Image Detection


Detect Llama -- Finding Vulnerabilities in Smart Contracts using Large Language Models


Detect Rumors in Microblog Posts for Low-Resource Domains via Adversarial Contrastive Learning


Detect and Correct Bias in Multi-Site Neuroimaging Datasets


Detect and Correct: A Selective Noise Correction Method for Learning with Noisy Labels


Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising


Detect and Locate: Exposing Face Manipulation by Semantic- and Noise-level Telltales


Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding


Detect the Interactions that Matter in Matter: Geometric Attention for Many-Body Systems


Detect what you want: Target Sound Detection


Detect, Augment, Compose, and Adapt: Four Steps for Unsupervised Domain Adaptation in Object Detection


Detect, Classify, Act: Categorizing Industrial Anomalies with Multi-Modal Large Language Models


DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware


DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?


DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text


DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios


Detectability and Parameter Estimation for Einstein Telescope Configurations with GWJulia


Detectability of Emission from Exoplanet Outflows Calculated by pyTPCI, a New 1D Radiation-Hydrodynamic Code


Detectability of Macroscopic Structures in Directed Asymmetric Stochastic Block Model


Detectability of Rotational Modulation in Kepler Sun-like Stars as a Function of Age


Detectability of Self-Lensing Flares of White Dwarfs with Compact Companions


Detectability of Sub-Solar Mass Neutron Stars Through a Template Bank Search


Detectability of Varied Hybridization Scenarios using Genome-Scale Hybrid Detection Methods


Detectable MeV Neutrino Signals from Neutron-Star Common-Envelope Systems


Detecting "protein words" through unsupervised word segmentation


Detecting 32 Pedestrian Attributes for Autonomous Vehicles


Detecting AI Trojans Using Meta Neural Analysis


Detecting AI-Generated Sentences in Human-AI Collaborative Hybrid Texts: Challenges, Strategies, and Insights


Detecting AI-Generated Texts in Cross-Domains


Detecting AI-Generated Video via Frame Consistency


Detecting Abnormal Operations in Concentrated Solar Power Plants from Irregular Sequences of Thermal Images


Detecting Abrupt Changes in Sequential Pairwise Comparison Data


Detecting Abrupt Changes in the Spectra of High-Energy Astrophysical Sources


Detecting Adversarial Attacks on Neural Network Policies with Visual Foresight


Detecting Adversarial Data via Perturbation Forgery


Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification


Detecting Adversarial Examples in Batches -- a geometrical approach


Detecting Adversarial Faces Using Only Real Face Self-Perturbations


Detecting Adversarial Perturbations in Multi-Task Perception


Detecting Anomalies in Semantic Segmentation with Prototypes


Detecting Anomalies within Time Series using Local Neural Transformations


Detecting Anomalous Events in Object-centric Business Processes via Graph Neural Networks


Detecting Antagonistic and Allied Communities on Social Media


Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models


Detecting Arbitrary Keypoints on Limbs and Skis with Sparse Partly Correct Segmentation Masks


Detecting Arbitrary Order Beneficial Feature Interactions for Recommender Systems


Detecting Attackable Sentences in Arguments


Detecting AutoEncoder is Enough to Catch LDM Generated Images


Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection


Detecting Backdoor Poisoning Attacks on Deep Neural Networks by Heatmap Clustering


Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency


Detecting Blurred Ground-based Sky/Cloud Images


Detecting Brain Tumors through Multimodal Neural Networks


Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers


Detecting Building Changes with Off-Nadir Aerial Images


Detecting COVID-19 and Community Acquired Pneumonia using Chest CT scan images with Deep Learning


Detecting Carbon Nanotube Orientation with Topological Data Analysis of Scanning Electron Micrographs


Detecting Changes in the Transmission Rate of a Stochastic Epidemic Model


Detecting Check-Worthy Claims in Political Debates, Speeches, and Interviews Using Audio Data


Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree


Detecting Cointegrating Relations in Non-stationary Matrix-Valued Time Series


Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model


Detecting Community Sensitive Norm Violations in Online Conversations


Detecting Concept Drift With Neural Network Model Uncertainty


Detecting Context-Aware Deviations in Process Executions


Detecting Conversational Mental Manipulation with Intent-Aware Prompting


Detecting Coordinated Inauthentic Behavior in Likes on Social Media: Proof of Concept


Detecting Core-Periphery Structure in Spatial Networks


Detecting Core-Periphery Structures by Surprise


Detecting Cross-Language Plagiarism using Open Knowledge Graphs


Detecting Curve Text in the Wild: New Dataset and New Solution


Detecting Daily Living Gait Amid Huntington's Disease Chorea using a Foundation Deep Learning Model


Detecting Damage Building Using Real-time Crowdsourced Images and Transfer Learning


Detecting Deepfakes with Metric Learning


Detecting Deepfakes with Self-Blended Images


Detecting Depegs: Towards Safer Passive Liquidity Provision on Curve Finance


Detecting Dependencies in Sparse, Multivariate Databases Using Probabilistic Programming and Non-parametric Bayes


Detecting Differences Between Correlation-Matrix Populations due to Single-variable Perturbations, with Application to Resting State fMRI


Detecting Distributional Differences in Labeled Sequence Data with Application to Tropical Cyclone Satellite Imagery


Detecting Domain-Generation Algorithm (DGA) Based Fully-Qualified Domain Names (FQDNs) with Shannon Entropy


Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark


Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases


Detecting Emerging Symptoms of COVID-19 using Context-based Twitter Embeddings


Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles


Detecting Errors in a Numerical Response via any Regression Model


Detecting Errors in a Quantum Network with Pauli Checks


Detecting Errors through Ensembling Prompts (DEEP): An End-to-End LLM Framework for Detecting Factual Errors


Detecting Euphemisms with Literal Descriptions and Visual Imagery


Detecting Everything in the Open World: Towards Universal Object Detection


Detecting Extreme Temperature Events Using Gaussian Mixture Models


Detecting Fair Queuing for Better Congestion Control


Detecting Fake News Spreaders in Social Networks using Inductive Representation Learning


Detecting Fake News on Social Media: A Novel Reliability Aware Machine-Crowd Hybrid Intelligence-Based Method


Detecting False Alarms from Automatic Static Analysis Tools: How Far are We?


Detecting False Data Injection Attacks in Smart Grids with Modeling Errors: A Deep Transfer Learning Based Approach


Detecting False Rumors from Retweet Dynamics on Social Media


Detecting Fast Neutrino Flavor Conversions with Machine Learning


Detecting Fast Radio Bursts with Spectral Structure using the Continuous Forward Algorithm


Detecting Financial Bots on the Ethereum Blockchain


Detecting Fine-Grained Cross-Lingual Semantic Divergences without Supervision by Learning to Rank


Detecting Fundamental Vector Fields with LISA


Detecting GAN-generated Images by Orthogonal Training of Multiple CNNs


Detecting Gang-Involved Escalation on Social Media Using Context


Detecting Generated Scientific Papers using an Ensemble of Transformer Models


Detecting Harmful Online Conversational Content towards LGBTQIA+ Individuals


Detecting Hate Speech in Multi-modal Memes


Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning


Detecting Hidden Triggers: Mapping Non-Markov Reward Functions to Markov


Detecting Homeomorphic 3-manifolds via Graph Neural Networks


Detecting Homoglyph Attacks with a Siamese Neural Network


Detecting Human Artifacts from Text-to-Image Models


Detecting Human-Object Contact in Images


Detecting Humans in RGB-D Data with CNNs


Detecting In-vehicle Intrusion via Semi-supervised Learning-based Convolutional Adversarial Autoencoders


Detecting Inactive Cyberwarriors from Online Forums


Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess


Detecting Insincere Questions from Text: A Transfer Learning Approach


Detecting Inspiring Content on Social Media


Detecting Instruction Fine-tuning Attack on Language Models with Influence Function


Detecting Irregular Network Activity with Adversarial Learning and Expert Feedback


Detecting Irregular Patterns in IoT Streaming Data for Fall Detection


Detecting Kissing Scenes in a Database of Hollywood Films


Detecting Korean Food Using Image using Hierarchical Model


Detecting LLM-Generated Short Answers and Effects on Learner Performance


Detecting Label Errors by using Pre-Trained Language Models


Detecting Lagrangian coherent structures from sparse and noisy trajectory data


Detecting Layout Templates in Complex Multiregion Files


Detecting Lesion Bounding Ellipses With Gaussian Proposal Networks


Detecting Lexical Borrowings from Dominant Languages in Multilingual Wordlists


Detecting Line Segments in Motion-blurred Images with Events


Detecting Lip-Syncing Deepfakes: Vision Temporal Transformer for Analyzing Mouth Inconsistencies


Detecting Localized Density Anomalies in Multivariate Data via Coin-Flip Statistics


Detecting Looted Archaeological Sites from Satellite Image Time Series


Detecting Low-Mass Perturbers in Cluster Lenses using Curved Arc Bases


Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy


Detecting Manipulated Contents Using Knowledge-Grounded Inference


Detecting Masquerade Attacks in Controller Area Networks Using Graph Machine Learning


Detecting Media Bias in News Articles using Gaussian Bias Distributions


Detecting Medical Misinformation on Social Media Using Multimodal Deep Learning


Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification


Detecting Metadata-Related Bugs in Enterprise Applications


Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model


Detecting Misuse of Security APIs: A Systematic Review


Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks


Detecting Multi-Oriented Text with Corner-based Region Proposals


Detecting Multi-Planetary Systems with Gravitational Microlensing and the Roman Space Telescope


Detecting Multidimensional Political Incivility on Social Media


Detecting Multimedia Generated by Large AI Models: A Survey


Detecting Multiple Random Changepoints in Bayesian Piecewise Growth Mixture Models


Detecting Multiple Replicating Signals using Adaptive Filtering Procedures


Detecting Multivariate Time Series Anomalies with Zero Known Label


Detecting Multiword Expression Type Helps Lexical Complexity Assessment


Detecting Music Performance Errors with Transformers


Detecting Narrative Elements in Informational Text


Detecting Network-based Internet Censorship via Latent Feature Representation Learning


Detecting OOD Samples via Optimal Transport Scoring Function


Detecting Object States vs Detecting Objects: A New Dataset and a Quantitative Experimental Study


Detecting Offensive Language in Tweets Using Deep Learning


Detecting Offensive Memes with Social Biases in Singapore Context Using Multimodal Large Language Models


Detecting Omissions in Geographic Maps through Computer Vision


Detecting Online Hate Speech Using Context Aware Models


Detecting Origin Attribution for Text-to-Image Diffusion Models


Detecting Out-of-Context Image-Caption Pairs in News: A Counter-Intuitive Method


Detecting Out-of-Distribution Examples with In-distribution Examples and Gram Matrices


Detecting Out-of-Distribution Through the Lens of Neural Collapse


Detecting Out-of-distribution Objects Using Neuron Activation Patterns


Detecting Outliers with Foreign Patch Interpolation


Detecting Outliers with Poisson Image Interpolation


Detecting Overlapping Communities from Local Spectral Subspaces


Detecting Oxbow Code in Erlang Codebases with the Highest Degree of Certainty


Detecting Patch Adversarial Attacks with Image Residuals


Detecting Perceived Emotions in Hurricane Disasters


Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings


Detecting Political Biases of Named Entities and Hashtags on Twitter


Detecting Potential Topics In News Using BERT, CRF and Wikipedia


Detecting Propaganda Techniques in Code-Switched Social Media Text


Detecting Propaganda Techniques in Memes


Detecting Propagators of Disinformation on Twitter Using Quantitative Discursive Analysis


Detecting Pulsars with Neural Networks: A Proof of Concept


Detecting Quishing Attacks with Machine Learning Techniques Through QR Code Analysis


Detecting Redundant CSS Rules in HTML5 Applications: A Tree-Rewriting Approach


Detecting Reference Errors in Scientific Literature with Large Language Models


Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection


Detecting Replay Attacks Using Multi-Channel Audio: A Neural Network-Based Method


Detecting Rewards Deterioration in Episodic Reinforcement Learning


Detecting Security Fixes in Open-Source Repositories using Static Code Analyzers


Detecting Security Patches via Behavioral Data in Code Repositories


Detecting Sexism in German Online Newspaper Comments with Open-Source Text Embeddings (Team GDA, GermEval2024 Shared Task 1: GerMS-Detect, Subtasks 1 and 2, Closed Track)


Detecting Sexual Content at the Sentence Level in First Millennium Latin Texts


Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays


Detecting Social Influence in Event Cascades by Comparing Discriminative Rankers


Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks


Detecting Sockpuppetry on Wikipedia Using Meta-Learning


Detecting Solar System Analogs through Joint Radial Velocity/Astrometric Surveys


Detecting Spatial Health Disparities Using Disease Maps


Detecting Speaker Personas from Conversational Texts


Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks


Detecting Stance in Media on Global Warming


Detecting Stance of Authorities towards Rumors in Arabic Tweets: A Preliminary Study


Detecting Statements in Text: A Domain-Agnostic Few-Shot Solution


Detecting Stereotypes and Anti-stereotypes the Correct Way Using Social Psychological Underpinnings


Detecting Suicide Risk in Online Counseling Services: A Study in a Low-Resource Language


Detecting Syllable-Level Pronunciation Stress with A Self-Attention Model


Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets


Detecting Syntactic Change Using a Neural Part-of-Speech Tagger


Detecting Temporal Ambiguity in Questions


Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations


Detecting Textual Adversarial Examples through Randomized Substitution and Vote


Detecting Toxicity in News Articles: Application to Bulgarian


Detecting Traffic Lights by Single Shot Detection


Detecting Training Data of Large Language Models via Expectation Maximization


Detecting Twenty-thousand Classes using Image-level Supervision


Detecting Unassimilated Borrowings in Spanish: An Annotated Corpus and Approaches to Modeling


Detecting Underspecification with Local Ensembles


Detecting Unknown Encrypted Malicious Traffic in Real Time via Flow Interaction Graph Analysis


Detecting Unspecified Structure in Low-Count Images


Detecting Unsuccessful Students in Cybersecurity Exercises in Two Different Learning Environments


Detecting User Exits from Online Behavior: A Duration-Dependent Latent State Model


Detecting Viruses in Contact Networks with Unreliable Detectors


Detecting Visual Relationships with Deep Relational Networks


Detecting Vulnerabilities in Encrypted Software Code while Ensuring Code Privacy


Detecting Vulnerable Nodes in Urban Infrastructure Interdependent Network


Detecting Weak Spectral Lines in Interferometric Data through Matched Filtering


Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks


Detecting Work Zones in SHRP 2 NDS Videos Using Deep Learning Based Computer Vision


Detecting Zones and Threat on 3D Body for Security in Airports using Deep Machine Learning


Detecting abnormal connectivity in schizophrenia via a joint directed acyclic graph estimation model


Detecting agreement in multi-party dialogue: evaluating speaker diarisation versus a procedural baseline to enhance user engagement


Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning


Detecting and Characterizing Bots that Commit Code


Detecting and Characterizing Extremist Reviewer Groups in Online Product Reviews


Detecting and Classifying Flares in High-Resolution Solar Spectra with Supervised Machine Learning


Detecting and Classifying Outliers in Big Functional Data


Detecting and Corrupting Convolution-based Unlearnable Examples


Detecting and Defending Against Adversarial Attacks on Automatic Speech Recognition via Diffusion Models


Detecting and Grounding Important Characters in Visual Stories


Detecting and Mapping Trees in Unstructured Environments with a Stereo Camera and Pseudo-Lidar


Detecting and Matching Related Objects with One Proposal Multiple Predictions


Detecting and Measuring Confounding Using Causal Mechanism Shifts


Detecting and Measuring Security Implications of Entangled Domain Verification in CDN


Detecting and Mitigating Hallucination in Large Vision Language Models via Fine-Grained AI Feedback


Detecting and Mitigating Hallucinations in Multilingual Summarisation


Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers


Detecting and Preventing Hallucinations in Large Vision Language Models


Detecting and Quantifying Wash Trading on Decentralized Cryptocurrency Exchanges


Detecting and Reducing Bias in a High Stakes Domain


Detecting and Refining HiRISE Image Patches Obscured by Atmospheric Dust


Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark


Detecting and Understanding Harmful Memes: A Survey


Detecting and Understanding Vulnerabilities in Language Models via Mechanistic Interpretability


Detecting and analysing spontaneous oral cancer speech in the wild


Detecting and classifying lesions in mammograms with Deep Learning


Detecting and diagnosing prior and likelihood sensitivity with power-scaling


Detecting and repairing arbitrage in traded option prices


Detecting anomalous citation groups in journal networks


Detecting anxiety from short clips of free-form speech


Detecting changes in covariance via random matrix theory


Detecting climate teleconnections with Granger causality


Detecting clinician implicit biases in diagnoses using proximal causal inference


Detecting coherent explorations in SQL workloads


Detecting covariate drift in text data using document embeddings and dimensionality reduction


Detecting danger in gridworlds using Gromov's Link Condition


Detecting dark matter around black holes with gravitational waves: Effects of dark-matter dynamics on the gravitational waveform


Detecting dark matter subhalos with the Nancy Grace Roman Space Telescope


Detecting data-driven robust statistical arbitrage strategies with deep neural networks


Detecting discrete processes with the Epps effect


Detecting disparities in police deployments using dashcam data


Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures


Detecting dynamic domains and local fluctuations in complex molecular systems via timelapse neighbors shuffling


Detecting early signs of depression in the conversational domain: The role of transfer learning in low-resource scenarios


Detecting exomoons from radial velocity measurements of self-luminous planets: application to observations of HR 7672 B and future prospects


Detecting frequency modulation in stochastic time series data


Detecting gravitational lenses using machine learning: exploring interpretability and sensitivity to rare lensing configurations


Detecting harassment and defamation in cyberbullying with emotion-adaptive training


Detecting hidden confounding in observational data using multiple environments


Detecting induced polarization effects in time-domain data: a modeling study using stretched exponentials


Detecting isolated stellar-mass black holes by the Roman telescope


Detecting linear trend changes in data sequences


Detecting mental disorder on social media: a ChatGPT-augmented explainable approach


Detecting mesoscale structures by surprise


Detecting message modification attacks on the CAN bus with Temporal Convolutional Networks


Detecting negative eigenvalues of exact and approximate Hessian matrices in optimization


Detecting non-binomial sex allocation when developmental mortality operates


Detecting non-overlapping signals with dynamic programming


Detecting organized eCommerce fraud using scalable categorical clustering


Detecting out-of-distribution text using topological features of transformer-based language models


Detecting possibly frequent change-points: Wild Binary Segmentation 2 and steepest-drop model selection


Detecting quantum entanglement with unsupervised learning


Detecting quantum phase transitions in a frustrated spin chain via transfer learning of a quantum classifier algorithm


Detecting quasi-periodic pulsations in solar and stellar flares with a neural network


Detecting respiratory motion artefacts for cardiovascular MRIs to ensure high-quality segmentation


Detecting soccer balls with reduced neural networks: a comparison of multiple architectures under constrained hardware scenarios


Detecting strongly-lensed type Ia supernovae with LSST


Detecting structural perturbations from time series with deep learning


Detecting structured sources in noisy images via Minkowski maps


Detecting temporal scaling with modified diffusion entropy analysis


Detecting the Clinical Features of Difficult-to-Treat Depression using Synthetic Data from Large Language Models


Detecting the Role of an Entity in Harmful Memes: Techniques and Their Limitations


Detecting the Root Cause Code Lines in Bug-Fixing Commits by Heterogeneous Graph Learning


Detecting the Starting Frame of Actions in Video


Detecting the Undetected: Overcoming Biases in Gravitational-Wave Population Studies


Detecting the dimensionality of genuine multi-particle entanglement


Detecting the open-world objects with the help of the Brain


Detecting tiny objects in aerial images: A normalized Wasserstein distance and a new benchmark


Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks


Detecting unresolved lensed SNe Ia in LSST using blended light curves


Detecting value-expressive text posts in Russian social media


Detecting weak signals by combining small P-values in genetic association studies


Detecting, Explaining, and Mitigating Memorization in Diffusion Models


Detecting, Tracking and Counting Motorcycle Rider Traffic Violations on Unconstrained Roads


Detection Accuracy for Evaluating Compositional Explanations of Units


Detection Limits and Statistical Separability of Tree Ring Watermarks in Rectified Flow-based Text-to-Image Generation Models


Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker


Detection and Classification of Diabetic Retinopathy using Deep Learning Algorithms for Segmentation to Facilitate Referral Recommendation for Test and Treatment Prediction


Detection and Defense of Unlearnable Examples


Detection and Localization of Melanoma Skin Cancer in Histopathological Whole Slide Images


Detection and Removal of B-mode Dust Foregrounds with Signatures of Statistical Anisotropy


Detection and Retrieval of Out-of-Distribution Objects in Semantic Segmentation


Detection and Tracking Meet Drones Challenge


Detection and Utilization of Reflections in LiDAR Scans Through Plane Optimization and Plane SLAM


Detection and classification of vocal productions in large scale audio recordings


Detection and inference of changes in high-dimensional linear regression with non-sparse structures


Detection and treatment of outliers for multivariate robust loss reserving


Detection of ADHD based on Eye Movements during Natural Viewing


Detection of Approaching Critical Transitions in Natural Systems Driven by Red Noise


Detection of Asymmetry in the Narrow Fe K$α$ Emission Line in MCG-5-23-16 with Chandra


Detection of Berezinskii-Kosterlitz-Thouless transition via Generative Adversarial Networks


Detection of Binary Square Fiducial Markers Using an Event Camera


Detection of Breast Cancer Lumpectomy Margin with SAM-incorporated Forward-Forward Contrastive Learning


Detection of E-scooter Riders in Naturalistic Scenes


Detection of Face Recognition Adversarial Attacks


Detection of Fake Generated Scientific Abstracts


Detection of Functional Communities in Networks of Randomly Coupled Oscillators Using the Dynamic-Mode Decomposition


Detection of Glottal Closure Instants using Deep Dilated Convolutional Neural Networks


Detection of Human and Machine-Authored Fake News in Urdu


Detection of Inferior Myocardial Infarction using Shallow Convolutional Neural Networks


Detection of Micromobility Vehicles in Urban Traffic Videos


Detection of Model-based Planted Pseudo-cliques in Random Dot Product Graphs by the Adjacency Spectral Embedding and the Graph Encoder Embedding


Detection of Non-recorded Word Senses in English and Swedish


Detection of Opioid Users from Reddit Posts via an Attention-based Bidirectional Recurrent Neural Network


Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques


Detection of REM Sleep Behaviour Disorder by Automated Polysomnography Analysis


Detection of Radio Emission from Super-flaring Solar-Type Stars in the VLA Sky Survey


Detection of Small Holes by the Scale-Invariant Robust Density-Aware Distance (RDAD) Filtration


Detection of Trending Topic Communities: Bridging Content Creators and Distributors


Detection of a high-redshift molecular outflow in a primeval hyperstarburst galaxy


Detection of an orthogonal alignment between parsec scale AGN jets and their host galaxies


Detection of anyon braiding through pump-probe spectroscopy


Detection of circular permutations by Protein Language Models


Detection of coupling in Duffing oscillator systems


Detection of depression on social networks using transformers and ensembles


Detection of diffusion anisotropy from an individual short particle trajectory


Detection of evolutionary shifts in variance under an Ornsten-Uhlenbeck model


Detection of extragalactic Ultra-Compact Dwarfs and Globular Clusters using Explainable AI techniques