DAMNETS: A Deep Autoregressive Model for Generating Markovian Network Time Series


DAMO-YOLO : A Report on Real-Time Object Detection Design


DAMO: Data- and Model-aware Alignment of Multi-modal LLMs


DAMOV: A New Methodology and Benchmark Suite for Evaluating Data Movement Bottlenecks


DAMP: Doubly Aligned Multilingual Parser for Task-Oriented Dialogue


DAMSL: Domain Agnostic Meta Score-based Learning


DAMamba: Vision State Space Model with Dynamic Adaptive Scan


DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism


DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction


DAN-SNR: A Deep Attentive Network for Social-Aware Next Point-of-Interest Recommendation


DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data


DANAA: Towards transferable attacks with double adversarial neuron attribution


DANCE: Dual-View Distribution Alignment for Dataset Condensation


DANCE: Enhancing saliency maps using decoys


DANES: Deep Neural Network Ensemble Architecture for Social and Textual Context-aware Fake News Detection


DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering


DANI: Fast Diffusion Aware Network Inference with Preserving Topological Structure Property


DANIEL: A Fast and Robust Consensus Maximization Method for Point Cloud Registration with High Outlier Ratios


DANIEL: A fast Document Attention Network for Information Extraction and Labelling of handwritten documents


DANLI: Deliberative Agent for Following Natural Language Instructions


DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation


DANets: Deep Abstract Networks for Tabular Data Classification and Regression


DAO Decentralization: Voting-Bloc Entropy, Bribery, and Dark DAOs


DAOC: Stable Clustering of Large Networks


DAOP: Data-Aware Offloading and Predictive Pre-Calculation for Efficient MoE Inference


DAOT: Domain-Agnostically Aligned Optimal Transport for Domain-Adaptive Crowd Counting


DAOcc: 3D Object Detection Assisted Multi-Sensor Fusion for 3D Occupancy Prediction


DAP: Diffusion-based Affordance Prediction for Multi-modality Storage


DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora


DAPPLE: A Pipelined Data Parallel Approach for Training Large Models


DAPnet: A Double Self-attention Convolutional Network for Point Cloud Semantic Labeling


DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion


DAQ: Density-Aware Post-Training Weight-Only Quantization For LLMs


DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus


DARA: Decomposition-Alignment-Reasoning Autonomous Language Agent for Question Answering over Knowledge Graphs


DARA: Domain- and Relation-aware Adapters Make Parameter-efficient Tuning for Visual Grounding


DARC: Distribution-Aware Re-Coloring Model for Generalizable Nucleus Segmentation


DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models


DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications


DARER: Dual-task Temporal Relational Recurrent Reasoning Network for Joint Dialog Sentiment Classification and Act Recognition


DARES: Depth Anything in Robotic Endoscopic Surgery with Self-supervised Vector-LoRA of the Foundation Model


DARF: A data-reduced FADE version for simulations of speech recognition thresholds with real hearing aids


DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning Graph


DARK: Denoising, Amplification, Restoration Kit


DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection


DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT Images


DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA


DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving


DART-Vetter: A Deep LeARning Tool for automatic triage of exoplanet candidates


DART: An Automated End-to-End Object Detection Pipeline with Data Diversification, Open-Vocabulary Bounding Box Annotation, Pseudo-Label Review, and Model Training


DART: Articulated Hand Model with Diverse Accessories and Rich Textures


DART: Differentiable Dynamic Adaptive Region Tokenizer for Vision Transformer and Mamba


DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks


DART: Noise Injection for Robust Imitation Learning


DARTH: Holistic Test-time Adaptation for Multiple Object Tracking


DARTS-: Robustly Stepping out of Performance Collapse Without Indicators


DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation


DARTS: Double Attention Reference-based Transformer for Super-resolution


DARWIN Series: Domain Specific Large Language Models for Natural Science


DARWIN: Survival of the Fittest Fuzzing Mutators


DAS-PINNs: A deep adaptive sampling method for solving high-dimensional partial differential equations


DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills


DAS: Densely-Anchored Sampling for Deep Metric Learning


DAS: Dynamic Adaptive Scheduling for Energy-Efficient Heterogeneous SoCs


DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based Localization


DASH: Detection and Assessment of Systematic Hallucinations of VLMs


DASH: Dynamic Attention-Based Substructure Hierarchy for Partial Charge Assignment


DASHA: Decentralized Autofocusing System with Hierarchical Agents


DASICS: Enhancing Memory Protection with Dynamic Compartmentalization


DASK: Distribution Rehearsing via Adaptive Style Kernel Learning for Exemplar-Free Lifelong Person Re-Identification


DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning


DASS: Differentiable Architecture Search for Sparse neural networks


DASS: Distilled Audio State Space Models Are Stronger and More Duration-Scalable Learners


DASVDD: Deep Autoencoding Support Vector Data Descriptor for Anomaly Detection


DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation


DAT: Dialogue-Aware Transformer with Modality-Group Fusion for Human Engagement Estimation


DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain


DATA: Decomposed Attention-based Task Adaptation for Rehearsal-Free Continual Learning


DATA: Domain-Aware and Task-Aware Self-supervised Learning


DATE: Detecting Anomalies in Text via Self-Supervision of Transformers


DATE: Dual Assignment for End-to-End Fully Convolutional Object Detection


DATED: Guidelines for Creating Synthetic Datasets for Engineering Design Applications


DATETIME: A new benchmark to measure LLM translation and reasoning capabilities


DATR: Unsupervised Domain Adaptive Detection Transformer with Dataset-Level Adaptation and Prototypical Alignment


DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control


DATTA: Domain-Adversarial Test-Time Adaptation for Cross-Domain WiFi-Based Human Activity Recognition


DATransNet: Dynamic Attention Transformer Network for Infrared Small Target Detection


DAVA: Disentangling Adversarial Variational Autoencoder


DAVE -- A Detect-and-Verify Paradigm for Low-Shot Counting


DAVE: Diagnostic benchmark for Audio Visual Evaluation


DAVINCI: A Single-Stage Architecture for Constrained CAD Sketch Inference


DAVIS-Ag: A Synthetic Plant Dataset for Prototyping Domain-Inspired Active Vision in Agricultural Robots


DAVSP: Safety Alignment for Large Vision-Language Models via Deep Aligned Visual Safety Prompt


DAWN JWST Archive: Morphology from profile fitting of over 340,000 galaxies in major fields


DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning


DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions


DAWN: Dynamic Frame Avatar with Non-autoregressive Diffusion Framework for Talking Head Video Generation


DAXA: Traversing the X-ray desert by Democratising Archival X-ray Astronomy


DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs


DAmodel: Hierarchical Bayesian Modelling of DA White Dwarfs for Spectrophotometric Calibration


DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects


DB-GPT-Hub: Towards Open Benchmarking Text-to-SQL Empowered by Large Language Models


DB-KSVD: Scalable Alternating Optimization for Disentangling High-Dimensional Embedding Spaces


DB-LSH: Locality-Sensitive Hashing with Query-based Dynamic Bucketing


DB-PAISA: Discovery-Based Privacy-Agile IoT Sensing+Actuation


DB-SAM: Delving into High Quality Universal Medical Image Segmentation


DBA-Fusion: Tightly Integrating Deep Dense Visual Bundle Adjustment with Multiple Sensors for Large-Scale Localization and Mapping


DBAT: Dynamic Backward Attention Transformer for Material Segmentation with Cross-Resolution Patches


DBConformer: Dual-Branch Convolutional Transformer for EEG Decoding


DBF-UNet: A Two-Stage Framework for Carotid Artery Segmentation with Pseudo-Label Generation


DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph


DBLPLink: An Entity Linker for the DBLP Scholarly Knowledge Graph


DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection


DBS: Dynamic Batch Size For Distributed Deep Neural Network Training


DBSCAN in domains with periodic boundary conditions


DBSP_DRP: A Python package for automated spectroscopic data reduction of DBSP data


DBSegment: Fast and robust segmentation of deep brain structures -- Evaluation of transportability across acquisition domains


DBT-Net: Dual-branch federative magnitude and phase estimation with attention-in-attention transformer for monaural speech enhancement


DBTagger: Multi-Task Learning for Keyword Mapping in NLIDBs Using Bi-Directional Recurrent Neural Networks


DBgDel: Database-Enhanced Gene Deletion Framework for Growth-Coupled Production in Genome-Scale Metabolic Models


DC Algorithm for Estimation of Sparse Gaussian Graphical Models


DC is all you need: describing ReLU from a signal processing standpoint


DC-BENCH: Dataset Condensation Benchmark


DC-Former: Diverse and Compact Transformer for Person Re-Identification


DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos


DC-Loc: Accurate Automotive Radar Based Metric Localization with Explicit Doppler Compensation


DC-Net: Divide-and-Conquer for Salient Object Detection


DC-SAM: In-Context Segment Anything in Images and Videos via Dual Consistency


DC-Scene: Data-Centric Learning for 3D Scene Understanding


DC-Seg: Disentangled Contrastive Learning for Brain Tumor Segmentation with Missing Modalities


DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network


DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation


DC-WCNN: A deep cascade of wavelet based convolutional neural networks for MR Image Reconstruction


DC-based Security Constraints Formulation: A Perspective of Primal-Dual Interior Point Method


DC-cycleGAN: Bidirectional CT-to-MR Synthesis from Unpaired Data


DC3 -- A Diagnostic Case Challenge Collection for Clinical Decision Support


DC3: A learning method for optimization with hard constraints


DC3DO: Diffusion Classifier for 3D Objects


DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models


DCA: Delayed Charging Attack on the Electric Shared Mobility System


DCA: Dividing and Conquering Amnesia in Incremental Object Detection


DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection


DCAP: Deep Cross Attentional Product Network for User Response Prediction


DCASENET: A joint pre-trained deep neural network for detecting and classifying acoustic scenes and events


DCAST: Diverse Class-Aware Self-Training Mitigates Selection Bias for Fairer Learning


DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization


DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine Domain


DCDet: Dynamic Cross-based 3D Object Detector


DCEvo: Discriminative Cross-Dimensional Evolutionary Learning for Infrared and Visible Image Fusion


DCFNet: Deep Neural Network with Decomposed Convolutional Filters


DCFace: Synthetic Face Generation with Dual Condition Diffusion Model


DCID: Deep Canonical Information Decomposition


DCIS: Efficient Length Extrapolation of LLMs via Divide-and-Conquer Scaling Factor Search


DCIts -- Deep Convolutional Interpreter for time series


DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation


DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis


DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning


DCNNV-19: A Deep Convolutional Neural Network for COVID-19 Detection in Chest Computed Tomographies


DCPT: Darkness Clue-Prompted Tracking in Nighttime UAVs


DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense Understanding


DCR-Consistency: Divide-Conquer-Reasoning for Consistency Evaluation and Improvement of Large Language Models


DCR: Quantifying Data Contamination in LLMs Evaluation


DCRA-Net: Attention-Enabled Reconstruction Model for Dynamic Fetal Cardiac MRI


DCRA: A Distributed Chiplet-based Reconfigurable Architecture for Irregular Applications


DCRM: A Heuristic to Measure Response Pair Quality in Preference Optimization


DCS Chain: A Flexible Private Blockchain System


DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation


DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting


DCSF: Deep Convolutional Set Functions for Classification of Asynchronous Time Series


DCSI -- An improved measure of cluster separability based on separation and connectedness


DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles


DCT-CryptoNets: Scaling Private Inference in the Frequency Domain


DCT-Former: Efficient Self-Attention with Discrete Cosine Transform


DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation


DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural Networks


DCT2net: an interpretable shallow CNN for image denoising


DCTdiff: Intriguing Properties of Image Generative Modeling in the DCT Space


DCVSMNet: Double Cost Volume Stereo Matching Network


DCcov: Repositioning of Drugs and Drug Combinations for SARS-CoV-2 Infected Lung through Constraint-Based Modelling


DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection


DCentNet: Decentralized Multistage Biomedical Signal Classification using Early Exits


DCoflow: Deadline-Aware Scheduling Algorithm for Coflows in Datacenter Networks


DD-GCN: Directed Diffusion Graph Convolutional Network for Skeleton-based Human Action Recognition


DD-RobustBench: An Adversarial Robustness Benchmark for Dataset Distillation


DDAM-PS: Diligent Domain Adaptive Mixer for Person Search


DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation


DDCSR: A Novel End-to-End Deep Learning Framework for Cortical Surface Reconstruction from Diffusion MRI


DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders


DDD: A Perceptually Superior Low-Response-Time DNN-based Declipper


DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion


DDDM: a Brain-Inspired Framework for Robust Classification


DDE-Find: Learning Delay Differential Equations from Noisy, Limited Data


DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient Flows


DDEvENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI


DDFAV: Remote Sensing Large Vision Language Models Dataset and Evaluation Benchmark


DDFP: Data-dependent Frequency Prompt for Source Free Domain Adaptation of Medical Image Segmentation


DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation


DDH-QA: A Dynamic Digital Humans Quality Assessment Database


DDI-CoCo: A Dataset For Understanding The Effect Of Color Contrast In Machine-Assisted Skin Disease Detection


DDKtor: Automatic Diadochokinetic Speech Analysis


DDLP: Unsupervised Object-Centric Video Prediction with Deep Dynamic Latent Particles


DDMI: Domain-Agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations


DDNAS: Discretized Differentiable Neural Architecture Search for Text Classification


DDNeRF: Depth Distribution Neural Radiance Fields


DDP: Diffusion Model for Dense Visual Prediction


DDPM-CD: Denoising Diffusion Probabilistic Models as Feature Extractors for Change Detection


DDPNAS: Efficient Neural Architecture Search via Dynamic Distribution Pruning


DDR: Exploiting Deep Degradation Response as Flexible Image Descriptor


DDRel: A New Dataset for Interpersonal Relation Classification in Dyadic Dialogues


DDS3D: Dense Pseudo-Labels with Dynamic Threshold for Semi-Supervised 3D Object Detection


DDSB: An Unsupervised and Training-free Method for Phase Detection in Echocardiography


DDSP-based Singing Vocoders: A New Subtractive-based Synthesizer and A Comprehensive Evaluation


DDT: Dual-branch Deformable Transformer for Image Denoising


DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation


DDaTR: Dynamic Difference-aware Temporal Residual Network for Longitudinal Radiology Report Generation


DDet: Dual-path Dynamic Enhancement Network for Real-World Image Super-Resolution


DDistill-SR: Reparameterized Dynamic Distillation Network for Lightweight Image Super-Resolution


DDoS-UNet: Incorporating temporal information using Dynamic Dual-channel UNet for enhancing super-resolution of dynamic MRI


DDoS: A Graph Neural Network based Drug Synergy Prediction Algorithm


DDxT: Deep Generative Transformer Models for Differential Diagnosis


DE-Net: Dynamic Text-guided Image Editing Adversarial Networks


DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention


DEAL: Disentangle and Localize Concept-level Explanations for VLMs


DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations


DEAN: Deactivating the Coupled Neurons to Mitigate Fairness-Privacy Conflicts in Large Language Models


DEANN: Speeding up Kernel-Density Estimation using Approximate Nearest Neighbor Search


DEAP Cache: Deep Eviction Admission and Prefetching for Cache


DEAR: Disentangled Environment and Agent Representations for Reinforcement Learning without Reconstruction


DEARLi: Decoupled Enhancement of Recognition and Localization for Semi-supervised Panoptic Segmentation


DEBATE: A Dataset for Disentangling Textual Ambiguity in Mandarin Through Speech


DEBATE: Devil's Advocate-Based Assessment and Text Evaluation


DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders


DECAF: Deep Extreme Classification with Label Features


DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks


DECAR: Deep Clustering for learning general-purpose Audio Representations


DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and Explanation


DECIFE: Detecting Collusive Users Involved in Blackmarket Following Services on Twitter


DECO: Dense Estimation of 3D Human-Scene Contact In The Wild


DECODE: Domain-aware Continual Domain Expansion for Motion Prediction


DECOMPL: Decompositional Learning with Attention Pooling for Group Activity Recognition from a Single Volleyball Image


DECOR-GAN: 3D Shape Detailization by Conditional Refinement


DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating Features


DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection


DECOR: Improving Coherence in L2 English Writing with a Novel Benchmark for Incoherence Detection, Reasoning, and Rewriting


DECT-based Space-Squeeze Method for Multi-Class Classification of Metastatic Lymph Nodes in Breast Cancer


DECWA : Density-Based Clustering using Wasserstein Distance


DECaNT: Simulation Tool for Diffusion of Excitons in Carbon Nanotube Films


DEDALO: Device for Enhanced Dust Analyses with Light Obscuration sensors


DEDPUL: Difference-of-Estimated-Densities-based Positive-Unlabeled Learning


DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data


DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception


DEEM: Dynamic Experienced Expert Modeling for Stance Detection


DEEP-BO for Hyperparameter Optimization of Deep Networks


DEEPAGÉ: Answering Questions in Portuguese about the Brazilian Environment


DEEPCHORUS: A Hybrid Model of Multi-scale Convolution and Self-attention for Chorus Detection


DEEPER Insight into Your User: Directed Persona Refinement for Dynamic Persona Modeling


DEER: Descriptive Knowledge Graph for Explaining Entity Relationships


DEF: Deep Estimation of Sharp Geometric Features in 3D Shapes


DEF: Diffusion-augmented Ensemble Forecasting


DEFAME: Dynamic Evidence-based FAct-checking with Multimodal Experts


DEFER: Distributed Edge Inference for Deep Neural Networks


DEFLOW: Self-supervised 3D Motion Estimation of Debris Flow


DEFM: Delay E mbedding based Forecast Machine for Time Series Forecasting by Spatiotemporal Information Transformation


DEFOM-Stereo: Depth Foundation Model Based Stereo Matching


DEFT-FUNNEL: an open-source global optimization solver for constrained grey-box and black-box problems


DEFT: Dexterous Fine-Tuning for Real-World Hand Policies


DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised $h$-transform


DEFT: Exploiting Gradient Norm Difference between Model Layers for Scalable Gradient Sparsification


DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph


DEGAS: Detailed Expressions on Full-Body Gaussian Avatars


DEGNN: Dual Experts Graph Neural Network Handling Both Edge and Node Feature Noise


DEGREE: A Data-Efficient Generation-Based Event Extraction Model


DEGREE: Decomposition Based Explanation For Graph Neural Networks


DEGSTalk: Decomposed Per-Embedding Gaussian Fields for Hair-Preserving Talking Face Synthesis


DEHB: Evolutionary Hyperband for Scalable, Robust and Efficient Hyperparameter Optimization


DEIMoS: an open-source tool for processing high-dimensional mass spectrometry data


DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards


DEKC: Data-Enable Control for Tethered Space Robot Deployment in the Presence of Uncertainty via Koopman Operator Theory


DEL-Dock: Molecular Docking-Enabled Modeling of DNA-Encoded Libraries


DELAN: Dual-Level Alignment for Vision-and-Language Navigation by Cross-Modal Contrastive Learning


DELAUNAY: a dataset of abstract art for psychophysical and machine learning research


DELE: Deductive $\mathcal{EL}^{++} \thinspace $ Embeddings for Knowledge Base Completion


DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds


DELIFT: Data Efficient Language model Instruction Fine Tuning


DELIGHT: Deep Learning Identification of Galaxy Hosts of Transients using Multi-resolution Images


DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection


DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling


DELRec: Distilling Sequential Pattern to Enhance LLMs-based Sequential Recommendation


DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation


DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks


DELTA: Decoupling Long-Tailed Online Continual Learning


DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation


DELTA: Dynamically Optimizing GPU Memory beyond Tensor Recomputation


DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse points


DELVE 6: An Ancient, Ultra-Faint Star Cluster on the Outskirts of the Magellanic Clouds


DEMC: A Deep Dual-Encoder Network for Denoising Monte Carlo Rendering


DEMETR: Diagnosing Evaluation Metrics for Translation


DEMI: Discriminative Estimator of Mutual Information


DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification


DEMO: BTLEmap: Nmap for Bluetooth Low Energy


DEMO: Reframing Dialogue Interaction with Fine-grained Element Modeling


DEMOTIC: A Differentiable Sampler for Multi-Level Digital Circuits


DENIAHL: In-Context Features Influence LLM Needle-In-A-Haystack Abilities


DENIS-SDN: Software-Defined Network Slicing Solution for Dense and Ultra-Dense IoT Networks


DENSE: Data-Free One-Shot Federated Learning


DENSER: 3D Gaussians Splatting for Scene Reconstruction of Dynamic Urban Environments


DENSER: Deep Evolutionary Network Structured Representation


DENT-DDSP: Data-efficient noisy speech generator using differentiable digital signal processors for explicit distortion modelling and noise-robust speech recognition


DEPARA: Deep Attribution Graph for Deep Knowledge Transferability


DEPLAIN: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification


DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models


DEPTH: Discourse Education through Pre-Training Hierarchically


DEPTHOR: Depth Enhancement from a Practical Light-Weight dToF Sensor and RGB Image


DEPTWEET: A Typology for Social Media Texts to Detect Depression Severities


DEQ-MPI: A Deep Equilibrium Reconstruction with Learned Consistency for Magnetic Particle Imaging


DER: Dynamically Expandable Representation for Class Incremental Learning


DERGMs: Degeneracy-restricted exponential random graph models


DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs


DESI DR2 Results II: Measurements of Baryon Acoustic Oscillations and Cosmological Constraints


DESIRE-ME: Domain-Enhanced Supervised Information REtrieval using Mixture-of-Experts


DESK: A Robotic Activity Dataset for Dexterous Surgical Skills Transfer to Medical Robots


DESPOT: Online POMDP Planning with Regularization


DESTEIN: Navigating Detoxification of Language Models via Universal Steering Pairs and Head-wise Activation Fusion


DESYR: Definition and Syntactic Representation Based Claim Detection on the Web


DET-LSH: A Locality-Sensitive Hashing Scheme with Dynamic Encoding Tree for Approximate Nearest Neighbor Search


DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning


DETRPose: Real-time end-to-end transformer model for multi-person pose estimation


DETReg: Unsupervised Pretraining with Region Priors for Object Detection


DEUP: Direct Epistemic Uncertainty Prediction


DEVI: Open-source Human-Robot Interface for Interactive Receptionist Systems


DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection


DEVIAS: Learning Disentangled Video Representations of Action and Scene


DEX Specs: A Mean Field Approach to DeFi Currency Exchanges


DEX-TTS: Diffusion-based EXpressive Text-to-Speech with Style Modeling on Time Variability


DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators


DEXTER: A Benchmark for open-domain Complex Question Answering using LLMs


DEYO: DETR with YOLO for End-to-End Object Detection


DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection


DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation


DEff-GAN: Diverse Attribute Transfer for Few-Shot Image Synthesis


DEnsity: Open-domain Dialogue Evaluation Metric using Density Estimation


DEsignBench: Exploring and Benchmarking DALL-E 3 for Imagining Visual Design


DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts


DExter: Learning and Controlling Performance Expression with Diffusion Models


DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs


DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency


DF-SCA: Dynamic Frequency Side Channel Attacks are Practical


DF-SLAM: Dictionary Factors Representation for High-Fidelity Neural Implicit Dense Visual SLAM System


DF40: Toward Next-Generation Deepfake Detection


DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning


DFAMiner: Mining minimal separating DFAs from labelled samples


DFB: A Data-Free, Low-Budget, and High-Efficacy Clean-Label Backdoor Attack


DFEE: Interactive DataFlow Execution and Evaluation Kit


DFEN: Dual Feature Equalization Network for Medical Image Segmentation


DFEPT: Data Flow Embedding for Enhancing Pre-Trained Model Based Vulnerability Detection


DFG-NAS: Deep and Flexible Graph Neural Architecture Search


DFGC 2022: The Second DeepFake Game Competition


DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues


DFIMat: Decoupled Flexible Interactive Matting in Multi-Person Scenarios


DFL: High-Performance Blockchain-Based Federated Learning


DFM-X: Augmentation by Leveraging Prior Knowledge of Shortcut Learning


DFM: A Performance Baseline for Deep Feature Matching


DFNet: Enhance Absolute Pose Regression with Direct Feature Matching


DFORMPY: A Python Library for visualising and zooming on differential forms


DFPE: A Diverse Fingerprint Ensemble for Enhancing LLM Performance


DFPENet-geology: A Deep Learning Framework for High Precision Recognition and Segmentation of Co-seismic Landslides


DFPN: Deformable Frame Prediction Network


DFR: Depth from Rotation by Uncalibrated Image Rectification with Latitudinal Motion Assumption


DFT2kp: effective kp models from ab-initio data


DFT: A Dual-branch Framework of Fluctuation and Trend for Stock Price Prediction


DFTS2: Simulating Deep Feature Transmission Over Packet Loss Channels


DFU: scale-robust diffusion model for zero-shot super-resolution image generation


DFVO: Learning Darkness-free Visible and Infrared Image Disentanglement and Fusion All at Once


DFW-PP: Dynamic Feature Weighting based Popularity Prediction for Social Media Content


DFWLayer: Differentiable Frank-Wolfe Optimization Layer


DFormer: Diffusion-guided Transformer for Universal Image Segmentation


DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion


DG Comics: Semi-Automatically Authoring Graph Comics for Dynamic Graphs


DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models


DG-TTA: Out-of-domain Medical Image Segmentation through Augmentation and Descriptor-driven Domain Generalization and Test-Time Adaptation


DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks


DGAP: Efficient Dynamic Graph Analysis on Persistent Memory


DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D Matching


DGCLUSTER: A Neural Framework for Attributed Graph Clustering via Modularity Maximization


DGCN: Diversified Recommendation with Graph Convolutional Networks


DGD-cGAN: A Dual Generator for Image Dewatering and Restoration


DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction


DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing


DGEMM on Integer Matrix Multiplication Unit


DGIQA: Depth-guided Feature Attention and Refinement for Generalizable Image Quality Assessment


DGL-GAN: Discriminator Guided Learning for GAN Compression


DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval


DGM-DR: Domain Generalization with Mutual Information Regularized Diabetic Retinopathy Classification


DGMIL: Distribution Guided Multiple Instance Learning for Whole Slide Image Classification


DGNN-Booster: A Generic FPGA Accelerator Framework For Dynamic Graph Neural Network Inference


DGNN: A Neural PDE Solver Induced by Discontinuous Galerkin Methods


DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations


DGORL: Distributed Graph Optimization based Relative Localization of Multi-Robot Systems


DGP-LVM: Derivative Gaussian process latent variable models


DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization


DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models


DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification


DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation


DGS-SLAM: Gaussian Splatting SLAM in Dynamic Environment


DGSVis: Visual Analysis of Hierarchical Snapshots in Dynamic Graph


DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration


DGTN: Dual-channel Graph Transition Network for Session-based Recommendation


DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling


DGoT: Dynamic Graph of Thoughts for Scientific Abstract Generation


DH-AUG: DH Forward Kinematics Model Driven Augmentation for 3D Human Pose Estimation


DH-PTAM: A Deep Hybrid Stereo Events-Frames Parallel Tracking And Mapping System


DH-TRNG: A Dynamic Hybrid TRNG with Ultra-High Throughput and Area-Energy Efficiency


DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DoF Relocalization


DHBE: Data-free Holistic Backdoor Erasing in Deep Neural Networks via Restricted Adversarial Distillation


DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image Segmentation


DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning


DHLP 1&2: Giraph based distributed label propagation algorithms on heterogeneous drug-related networks


DHP-Mapping: A Dense Panoptic Mapping System with Hierarchical World Representation and Label Optimization Techniques


DHP: Differentiable Meta Pruning via HyperNetworks


DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation


DHRL-FNMR: An Intelligent Multicast Routing Approach Based on Deep Hierarchical Reinforcement Learning in SDN


DHRNet: A Dual-Path Hierarchical Relation Network for Multi-Person Pose Estimation


DI-Fusion: Online Implicit 3D Reconstruction with Deep Priors


DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection


DI2: prior-free and multi-item discretization ofbiomedical data and its applications


DIAG-NRE: A Neural Pattern Diagnosis Framework for Distantly Supervised Neural Relation Extraction


DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models


DIAL: Deep Interactive and Active Learning for Semantic Segmentation in Remote Sensing


DIALECT, a software package for exciton spectra and dynamics in large molecular assemblies from weak to strong light-matter coupling regimes


DIALECTBENCH: A NLP Benchmark for Dialects, Varieties, and Closely-Related Languages


DIALIGHT: Lightweight Multilingual Development and Evaluation of Task-Oriented Dialogue Systems with Large Language Models


DIALITE: Discover, Align and Integrate Open Data Tables


DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization


DIALOG-22 RuATD Generated Text Detection


DIAMBRA Arena: a New Reinforcement Learning Platform for Research and Experimentation


DIANet: Dense-and-Implicit Attention Network


DIC2Abaqus: Calculating mixed-mode stress intensity factors from 2D and 3D-stereo displacement fields


DICE: Automatic Emulation of DMA Input Channels for Dynamic Firmware Analysis


DICE: Device-level Integrated Circuits Encoder with Graph Contrastive Pretraining


DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks


DICES Dataset: Diversity in Conversational AI Evaluation for Safety


DICODerma: A practical approach for metadata management of images in dermatology


DICP: Doppler Iterative Closest Point Algorithm


DICTION:DynamIC robusT whIte bOx watermarkiNg scheme for deep neural networks


DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection


DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation


DIDO: Deep Inertial Quadrotor Dynamical Odometry


DIEKAE: Difference Injection for Efficient Knowledge Augmentation and Editing of Large Language Models


DIF Analysis with Unknown Groups and Anchor Items


DIFER: Differentiable Automated Feature Engineering


DIFF: Dual Side-Information Filtering and Fusion for Sequential Recommendation


DIFFER: Disentangling Identity Features via Semantic Cues for Clothes-Changing Person Re-ID


DIFFPY.MPDF: Open-source software for magnetic pair distribution function analysis


DIFFVSGG: Diffusion-Driven Online Video Scene Graph Generation


DIFR3CT: Latent Diffusion for Probabilistic 3D CT Reconstruction from Few Planar X-Rays


DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization


DIG-FACE: De-biased Learning for Generalized Facial Expression Category Discovery


DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee


DIG: Draping Implicit Garment over the Human Body


DIGAT: Modeling News Recommendation with Dual-Graph Interaction


DIGEST: Fast and Communication Efficient Decentralized Learning with Local Updates


DIGRAC: Digraph Clustering Based on Flow Imbalance


DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation


DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling


DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models


DIME: An Online Tool for the Visual Comparison of Cross-Modal Retrieval Models


DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations


DIMES: A Differentiable Meta Solver for Combinatorial Optimization Problems


DIMS: Distributed Index for Similarity Search in Metric Spaces


DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction


DINAMO: Dynamic and INterpretable Anomaly MOnitoring for Large-Scale Particle Physics Experiments


DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference


DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization


DINO in the Room: Leveraging 2D Foundation Models for 3D Segmentation


DINO-Mix: Enhancing Visual Place Recognition with Foundational Vision Model and Feature Mixing


DINO: A Conditional Energy-Based GAN for Domain Translation


DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises


DINOv2 Rocks Geological Image Analysis: Classification, Segmentation, and Interpretability


DINet: Deformation Inpainting Network for Realistic Face Visually Dubbing on High Resolution Video


DINs: Deep Interactive Networks for Neurofibroma Segmentation in Neurofibromatosis Type 1 on Whole-Body MRI


DIOT: Detecting Implicit Obstacles from Trajectories


DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow


DIP: Unsupervised Dense In-Context Post-training of Visual Representations


DIPN: Deep Interaction Prediction Network with Application to Clutter Removal


DIPPAS: A Deep Image Prior PRNU Anonymization Scheme


DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction


DIPol-UF: simultaneous three-color ($BVR$) polarimeter with EM CCDs


DIRA: Dynamic Domain Incremental Regularised Adaptation


DIRAS: Efficient LLM Annotation of Document Relevance in Retrieval Augmented Generation


DIRE for Diffusion-Generated Image Detection


DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data


DIRECT: A Differential Dynamic Programming Based Framework for Trajectory Generation


DIRV: Dense Interaction Region Voting for End-to-End Human-Object Interaction Detection


DIS-CO: Discovering Copyrighted Content in VLMs Training Data


DISA: DIfferentiable Similarity Approximation for Universal Multimodal Registration


DISARM++: Beyond scanner-free harmonization


DISARM: Detecting the Victims Targeted by Harmful Memes


DISC-LawLLM: Fine-tuning Large Language Models for Intelligent Legal Services


DISC-MedLLM: Bridging General Large Language Models and Real-World Medical Consultation


DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers


DISCO Might Not Be Funky: Random Intelligent Reflective Surface Configurations That Attack


DISCO-DJ I: a differentiable Einstein-Boltzmann solver for cosmology


DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation


DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction in Indo-European Languages


DISCO: Adversarial Defense with Local Implicit Functions


DISCO: Comprehensive and Explainable Disinformation Detection


DISCO: Distilling Counterfactuals with Large Language Models


DISCO: Double Likelihood-free Inference Stochastic Control


DISCO: Embodied Navigation and Interaction via Differentiable Scene Semantics and Dual-level Control


DISCO: accurate Discrete Scale Convolutions


DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction


DISCOVER: A Data-driven Interactive System for Comprehensive Observation, Visualization, and ExploRation of Human Behaviour


DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning


DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents


DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation


DISCo: Deep learning, Instance Segmentation, and Correlations for cell segmentation in calcium imaging


DISGAN: Wavelet-informed Discriminator Guides GAN to MRI Super-resolution with Noise Cleaning


DISH: A Distributed Hybrid Primal-Dual Optimization Framework to Utilize System Heterogeneity


DISIR: Deep Image Segmentation with Interactive Refinement


DISK: Learning local features with policy gradient


DISP-LLM: Dimension-Independent Structural Pruning for Large Language Models


DISP6D: Disentangled Implicit Shape and Pose Learning for Scalable 6D Pose Estimation


DISROPT: a Python Framework for Distributed Optimization


DISSECT-CF: a simulator to foster energy-aware scheduling in infrastructure clouds


DISSECT: Disentangled Simultaneous Explanations via Concept Traversals


DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing


DISTA-Net: Dynamic Closely-Spaced Infrared Small Target Unmixing


DISTFLASHATTN: Distributed Memory-efficient Attention for Long-context LLMs Training


DISTINGUISH Workflow: A New Paradigm of Dynamic Well Placement Using Generative Machine Learning


DITING: A Static Analyzer for Identifying Bad Partitioning Issues in TEE Applications


DITTO: Demonstration Imitation by Trajectory Transformation


DITTO: Dual and Integrated Latent Topologies for Implicit 3D Reconstruction


DIVA-DAF: A Deep Learning Framework for Historical Document Image Analysis


DIVA: Domain Invariant Variational Autoencoders


DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders


DIVE: Diversified Iterative Self-Improvement


DIVE: Towards Descriptive and Diverse Visual Commonsense Generation


DIVI: Dynamically Interactive Visualization


DIVINE: Diverse Influential Training Points for Data Visualization and Model Refinement


DIVOTrack: A Novel Dataset and Baseline Method for Cross-View Multi-Object Tracking in DIVerse Open Scenes


DIY-IPS: Towards an Off-the-Shelf Accurate Indoor Positioning System


DJCM: A Deep Joint Cascade Model for Singing Voice Separation and Vocal Pitch Estimation


DKAF: KB Arbitration for Learning Task-Oriented Dialog Systems with Dialog-KB Inconsistencies


DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuning


DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture


DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction


DKINet: Medication Recommendation via Domain Knowledge Informed Deep Learning


DKM: Dense Kernelized Feature Matching for Geometry Estimation


DKiS: Decay weight invertible image steganography with private key


DL-Polycube: Deep learning enhanced polycube method for high-quality hexahedral mesh generation and volumetric spline construction


DL-Reg: A Deep Learning Regularization Technique using Linear Regression


DL2: A Deep Learning-driven Scheduler for Deep Learning Clusters


DL4DS -- Deep Learning for empirical DownScaling


DLA-Net: Learning Dual Local Attention Features for Semantic Segmentation of Large-Scale Building Facade Point Clouds


DLAMA: A Framework for Curating Culturally Diverse Facts for Probing the Knowledge of Pretrained Language Models


DLAP: A Deep Learning Augmented Large Language Model Prompting Framework for Software Vulnerability Detection


DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set


DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy


DLBacktrace: A Model Agnostic Explainability for any Deep Learning Models


DLCR: A Generative Data Expansion Framework via Diffusion for Clothes-Changing Person Re-ID


DLCRec: A Novel Approach for Managing Diversity in LLM-Based Recommender Systems


DLDNN: Deterministic Lateral Displacement Design Automation by Neural Networks


DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis


DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction


DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation


DLFuzz: Differential Fuzzing Testing of Deep Learning Systems


DLGAN: Disentangling Label-Specific Fine-Grained Features for Image Manipulation


DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems


DLL: A Blazing Fast Deep Neural Network Library


DLL: Direct LIDAR Localization. A map-based localization approach for aerial robots


DLME: Deep Local-flatness Manifold Embedding


DLOW: Domain Flow for Adaptation and Generalization


DLP-LoRA: Efficient Task-Specific LoRA Fusion with a Dynamic, Lightweight Plugin for Large Language Models


DLP: Dynamic Layerwise Pruning in Large Language Models


DLPFS: The Data Leakage Prevention FileSystem


DLPO: Towards a Robust, Efficient, and Generalizable Prompt Optimization Framework from a Deep-Learning Perspective


DLScanner: A parameter space scanner package assisted by deep learning methods


DLT: Conditioned layout generation with Joint Discrete-Continuous Diffusion Layout Transformer


DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images


DLTPy: Deep Learning Type Inference of Python Function Signatures using Natural Language Context


DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images


DLUNet: Semi-supervised Learning based Dual-Light UNet for Multi-organ Segmentation


DL_POLY 5: Calculation of system properties on the fly for very large systems via massive parallelism


DL_POLY Quantum 2.1 software: A suite of real-time path integral methods for the simulation of dynamical properties and vibrational spectra


DLaVA: Document Language and Vision Assistant for Answer Localization with Enhanced Interpretability and Trustworthiness


DLiPath: A Benchmark for the Comprehensive Assessment of Donor Liver Based on Histopathological Image Dataset


DLow: Diversifying Latent Flows for Diverse Human Motion Prediction


DM-Align: Leveraging the Power of Natural Language Instructions to Make Changes to Images


DM-Codec: Distilling Multimodal Representations for Speech Tokenization


DM-VIO: Delayed Marginalization Visual-Inertial Odometry


DM-power: an algorithm for high precision dispersion measure with application to fast radio bursts


DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body


DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors


DMCNet: Diversified Model Combination Network for Understanding Engagement from Video Screengrabs


DMCP: Differentiable Markov Channel Pruning for Neural Networks


DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction


DMDC: Dynamic-mask-based dual camera design for snapshot Hyperspectral Imaging


DMF-TONN: Direct Mesh-free Topology Optimization using Neural Networks


DMFTwDFT: An open-source code combining Dynamical Mean Field Theory with various Density Functional Theory packages


DMFourLLIE: Dual-Stage and Multi-Branch Fourier Network for Low-Light Image Enhancement


DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks


DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation


DMM: Building a Versatile Image Generation Model via Distillation-Based Model Merging


DMM: Disparity-guided Multispectral Mamba for Oriented Object Detection in Remote Sensing


DMNER: Biomedical Entity Recognition by Detection and Matching


DMON: A Simple yet Effective Approach for Argument Structure Learning


DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models


DMRF-UNet: A Two-Stage Deep Learning Scheme for GPR Data Inversion under Heterogeneous Soil Conditions


DMRG-CASPT2 study of the longitudinal static second hyperpolarizability of all-trans polyenes


DMSA -- Dense Multi Scan Adjustment for LiDAR Inertial Odometry and Global Optimization


DMSSN: Distilled Mixed Spectral-Spatial Network for Hyperspectral Salient Object Detection


DMT-HI: MOE-based Hyperbolic Interpretable Deep Manifold Transformation for Unspervised Dimensionality Reduction


DMT-JEPA: Discriminative Masked Targets for Joint-Embedding Predictive Architecture


DMTG: One-Shot Differentiable Multi-Task Grouping


DMin: Scalable Training Data Influence Estimation for Diffusion Models


DMoERM: Recipes of Mixture-of-Experts for Effective Reward Modeling


DN-4DGS: Denoised Deformable Network with Temporal-Spatial Aggregation for Dynamic Scene Rendering


DNA Language Model and Interpretable Graph Neural Network Identify Genes and Pathways Involved in Rare Diseases


DNA Origami Nanostructures Observed in Transmission Electron Microscopy Images can be Characterized through Convolutional Neural Networks


DNA Sequence Classification with Compressors


DNA-GCN: Graph convolutional networks for predicting DNA-protein binding


DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text


DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering


DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation


DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection


DNA: Proximal Policy Optimization with a Dual Network Architecture


DNAHLM -- DNA sequence and Human Language mixed large language Model


DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models


DNAZEN: Enhanced Gene Sequence Representations via Mixed Granularities of Coding Units


DNB-AI-Project at SemEval-2025 Task 5: An LLM-Ensemble Approach for Automated Subject Indexing


DNF-Avatar: Distilling Neural Fields for Real-time Animatable Avatar Relighting


DNF-Net: a Deep Normal Filtering Network for Mesh Denoising


DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space


DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization


DNLSAT: A Dynamic Variable Ordering MCSAT Framework for Nonlinear Real Arithmetic


DNN Architecture for High Performance Prediction on Natural Videos Loses Submodule's Ability to Learn Discrete-World Dataset


DNN Feature Map Compression using Learned Representation over GF(2)


DNN based HRIRs Identification with a Continuously Rotating Speaker Array


DNN gradient lossless compression: Can GenNorm be the answer?


DNN-Based Topology Optimisation: Spatial Invariance and Neural Tangent Kernel


DNN-DANM: A High-Accuracy Two-Dimensional DOA Estimation Method Using Practical RIS


DNNLasso: Scalable Graph Learning for Matrix-Variate Data


DNNShifter: An Efficient DNN Pruning System for Edge Computing


DNNSurv: Deep Neural Networks for Survival Analysis Using Pseudo Values


DNNV: A Framework for Deep Neural Network Verification


DNS Privacy with Speed? Evaluating DNS over QUIC and its Impact on Web Performance


DNS: Determinantal Point Process Based Neural Network Sampler for Ensemble Reinforcement Learning


DO-Conv: Depthwise Over-parameterized Convolutional Layer


DOA Estimation with Non-Uniform Linear Arrays: A Phase-Difference Projection Approach


DOBF: A Deobfuscation Pre-Training Objective for Programming Languages


DOC: Improving Long Story Coherence With Detailed Outline Control


DOCBENCH: A Benchmark for Evaluating LLM-based Document Reading Systems


DOCE: Finding the Sweet Spot for Execution-Based Code Generation


DOCKSTRING: easy molecular docking yields better benchmarks for ligand design


DOCTOR: A Simple Method for Detecting Misclassification Errors


DOCTOR: Dynamic On-Chip Temporal Variation Remediation Toward Self-Corrected Photonic Tensor Accelerators


DOCTR: Disentangled Object-Centric Transformer for Point Scene Understanding


DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation


DODA: Diffusion for Object-detection Domain Adaptation in Agriculture


DOEI: Dual Optimization of Embedding Information for Attention-Enhanced Class Activation Maps


DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus


DOGe: Defensive Output Generation for LLM Protection Against Knowledge Distillation


DOLCE: Decomposing Off-Policy Evaluation/Learning into Lagged and Current Effects


DOLDA - a regularized supervised topic model for high-dimensional multi-class regression


DOLPHINS: Dataset for Collaborative Perception enabled Harmonious and Interconnected Self-driving


DOM-Q-NET: Grounded RL on Structured Language


DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation


DOMINO: A Dual-System for Multi-step Visual Language Reasoning


DON-LSTM: Multi-Resolution Learning with DeepONets and Long Short-Term Memory Neural Networks


DONeRF: Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks


DOOBNet: Deep Object Occlusion Boundary Detection from an Image


DOOR-SLAM: Distributed, Online, and Outlier Resilient SLAM for Robotic Teams


DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning


DORA: Exploring Outlier Representations in Deep Neural Networks


DORE: Document Ordered Relation Extraction based on Generative Framework


DORO: Distributional and Outlier Robust Optimization


DOROTHIE: Spoken Dialogue for Handling Unexpected Situations in Interactive Autonomous Driving Agents


DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking


DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs


DORi: Discovering Object Relationship for Moment Localization of a Natural-Language Query in Video


DOS: Diverse Outlier Sampling for Out-of-Distribution Detection


DOSE : Drum One-Shot Extraction from Music Mixture


DOT: A flexible multi-objective optimization framework for transferring features across single-cell and spatial omics


DOTIE -- Detecting Objects through Temporal Isolation of Events using a Spiking Architecture


DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search


DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution


DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators


DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction)


DP-BART for Privatized Text Rewriting under Local Differential Privacy


DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum


DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-cell Clustering


DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference


DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass


DP-GAN: Diversity-Promoting Generative Adversarial Network for Generating Informative and Diversified Text


DP-GEN: A concurrent learning platform for the generation of reliable deep learning based potential energy models


DP-HLS: A High-Level Synthesis Framework for Accelerating Dynamic Programming Algorithms in Bioinformatics


DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the Wild


DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM


DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning


DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models


DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation


DP-MLM: Differentially Private Text Rewriting Using Masked Language Models


DP-NeRF: Deblurred Neural Radiance Field with Physical Scene Priors


DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer


DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-Tuning


DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated Industries


DP-RuL: Differentially-Private Rule Learning for Clinical Decision Support Systems


DP-SGD Without Clipping: The Lipschitz Neural Network Way


DP-SGD vs PATE: Which Has Less Disparate Impact on Model Accuracy?


DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning


DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language Models


DPAN: Dynamic Preference-based and Attribute-aware Network for Relevant Recommendations


DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection


DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy


DPASF: A Flink Library for Streaming Data preprocessing


DPC-Net: Deep Pose Correction for Visual Localization


DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models


DPC: Unsupervised Deep Point Correspondence via Cross and Self Construction


DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement


DPCSpell: A Transformer-based Detector-Purificator-Corrector Framework for Spelling Error Correction of Bangla and Resource Scarce Indic Languages


DPD-fVAE: Synthetic Data Generation Using Federated Variational Autoencoders With Differentially-Private Decoder


DPE: Disentanglement of Pose and Expression for General Video Portrait Editing


DPEC: Dual-Path Error Compensation Method for Enhanced Low-Light Image Clarity


DPER: Efficient Parameter Estimation for Randomly Missing Data


DPF-Net: Physical Imaging Model Embedded Data-Driven Underwater Image Enhancement


DPF: Learning Dense Prediction Fields with Weak Supervision


DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection


DPGN: Distribution Propagation Graph Network for Few-shot Learning


DPHGNN: A Dual Perspective Hypergraph Neural Networks


DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming


DPICT: Deep Progressive Image Compression Using Trit-Planes


DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis


DPLib: A Standard Benchmark Library for Distributed Power System Analysis and Optimization


DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport


DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics


DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation


DPM: Clustering Sensitive Data through Separation


DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning


DPMLBench: Holistic Evaluation of Differentially Private Machine Learning


DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh Recovery


DPN-SENet:A self-attention mechanism neural network for detection and diagnosis of COVID-19 from chest x-ray images


DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems


DPNNet-2.0 Part I: Finding hidden planets from simulated images of protoplanetary disk gaps


DPO Meets PPO: Reinforced Token Optimization for RLHF


DPO-Shift: Shifting the Distribution of Direct Preference Optimization


DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection


DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models


DPPA: Pruning Method for Large Language Model to Model Merging


DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data


DPS: Design Pattern Summarisation Using Code Features


DPSOM: Deep Probabilistic Clustering with Self-Organizing Maps


DPSS-based Codebook Design for Near-Field XL-MIMO Channel Estimation


DPST: De Novo Peptide Sequencing with Amino-Acid-Aware Transformers


DPStyler: Dynamic PromptStyler for Source-Free Domain Generalization


DPT: Deformable Patch-based Transformer for Visual Recognition


DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer


DPTraj-PM: Differentially Private Trajectory Synthesis Using Prefix Tree and Markov Process


DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection


DPZero: Private Fine-Tuning of Language Models without Backpropagation


DPack: Efficiency-Oriented Privacy Budget Scheduling


DPconv: Super-Polynomially Faster Join Ordering


DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing


DPmoire: A tool for constructing accurate machine learning force fields in moiré systems


DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy


DPoser: Diffusion Model as Robust 3D Human Pose Prior


DProQ: A Gated-Graph Transformer for Protein Complex Structure Assessment


DProST: Dynamic Projective Spatial Transformer Network for 6D Pose Estimation


DProvDB: Differentially Private Query Processing with Multi-Analyst Provenance


DQ-DETR: Dual Query Detection Transformer for Phrase Extraction and Grounding


DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning


DQN Control Solution for KDD Cup 2021 City Brain Challenge


DQNC2S: DQN-based Cross-stream Crisis event Summarizer


DQO-MAP: Dual Quadrics Multi-Object mapping with Gaussian Splatting


DQRM: Deep Quantized Recommendation Models


DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection


DR Loss: Improving Object Detection by Distributional Ranking


DR-GAN: Distribution Regularization for Text-to-Image Generation


DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction


DR-Pose: A Two-stage Deformation-and-Registration Pipeline for Category-level 6D Object Pose Estimation


DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty


DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data


DR-TANet: Dynamic Receptive Temporal Attention Network for Street Scene Change Detection


DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration


DR-Unet104 for Multimodal MRI brain tumor segmentation


DR-VIDAL -- Doubly Robust Variational Information-theoretic Deep Adversarial Learning for Counterfactual Prediction and Treatment Effect Estimation on Real World Data


DR-VNet: Retinal Vessel Segmentation via Dense Residual UNet


DR.CPO: Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion


DR.FIX: Automatically Fixing Data Races at Industry Scale


DR.VIC: Decomposition and Reasoning for Video Individual Counting


DR2-Net: Deep Residual Reconstruction Network for Image Compressive Sensing


DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration


DRA-GRPO: Exploring Diversity-Aware Reward Adjustment for R1-Zero-Like Training of Large Language Models


DRACO: Byzantine-resilient Distributed Training via Redundant Gradients


DRACO: Weakly Supervised Dense Reconstruction And Canonicalization of Objects


DRACo-SLAM: Distributed Robust Acoustic Communication-efficient SLAM for Imaging Sonar Equipped Underwater Robot Teams


DRAFT-ing Architectural Design Decisions using LLMs


DRAFT: Dense Retrieval Augmented Few-shot Topic classifier Framework


DRAFTS: A Deep Learning-Based Radio Fast Transient Search Pipeline


DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection


DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language Models


DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding


DRAGON: Determining Regulatory Associations using Graphical models on multi-Omic Networks


DRAGged into Conflicts: Detecting and Addressing Conflicting Sources in Search-Augmented LLMs


DRAGyS -- A comprehensive tool to extract scattering phase functions in protoplanetary disks


DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving


DRAMScope: Uncovering DRAM Microarchitecture and Characteristics by Issuing Memory Commands


DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation


DRASIC: Distributed Recurrent Autoencoder for Scalable Image Compression


DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework


DRAWNAPART: A Device Identification Technique based on Remote GPU Fingerprinting


DRCT: Saving Image Super-resolution away from Information Bottleneck


DREAM: Diffusion Rectification and Estimation-Adaptive Models


DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models


DREAM: Drafting with Refined Target Features and Entropy-Adaptive Cross-Attention Fusion for Multimodal Speculative Decoding


DREB-Net: Dual-stream Restoration Embedding Blur-feature Fusion Network for High-mobility UAV Object Detection


DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction


DREQ: Document Re-Ranking Using Entity-based Query Understanding


DRESS: Diffusion Reasoning-based Reward Shaping Scheme For Intelligent Networks


DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks


DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing


DREW : Towards Robust Data Provenance by Leveraging Error-Controlled Watermarking


DREditor: An Time-efficient Approach for Building a Domain-specific Dense Retrieval Model


DRExplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network


DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting


DRG-LLaMA : Tuning LLaMA Model to Predict Diagnosis-related Group for Hospitalized Patients


DRG: Dual Relation Graph for Human-Object Interaction Detection


DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks


DRIBO: Robust Deep Reinforcement Learning via Multi-View Information Bottleneck


DRIFT open dataset: A drone-derived intelligence for traffic analysis in urban environmen


DRIFT: Dynamic Rule-Based Defense with Injection Isolation for Securing LLM Agents


DRILL: Dynamic Representations for Imbalanced Lifelong Learning


DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data


DRIMET: Deep Registration for 3D Incompressible Motion Estimation in Tagged-MRI with Application to the Tongue


DRIN: Dynamic Relation Interactive Network for Multimodal Entity Linking


DRIP: Deep Regularizers for Inverse Problems


DRIVE: A Digital Network Oracle for Cooperative Intelligent Transportation Systems


DRIVE: Data-driven Robot Input Vector Exploration


DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation


DRIVE: Dockerfile Rule Mining and Violation Detection


DRIVE: One-bit Distributed Mean Estimation


DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge Computing


DRL-Based Medium-Term Planning of Renewable-Integrated Self-Scheduling Cascaded Hydropower to Guide Wholesale Market Participation


DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV


DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV


DRL-Based Trajectory Tracking for Motion-Related Modules in Autonomous Driving


DRL-M4MR: An Intelligent Multicast Routing Approach Based on DQN Deep Reinforcement Learning in SDN


DRL-based Energy-Efficient Baseband Function Deployments for Service-Oriented Open RAN


DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services


DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction


DRLComplex: Reconstruction of protein quaternary structures using deep reinforcement learning


DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning


DRMC: A Generalist Model with Dynamic Routing for Multi-Center PET Image Synthesis


DRMIME: Differentiable Mutual Information and Matrix Exponential for Multi-Resolution Image Registration


DRO: A Python Library for Distributionally Robust Optimization in Machine Learning


DRO: Deep Recurrent Optimizer for Video to Depth


DRO: Doppler-Aware Direct Radar Odometry


DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Cameras


DROID-Splat: Combining end-to-end SLAM with 3D Gaussian Splatting


DROJ: A Prompt-Driven Attack against Large Language Models


DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identification


DROP: Dimensionality Reduction Optimization for Time Series


DROP: Poison Dilution via Knowledge Distillation for Federated Learning


DROPO: Sim-to-Real Transfer with Offline Domain Randomization


DRR4Covid: Learning Automated COVID-19 Infection Segmentation from Digitally Reconstructed Radiographs


DRRNet: Macro-Micro Feature Fusion and Dual Reverse Refinement for Camouflaged Object Detection


DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs


DRS: Deep Question Reformulation With Structured Output


DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness


DRT-o1: Optimized Deep Reasoning Translation via Long Chain-of-Thought


DRT: A Lightweight Single Image Deraining Recursive Transformer


DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation


DReg-NeRF: Deep Registration for Neural Radiance Fields


DRew: Dynamically Rewired Message Passing with Delay


DRiLLS: Deep Reinforcement Learning for Logic Synthesis


DRiVE: Diffusion-based Rigging Empowers Generation of Versatile and Expressive Characters


DS$^2$-ABSA: Dual-Stream Data Synthesis with Label Refinement for Few-Shot Aspect-Based Sentiment Analysis


DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning


DS-Bench: A Realistic Benchmark for Data Science Code Generation


DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume


DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion


DS-K3DOM: 3-D Dynamic Occupancy Mapping with Kernel Inference and Dempster-Shafer Evidential Theory


DS-MLR: Exploiting Double Separability for Scaling up Distributed Multinomial Logistic Regression


DS-Net: Dynamic Spatiotemporal Network for Video Salient Object Detection


DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing


DS-TDNN: Dual-stream Time-delay Neural Network with Global-aware Filter for Speaker Verification


DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentation


DS6, Deformation-aware Semi-supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data


DS@GT at CheckThat! 2025: Detecting Subjectivity via Transfer-Learning and Corrective Data Augmentation


DS@GT at CheckThat! 2025: Ensemble Methods for Detection of Scientific Discourse on Social Media


DS@GT at CheckThat! 2025: Evaluating Context and Tokenization Strategies for Numerical Fact Verification


DS@GT eRisk 2024: Sentence Transformers for Social Media Risk Assessment


DSAF: A Dual-Stage Adaptive Framework for Numerical Weather Prediction Downscaling


DSAG: A mixed synchronous-asynchronous iterative method for straggler-resilient learning


DSAP: Analyzing Bias Through Demographic Comparison of Datasets


DSBI: Double-Sided Braille Image Dataset and Algorithm Evaluation for Braille Dots Detection


DSBench: How Far Are Data Science Agents to Becoming Data Science Experts?


DSBplot: Indels in DNA Double-strand Break Repair Experiments


DSC IIT-ISM at SemEval-2020 Task 6: Boosting BERT with Dependencies for Definition Extraction


DSC IIT-ISM at SemEval-2020 Task 8: Bi-Fusion Techniques for Deep Meme Emotion Analysis


DSCA: A Dual-Stream Network with Cross-Attention on Whole-Slide Image Pyramids for Cancer Prognosis


DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification


DSD$^2$: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?


DSDL: Data Set Description Language for Bridging Modalities and Tasks in AI Data


DSE Stock Price Prediction using Hidden Markov Model


DSEC: A Stereo Event Camera Dataset for Driving Scenarios


DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models


DSF-GAN: DownStream Feedback Generative Adversarial Network


DSFFNet: Dual-Side Feature Fusion Network for 3D Pose Transfer


DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment


DSFNet: Dual-GCN and Location-fused Self-attention with Weighted Fast Normalized Fusion for Polyps Segmentation


DSG-KD: Knowledge Distillation from Domain-Specific to General Language Models


DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation


DSG: An End-to-End Document Structure Generator


DSGBench: A Diverse Strategic Game Benchmark for Evaluating LLM-based Agents in Complex Decision-Making Environments


DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm


DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation


DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors


DSGN: Deep Stereo Geometry Network for 3D Object Detection


DSGram: Dynamic Weighting Sub-Metrics for Grammatical Error Correction in the Era of Large Language Models


DSHGT: Dual-Supervisors Heterogeneous Graph Transformer -- A pioneer study of using heterogeneous graph learning for detecting software vulnerabilities


DSI2I: Dense Style for Unpaired Image-to-Image Translation


DSKG: A Deep Sequential Model for Knowledge Graph Completion


DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN


DSL-Assembly: A Robust and Safe Assembly Strategy


DSLA: Dynamic smooth label assignment for efficient anchor-free object detection


DSLO: Deep Sequence LiDAR Odometry Based on Inconsistent Spatio-temporal Propagation


DSLR: Diversity Enhancement and Structure Learning for Rehearsal-based Graph Continual Learning


DSLR: Dynamic to Static LiDAR Scan Reconstruction Using Adversarially Trained Autoencoder


DSLib: An open source library for the dominant set clustering method


DSME-LoRa: Seamless Long Range Communication Between Arbitrary Nodes in the Constrained IoT


DSMix: Distortion-Induced Sensitivity Map Based Pre-training for No-Reference Image Quality Assessment


DSNet: A Novel Way to Use Atrous Convolutions in Semantic Segmentation


DSOL: A Fast Direct Sparse Odometry Scheme


DSOR: A Scalable Statistical Filter for Removing Falling Snow from LiDAR Point Clouds in Severe Winter Weather


DSP-SLAM: Object Oriented SLAM with Deep Shape Priors


DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation


DSPNet: Dual-vision Scene Perception for Robust 3D Question Answering


DSPS: Differentiable Stellar Population Synthesis


DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion


DSQSS: Discrete Space Quantum Systems Solver


DSR -- A dual subspace re-projection network for surface anomaly detection


DSR-Bench: Evaluating the Structural Reasoning Abilities of LLMs via Data Structures


DSR: Direct Self-rectification for Uncalibrated Dual-lens Cameras


DSR: Direct Simultaneous Registration for Multiple 3D Images


DSR: Towards Drone Image Super-Resolution


DSRC: Learning Density-insensitive and Semantic-aware Collaborative Representation against Corruptions


DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization


DSSL: Deep Surroundings-person Separation Learning for Text-based Person Retrieval


DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series Analysis


DST-Det: Simple Dynamic Self-Training for Open-Vocabulary Object Detection


DST: Deformable Speech Transformer for Emotion Recognition


DSTI at LLMs4OL 2024 Task A: Intrinsic versus extrinsic knowledge for type classification


DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling


DSU-Net:An Improved U-Net Model Based on DINOv2 and SAM2 with Multi-scale Cross-model Feature Enhancement


DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection


DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions


DS_FusionNet: Dynamic Dual-Stream Fusion with Bidirectional Knowledge Distillation for Plant Disease Recognition


DSig: Breaking the Barrier of Signatures in Data Centers


DStruct2Design: Data and Benchmarks for Data Structure Driven Generative Floor Plan Design


DT-LSD: Deformable Transformer-based Line Segment Detection


DTA: Dual Temporal-channel-wise Attention for Spiking Neural Networks


DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data


DTBS: Dual-Teacher Bi-directional Self-training for Domain Adaptation in Nighttime Semantic Segmentation


DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map Construction


DTELS: Towards Dynamic Granularity of Timeline Summarization


DTF: Deep Tensor Factorization for Predicting Anticancer Drug Synergy


DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification


DTG : Diffusion-based Trajectory Generation for Mapless Global Navigation


DTGB: A Comprehensive Benchmark for Dynamic Text-Attributed Graphs


DTGBrepGen: A Novel B-rep Generative Model through Decoupling Topology and Geometry


DTIAM: A unified framework for predicting drug-target interactions, binding affinities and activation/inhibition mechanisms


DTMT: A Novel Deep Transition Architecture for Neural Machine Translation


DTN7: An Open-Source Disruption-tolerant Networking Implementation of Bundle Protocol 7


DTOR: Decision Tree Outlier Regressor to explain anomalies


DTP-Net: Learning to Reconstruct EEG signals in Time-Frequency Domain by Multi-scale Feature Reuse


DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving


DTR-Bench: An in silico Environment and Benchmark Platform for Reinforcement Learning Based Dynamic Treatment Regime


DTT: An Example-Driven Tabular Transformer for Joinability by Leveraging Large Language Models


DTU-Net: Learning Topological Similarity for Curvilinear Structure Segmentation


DTW-Merge: A Novel Data Augmentation Technique for Time Series Classification


DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising


DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer


DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms


DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken Question Answering


DUAL: Diversity and Uncertainty Active Learning for Text Summarization


DUB: Discrete Unit Back-translation for Speech Translation


DUCK: Distance-based Unlearning via Centroid Kinematics


DUDF: Differentiable Unsigned Distance Fields with Hyperbolic Scaling


DUE: A Deep Learning Framework and Library for Modeling Unknown Equations


DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation


DUEF-GA: Data Utility and Privacy Evaluation Framework for Graph Anonymization


DUET: 2D Structured and Approximately Equivariant Representations


DUET: A Tuning-Free Device-Cloud Collaborative Parameters Generation Framework for Efficient Device Model Generalization


DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting


DUET: Optimizing Training Data Mixtures via Feedback from Unseen Evaluation Tasks


DUETS: A Dataset of Reproducible Pairs ofJava Library-Clients


DUFOMap: Efficient Dynamic Awareness Mapping


DUKweb: Diachronic word representations from the UK Web Archive corpus


DUMB: A Benchmark for Smart Evaluation of Dutch Models


DUMP: Automated Distribution-Level Curriculum Learning for RL-based LLM Post-training


DUNE: A Machine Learning Deep UNet++ based Ensemble Approach to Monthly, Seasonal and Annual Climate Forecasting


DUNEuro -- A software toolbox for forward modeling in bioelectromagnetism


DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense


DUPLEX: Dual GAT for Complex Embedding of Directed Graphs


DUPRE: Data Utility Prediction for Efficient Data Valuation


DUQGen: Effective Unsupervised Domain Adaptation of Neural Rankers by Diversifying Synthetic Query Generation


DUTH at SemEval-2020 Task 11: BERT with Entity Mapping for Propaganda Classification


DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation


DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation


DV3+HED+: A DCNNs-based Framework to Monitor Temporary Works and ESAs in Railway Construction Project Using VHR Satellite Images


DVANet: Disentangling View and Action Features for Multi-View Action Recognition


DVD-Quant: Data-free Video Diffusion Transformers Quantization


DVD: A Diagnostic Dataset for Multi-step Reasoning in Video Grounded Dialogue


DVDnet: A Fast Network for Deep Video Denoising


DVI: Depth Guided Video Inpainting for Autonomous Driving


DVIS-DAQ: Improving Video Segmentation via Dynamic Anchor Queries


DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-Directional Structure Alignment


DVMNet++: Rethinking Relative Pose Estimation for Unseen Objects


DVMSR: Distillated Vision Mamba for Efficient Super-Resolution


DVOLVER: Efficient Pareto-Optimal Neural Network Architecture Search


DVPE: Divided View Position Embedding for Multi-View 3D Object Detection


DVPT: Dynamic Visual Prompt Tuning of Large Pre-trained Models for Medical Image Analysis


DVQA: Understanding Data Visualizations via Question Answering


DVR: Micro-Video Recommendation Optimizing Watch-Time-Gain under Duration Bias


DVRP-MHSI: Dynamic Visualization Research Platform for Multimodal Human-Swarm Interaction


DVS-Attacks: Adversarial Attacks on Dynamic Vision Sensors for Spiking Neural Networks


DW-GAN: A Discrete Wavelet Transform GAN for NonHomogeneous Dehazing


DWCL: Dual-Weighted Contrastive Learning for Multi-View Clustering


DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring


DWE+: Dual-Way Matching Enhanced Framework for Multimodal Entity Linking


DWFS-Obfuscation: Dynamic Weighted Feature Selection for Robust Malware Familial Classification under Obfuscation


DWFormer: Dynamic Window transFormer for Speech Emotion Recognition


DWReCO at CheckThat! 2023: Enhancing Subjectivity Detection through Style-based Data Sampling


DX100: A Programmable Data Access Accelerator for Indirection


DXAI: Explaining Classification by Image Decomposition


DYAD: A Descriptive Yet Abjuring Density efficient approximation to linear neural network layers


DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization


DYMAG: Rethinking Message Passing Using Dynamical-systems-based Waveforms


DYMOND: DYnamic MOtif-NoDes Network Generative Model


DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models


DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networks


DYST (Did You See That?): An Amplified Covert Channel That Points To Previously Seen Data


DYffCast: Regional Precipitation Nowcasting Using IMERG Satellite Data. A case study over South America


DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting


DaCapo: Accelerating Continuous Learning in Autonomous Systems for Video Analytics


DaCapo: a modular deep learning framework for scalable 3D image segmentation


DaD: Distilled Reinforcement Learning for Diverse Keypoint Detection


DaDe: Delay-adaptive Detector for Streaming Perception


DaDiff: Domain-aware Diffusion Model for Nighttime UAV Tracking


DaDu-Corki: Algorithm-Architecture Co-Design for Embodied AI-powered Robotic Manipulation


DaFoEs: Mixing Datasets towards the generalization of vision-state deep-learning Force Estimation in Minimally Invasive Robotic Surgery


DaLPSR: Leverage Degradation-Aligned Language Prompt for Real-World Image Super-Resolution


DaN+: Danish Nested Named Entities and Lexical Normalization


DaRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation


DaXBench: Benchmarking Deformable Object Manipulation with Differentiable Physics


DadaGP: A Dataset of Tokenized GuitarPro Songs for Sequence Models


Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples


DafnyBench: A Benchmark for Formal Software Verification


Daft-Exprt: Cross-Speaker Prosody Transfer on Any Text for Expressive Speech Synthesis


DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modularized data simulation


Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery


DagoBERT: Generating Derivational Morphology with a Pretrained Language Model


DaiMoN: A Decentralized Artificial Intelligence Model Network


Daily Forecasting of New Cases for Regional Epidemics of Coronavirus Disease 2019 with Bayesian Uncertainty Quantification


Daily-Omni: Towards Audio-Visual Reasoning with Temporal Alignment across Modalities


DailyMAE: Towards Pretraining Masked Autoencoders in One Day


Dala: A Simple Capability-Based Dynamic Language Design For Data Race-Freedom


Dam reservoir extraction from remote sensing imagery using tailored metric learning strategies


Damage Identification in Fiber Metal Laminates using Bayesian Analysis with Model Order Reduction


Damage and recovery of flagella in soil bacteria exposed to shear within long microchannels


Damped Lyman-alpha Absorbers from Sloan Digital Sky Survey DR16Q with Gaussian processes


Dampening parameter distributional shifts under robust control and gain scheduling


DanZero+: Dominating the GuanDan Game through Reinforcement Learning


Dance of SNN and ANN: Solving binding problem by combining spike timing and reconstructive attention


Dance with Flow: Two-in-One Stream Action Detection


Dance with You: The Diversity Controllable Dancer Generation via Diffusion Models


Dance-to-Music Generation with Encoder-based Textual Inversion


Dance2MIDI: Dance-driven multi-instruments music generation


Dance2Music: Automatic Dance-driven Music Generation


DanceCam: atmospheric turbulence mitigation in wide-field astronomical images with short-exposure video streams


DanceCamAnimator: Keyframe-Based Controllable 3D Dance Camera Synthesis


DanceCamera3D: 3D Camera Movement Synthesis with Music and Dance


DanceIt: Music-inspired Dancing Video Synthesis


DanceQ: High-performance library for number-conserving bases


Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models


Dancing in the Dark: Private Multi-Party Machine Learning in an Untrusted Setting


Dancing in the dark: detecting a population of distant primordial black holes


Dancing to the Partisan Beat: A First Analysis of Political Communication on TikTok


Dandelion++: Lightweight Cryptocurrency Networking with Formal Anonymity Guarantees


Dandelion: Certified Approximations of Elementary Functions


Danish Fungi 2020 -- Not Just Another Image Recognition Dataset


Dank or Not? -- Analyzing and Predicting the Popularity of Memes on Reddit


DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and Understanding


DapStep: Deep Assignee Prediction for Stack Trace Error rePresentation


DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices


DarSIA: An open-source Python toolbox for two-scale image processing of dynamics in porous media


Dareplane: A modular open-source software platform for BCI research with application in closed-loop deep brain stimulation


DarijaBanking: A New Resource for Overcoming Language Barriers in Banking Intent Detection for Moroccan Arabic Speakers


Dark Energy Survey Year 6 Results: Point-spread Function Modeling


Dark Matter Effects on Stellar Populations in Globular Clusters


Dark Matter Induced Nucleon Decay Signals in Mesogenesis


Dark Matter Microhalos in the Solar Neighborhood: Pulsar Timing Signatures of Early Matter Domination


Dark Matter Model or Mass, but Not Both: Assessing Near-Future Direct Searches with Benchmark-free Forecasting


Dark Matter-induced electron excitations in silicon and germanium with Deep Learning


Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites


Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning


Dark dust II: Properties in the general field of the diffuse ISM


Dark fluxes from electromagnetic cascades


Dark matter in the Higgs resonance region


Dark matter scattering in astrophysical media: collective effects


Dark matter search with CMB: a study of foregrounds


Dark patterns in e-commerce: a dataset and its baseline evaluations


Dark sector domain walls could explain the observed planes of satellites


DarkDeblur: Learning single-shot image deblurring in low-light condition


DarkFed: A Data-Free Backdoor Attack in Federated Learning


DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark


DarkHorse: A UDP-based Framework to Improve the Latency of Tor Onion Services


DarkIR: Robust Low-Light Image Restoration


DarkLighter: Light Up the Darkness for UAV Tracking


DarkMatters: A powerful tool for WIMPy analysis


DarkMix: Mixture Models for the Detection and Characterization of Dark Matter Halos


DarkNews: a Python-based event generator for heavy neutral lepton production in neutrino-nucleus scattering


DarkSAM: Fooling Segment Anything Model to Segment Nothing


DarkVisionNet: Low-Light Imaging via RGB-NIR Fusion with Deep Inconsistency Prior


Darker than Black-Box: Face Reconstruction from Similarity Queries


Darkit: A User-Friendly Software Toolkit for Spiking Large Language Model


Darkness Visible: N-Body Simulations of Dark Matter Spikes in Hernquist Haloes


DarpanX: A Python Package for Modeling X-ray Reflectivity of Multilayer Mirrors


DarsakX: A Python Package for Designing and Analyzing Imaging Performance of X-ray Telescopes


DarthShader: Fuzzing WebGPU Shader Translators & Compilers


Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents


DarwinLM: Evolutionary Structured Pruning of Large Language Models


DasAtom: A Divide-and-Shuttle Atom Approach to Quantum Circuit Transformation


Dash: Accelerating Distributed Private Convolutional Neural Network Inference with Arithmetic Garbled Circuits


Dash: Scalable Hashing on Persistent Memory


DashQL -- Complete Analysis Workflows with SQL


Dashing for the Golden Snitch: Multi-Drone Time-Optimal Motion Planning with Multi-Agent Reinforcement Learning


DatAasee -- A Metadata-Lake as Metadata Catalog for a Virtual Data-Lake


DatUS^2: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision Transformer


Data Acquisition for Improving Machine Learning Models


Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models


Data Agnostic RoBERTa-based Natural Language to SQL Query Generation


Data Analytics Approach to Predict High-Temperature Cyclic Oxidation Kinetics of NiCr-based Alloys


Data Analytics Driven Controlling: bridging statistical modeling and managerial intuition


Data Assimilation With An Integral-Form Ensemble Square-Root Filter


Data Assimilation for a Geological Process Model Using the Ensemble Kalman Filter


Data Assimilation in Chaotic Systems Using Deep Reinforcement Learning


Data Assimilation in Large-Prandtl Rayleigh-Bénard Convection from Thermal Measurements


Data Assimilation using ERA5, ASOS, and the U-STN model for Weather Forecasting over the UK


Data Attribution for Diffusion Models: Timestep-induced Bias in Influence Estimation


Data Attribution for Text-to-Image Models by Unlearning Synthesized Images


Data Augmentation Alone Can Improve Adversarial Training


Data Augmentation Approaches in Natural Language Processing: A Survey


Data Augmentation MCMC for Bayesian Inference from Privatized Data


Data Augmentation Through Monte Carlo Arithmetic Leads to More Generalizable Classification in Connectomics


Data Augmentation Using Many-To-Many RNNs for Session-Aware Recommender Systems


Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning


Data Augmentation and Regularization for Learning Group Equivariance


Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation


Data Augmentation for Abstractive Query-Focused Multi-Document Summarization


Data Augmentation for Biomedical Factoid Question Answering


Data Augmentation for Code Translation with Comparable Corpora and Multiple References


Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome


Data Augmentation for Cross-Domain Named Entity Recognition


Data Augmentation for Deep Graph Learning: A Survey


Data Augmentation for Dementia Detection in Spoken Language


Data Augmentation for Electrocardiograms


Data Augmentation for Emotion Detection in Small Imbalanced Text Data


Data Augmentation for Environmental Sound Classification Using Diffusion Probabilistic Model with Top-k Selection Discriminator


Data Augmentation for Generating Synthetic Electrogastrogram Time Series


Data Augmentation for Graph Neural Networks


Data Augmentation for Hypernymy Detection


Data Augmentation for Instrument Classification Robust to Audio Effects


Data Augmentation for Intent Classification with Off-the-shelf Large Language Models


Data Augmentation for Low-Resource Keyphrase Generation


Data Augmentation for Object Detection via Differentiable Neural Rendering


Data Augmentation for Robust Character Detection in Fantasy Novels


Data Augmentation for Scene Text Recognition


Data Augmentation for Sequential Recommendation: A Survey


Data Augmentation for Skin Lesion Analysis


Data Augmentation for Supervised Graph Outlier Detection via Latent Diffusion Models


Data Augmentation for Surgical Scene Segmentation with Anatomy-Aware Diffusion Models


Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder


Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment Analysis


Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success


Data Augmentation of Room Classifiers using Generative Adversarial Networks


Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks


Data Augmentation on Graphs: A Technical Survey


Data Augmentation through Expert-guided Symmetry Detection to Improve Performance in Offline Reinforcement Learning


Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection


Data Augmentation using Pre-trained Transformer Models


Data Augmentation using Random Image Cropping and Patching for Deep CNNs


Data Augmentation via Dependency Tree Morphing for Low-Resource Languages


Data Augmentation via Latent Diffusion for Saliency Prediction


Data Augmentation with Atomic Templates for Spoken Language Understanding


Data Augmentation with Variational Autoencoder for Imbalanced Dataset


Data Augmentation with Variational Autoencoders and Manifold Sampling


Data Augmentation with norm-VAE for Unsupervised Domain Adaptation


Data Augmentation-free Unsupervised Learning for 3D Point Cloud Understanding


Data Augmented 3D Semantic Scene Completion with 2D Segmentation Priors


Data Augmenting Contrastive Learning of Speech Representations in the Time Domain


Data Availability and Decentralization: New Techniques for zk-Rollups in Layer 2 Blockchain Networks


Data Banzhaf: A Robust Data Valuation Framework for Machine Learning


Data Bias According to Bipol: Men are Naturally Right and It is the Role of Women to Follow Their Lead


Data Centric Domain Adaptation for Historical Text with OCR Errors


Data Checklist: On Unit-Testing Datasets with Usable Information


Data Cleaning and Machine Learning: A Systematic Literature Review


Data Cleansing for Models Trained with SGD


Data Cleansing with Contrastive Learning for Vocal Note Event Annotations


Data Collection and Analysis of French Dialects


Data Combination: Interferometry and Single-dish Imaging in Radio Astronomy


Data Complexity: A New Perspective for Analyzing the Difficulty of Defect Prediction Tasks


Data Compression and Inference in Cosmology with Self-Supervised Machine Learning


Data Compression for Fast Online Stochastic Optimization


Data Consistency Approach to Model Validation


Data Consistent Deep Rigid MRI Motion Correction


Data Contamination Calibration for Black-box LLMs


Data Contamination Can Cross Language Barriers


Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models


Data Contamination Through the Lens of Time