Representation Learning

Denoising Autoregressive Representation Learning ICML 2024 Denoising Point Clouds in Latent Space via Graph Convolution and Invertible Neural Network CVPR 2024 DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning AAAI 2024 De novo Protein Design Using Geometric Vector Field Networks ICLR 2024 Dense Associative Memory Through the Lens of Random Features NeurIPS 2024 Dense Hand-Object(HO) GraspNet with Full Grasping Taxonomy and Dynamics ECCV 2024 Dense Optical Tracking: Connecting the Dots CVPR 2024 Dense Projection for Anomaly Detection AAAI 2024 Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval NeurIPS 2024 Dependency Structure-Enhanced Graph Attention Networks for Event Detection AAAI 2024 DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations AAAI 2024 Derivative-enhanced Deep Operator Network NeurIPS 2024 Deriving Entity-Specific Embeddings from Multi-Entity Sequences COLING 2024 Desiderata for Representation Learning: A Causal Perspective JMLR 2024 DET: A Dual-Encoding Transformer for Relational Graph Embedding COLING 2024 Detect Everything with Few Examples CoRL 2024 Detecting Machine-Generated Long-Form Content with Latent-Space Variables EMNLP 2024 Detecting Mode Collapse in Language Models via Narration EACL 2024 Detection and Measurement of Syntactic Templates in Generated Text EMNLP 2024 DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning NeurIPS 2024 DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ NeurIPS 2024 Dexterous Grasp Transformer CVPR 2024 DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis IJCAI 2024 DGC-GNN: Leveraging Geometry and Color Cues for Visual Descriptor-Free 2D-3D Matching CVPR 2024 DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives IJCAI 2024