representation learning

Brain-inspired L_p-Convolution benefits large kernels and aligns better with visual cortex ICLR 2025 Breaking the Memory Barrier of Contrastive Loss via Tile-Based Strategy CVPR 2025 Bridging Domain Generalization to Multimodal Domain Generalization via Unified Representations ICCV 2025 Bridging Domains with Approximately Shared Features AISTATS 2025 Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba for End-to-end Whole Slide Image Analysis ICCV 2025 Bridging Perception and Action: Spatially-Grounded Mid-Level Representations for Robot Generalization RSS 2025 CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression AAAI 2025 Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning ICLR 2025 Can Large Language Models Act as Ensembler for Multi-GNNs? EMNLP 2025 Can One Modality Model Synergize Training of Other Modality Models? ICLR 2025 CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning AAAI 2025 CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning EMNLP 2025 CARL: Causality-guided Architecture Representation Learning for an Interpretable Performance Predictor ICCV 2025 CARMA: Enhanced Compositionality in LLMs via Advanced Regularisation and Mutual Information Alignment EMNLP 2025 CateEA: Enhancing Entity Alignment via Implicit Category Supervision COLING 2025 Causal Graphical Models for Vision-Language Compositional Understanding ICLR 2025 Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting IJCAI 2025 Causally Motivated Sycophancy Mitigation for Large Language Models ICLR 2025 CEMTM: Contextual Embedding-based Multimodal Topic Modeling EMNLP 2025 CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning ICML 2025 CFDM: Contrastive Fusion and Disambiguation for Multi-View Partial-Label Learning AAAI 2025 Challenging Assumptions in Learning Generic Text Style Embeddings NAACL 2025 Channel Propagation Networks for Refreshable Vision Transformer WACV 2025 Characterizing the Role of Similarity in the Property Inferences of Language Models NAACL 2025 Chebyshev Attention Depth Permutation Texture Network with Latent Texture Attribute Loss CVPR 2025