Contrastive Learning

Aligning Contrastive Multiple Clusterings with User Interests IJCAI 2025 Aligning Human Motion Generation with Human Perceptions ICLR 2025 Aligning Multimodal Representations through an Information Bottleneck ICML 2025 Aligning Visual Contrastive learning models via Preference Optimization ICLR 2025 Alignment, Mining and Fusion: Representation Alignment with Hard Negative Mining and Selective Knowledge Fusion for Medical Visual Question Answering CVPR 2025 Alleviating Hallucinations of Large Language Models through Induced Hallucinations NAACL 2025 Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution AAAI 2025 AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery ICCV 2025 ALW: Adaptive Layer-Wise contrastive decoding enhancing reasoning ability in Large Language Models ACL 2025 Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval AAAI 2025 Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document Clustering AAAI 2025 AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction ICCV 2025 A Medical Image Classification Network Based on Multi-View Consistent Momentum Contrastive Learning IJCAI 2025 AmpleHate: Amplifying the Attention for Versatile Implicit Hate Detection EMNLP 2025 Analyzing and Boosting the Power of Fine-Grained Visual Recognition for Multi-modal Large Language Models ICLR 2025 An Augmentation Overlap Theory of Contrastive Learning JMLR 2025 An Effective Manifold-based Optimization Method for Distributionally Robust Classification ICLR 2025 An Efficient Post-hoc Framework for Reducing Task Discrepancy of Text Encoders for Composed Image Retrieval ICCV 2025 Animate Your Thoughts: Reconstruction of Dynamic Natural Vision from Human Brain Activity ICLR 2025 AniMer: Animal Pose and Shape Estimation Using Family Aware Transformer CVPR 2025 A Novel Negative Sample Generation Method for Contrastive Learning in Hierarchical Text Classification COLING 2025 Are LLMs Rigorous Logical Reasoners? Empowering Natural Language Proof Generation by Stepwise Decoding with Contrastive Learning IJCNLP 2025 ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling AAAI 2025 A Simple Graph Contrastive Learning Framework for Short Text Classification AAAI 2025 A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or Subgoals ICLR 2025