negative sample

Easy2Hard: From Partially to Fully Unmatched Modalities as Negative Samples in Contrastive Learning CVPR 2026 A Novel Negative Sample Generation Method for Contrastive Learning in Hierarchical Text Classification COLING 2025 Conditional Semantic Textual Similarity via Conditional Contrastive Learning COLING 2025 Learning from Negative Samples in Biomedical Generative Entity Linking ACL 2025 NAT: Enhancing Agent Tuning with Negative Samples NAACL 2025 Teaching Audio-Aware Large Language Models What Does Not Hear: Mitigating Hallucinations through Synthesized Negative Samples Interspeech 2025 Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning NAACL 2025 Unearthing Gems from Stones: Policy Optimization with Negative Sample Augmentation for LLM Reasoning EMNLP 2025 Unsupervised Sentence Representation Learning with Syntactically Aligned Negative Samples NAACL 2025 Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics ICML 2024 Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization EMNLP 2024 Towards Sharper Generalization Bounds for Adversarial Contrastive Learning IJCAI 2024 Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data AAAI 2024 An Effective Deployment of Contrastive Learning in Multi-label Text Classification ACL 2023 Cluster-Guided Contrastive Graph Clustering Network AAAI 2023 Digging out Discrimination Information from Generated Samples for Robust Visual Question Answering ACL 2023 Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach NeurIPS 2023 Hard Sample Aware Network for Contrastive Deep Graph Clustering AAAI 2023 Rethinking Negative Pairs in Code Search EMNLP 2023 Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo CVPR 2022 Negative Sample is Negative in Its Own Way: Tailoring Negative Sentences for Image-Text Retrieval NAACL 2022 Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding AAAI 2022 ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning ICML 2022 Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective NeurIPS 2022 Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning NeurIPS 2021