infonce loss

FANoise: Singular Value-Adaptive Noise Modulation for Robust Multimodal Representation Learning AAAI 2026 CLASS: Contrastive Learning via Action Sequence Supervision for Robot Manipulation CoRL 2025 Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling AAAI 2025 HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms WACV 2025 InfoNCE: Identifying the Gap Between Theory and Practice AISTATS 2025 OASIS: Order-Augmented Strategy for Improved Code Search ACL 2025 OS-GCL: A One-Shot Learner in Graph Contrastive Learning IJCAI 2025 Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning ICML 2025 AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction AAAI 2024 Laparoflow-SSL: Image Analysis From a Tiny Dataset Through Self-Supervised Transformers Leveraging Unlabeled Surgical Video MIDL 2024 OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport ICML 2024 ReGCL: Rethinking Message Passing in Graph Contrastive Learning AAAI 2024 Improving Contrastive Learning of Sentence Embeddings with Focal InfoNCE EMNLP 2023 InfoNCE Loss Provably Learns Cluster-Preserving Representations COLT 2023 Test-Time Distribution Normalization for Contrastively Learned Visual-language Models NeurIPS 2023 Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo CVPR 2022 Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives AAAI 2022