Contrastive Learning

Task-Oriented Koopman-Based Control with Contrastive Encoder CoRL 2023 Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models ICCV 2023 TATA: Stance Detection via Topic-Agnostic and Topic-Aware Embeddings EMNLP 2023 Teacher-Generated Spatial-Attention Labels Boost Robustness and Accuracy of Contrastive Models CVPR 2023 Teaching CLIP to Count to Ten ICCV 2023 Teaching Matters: Investigating the Role of Supervision in Vision Transformers CVPR 2023 Team INF-UFRGS at SemEval-2023 Task 7: Supervised Contrastive Learning for Pair-level Sentence Classification and Evidence Retrieval SemEval 2023 TempCLR: Temporal Alignment Representation with Contrastive Learning ICLR 2023 Temperature Schedules for self-supervised contrastive methods on long-tail data ICLR 2023 Temporal-Frequency Co-training for Time Series Semi-supervised Learning AAAI 2023 Temporal Knowledge Graph Reasoning with Historical Contrastive Learning AAAI 2023 Test-Time Distribution Normalization for Contrastively Learned Visual-language Models NeurIPS 2023 Text Style Transfer with Contrastive Transfer Pattern Mining ACL 2023 The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers ACL 2023 The CRINGE Loss: Learning what language not to model ACL 2023 The Power of Contrast for Feature Learning: A Theoretical Analysis JMLR 2023 The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning ICLR 2023 Three Stream Based Multi-level Event Contrastive Learning for Text-Video Event Extraction EMNLP 2023 Three Towers: Flexible Contrastive Learning with Pretrained Image Models NeurIPS 2023 TIER: Text-Image Entropy Regularization for Medical CLIP-style models MLHC 2023 Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023 TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis ICCV 2023 T.M. Scanlon at SemEval-2023 Task 4: Leveraging Pretrained Language Models for Human Value Argument Mining with Contrastive Learning SemEval 2023 Token Contrast for Weakly-Supervised Semantic Segmentation CVPR 2023 Too much of product information : Don’t worry, let’s look for evidence! EMNLP 2023