Contrastive Learning

Temporal Knowledge Graph Reasoning with Historical Contrastive Learning AAAI 2023 Test-Time Distribution Normalization for Contrastively Learned Visual-language Models NeurIPS 2023 Text encoders bottleneck compositionality in contrastive vision-language models EMNLP 2023 Text Style Transfer with Contrastive Transfer Pattern Mining ACL 2023 The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers ACL 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 T.M. Scanlon at SemEval-2023 Task 4: Leveraging Pretrained Language Models for Human Value Argument Mining with Contrastive Learning SemEval 2023 Topic-DPR: Topic-based Prompts for Dense Passage Retrieval EMNLP 2023 TopNet: Transformer-Based Object Placement Network for Image Compositing CVPR 2023 ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling CVPR 2023 Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training AAAI 2023 Towards Better Representations for Multi-Label Text Classification with Multi-granularity Information EMNLP 2023 Towards Effective Instance Discrimination Contrastive Loss for Unsupervised Domain Adaptation ICCV 2023 Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network AAAI 2023 Towards robust and generalizable representations of extracellular data using contrastive learning NeurIPS 2023 Towards Robust Ranker for Text Retrieval ACL 2023 Towards Zero-shot Relation Extraction in Web Mining: A Multimodal Approach with Relative XML Path EMNLP 2023 TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning With Structure-Trajectory Prompted Reconstruction for Person Re-Identification CVPR 2023 TridentSE: Guiding Speech Enhancement with 32 Global Tokens Interspeech 2023 Truncate-Split-Contrast: A Framework for Learning from Mislabeled Videos AAAI 2023 Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition EMNLP 2023 UCF: Uncovering Common Features for Generalizable Deepfake Detection ICCV 2023 Uncovering Limitations in Text-to-Image Generation: A Contrastive Approach with Structured Semantic Alignment EMNLP 2023 Understanding Contrastive Learning via Distributionally Robust Optimization NeurIPS 2023