Contrastive Learning

FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders ICLR 2021 Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence Encoders EMNLP 2021 Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning EMNLP 2021 Fine-Grained Angular Contrastive Learning With Coarse Labels CVPR 2021 Fine-grained Factual Consistency Assessment for Abstractive Summarization Models EMNLP 2021 Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach NAACL 2021 Function Contrastive Learning of Transferable Meta-Representations ICML 2021 GeomCA: Geometric Evaluation of Data Representations ICML 2021 Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence NAACL 2021 Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration ICCV 2021 Gradient Regularized Contrastive Learning for Continual Domain Adaptation AAAI 2021 Grammatical Error Correction with Contrastive Learning in Low Error Density Domains EMNLP 2021 Graph Contrastive Clustering ICCV 2021 Graph Contrastive Learning Automated ICML 2021 Graph Debiased Contrastive Learning with Joint Representation Clustering IJCAI 2021 Group-Aware Contrastive Regression for Action Quality Assessment ICCV 2021 Guided Point Contrastive Learning for Semi-Supervised Point Cloud Semantic Segmentation ICCV 2021 HiT: Hierarchical Transformer With Momentum Contrast for Video-Text Retrieval ICCV 2021 ICE: Inter-Instance Contrastive Encoding for Unsupervised Person Re-Identification ICCV 2021 ID-Reveal: Identity-Aware DeepFake Video Detection ICCV 2021 Imposing Relation Structure in Language-Model Embeddings Using Contrastive Learning CoNLL 2021 Improved Meta-Learning Training for Speaker Verification Interspeech 2021 Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction NAACL 2021 Improving Contrastive Learning by Visualizing Feature Transformation ICCV 2021 Improving Contrastive Learning on Imbalanced Data via Open-World Sampling NeurIPS 2021