contrastive learning

CASTing Your Model: Learning To Localize Improves Self-Supervised Representations CVPR 2021 CATE: A Contrastive Pre-trained Model for Metaphor Detection with Semi-supervised Learning EMNLP 2021 CLAR: Contrastive Learning of Auditory Representations AISTATS 2021 CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks EMNLP 2021 CLCC: Contrastive Learning for Color Constancy CVPR 2021 CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation NeurIPS 2021 CLEVE: Contrastive Pre-training for Event Extraction ACL 2021 CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization EMNLP 2021 CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding ACL 2021 CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients ICML 2021 Clustering by Maximizing Mutual Information Across Views ICCV 2021 CO2: Consistent Contrast for Unsupervised Visual Representation Learning ICLR 2021 Co2L: Contrastive Continual Learning ICCV 2021 COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining NeurIPS 2021 CoCoNets: Continuous Contrastive 3D Scene Representations CVPR 2021 COHESIV: Contrastive Object and Hand Embedding Segmentation In Video NeurIPS 2021 Collaborative Unsupervised Visual Representation Learning From Decentralized Data ICCV 2021 CoMatch: Semi-Supervised Learning With Contrastive Graph Regularization ICCV 2021 Common Sense Beyond English: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning ACL 2021 Complementary Relation Contrastive Distillation CVPR 2021 COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction CVPR 2021 Composable Augmentation Encoding for Video Representation Learning ICCV 2021 Compressed Video Contrastive Learning NeurIPS 2021 Compressive Visual Representations NeurIPS 2021 Conditional Negative Sampling for Contrastive Learning of Visual Representations ICLR 2021