Contrastive Learning

VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding EMNLP 2021 VideoMoCo: Contrastive Video Representation Learning With Temporally Adversarial Examples CVPR 2021 Wasserstein Contrastive Representation Distillation CVPR 2021 wav2vec-C: A Self-Supervised Model for Speech Representation Learning Interspeech 2021 Weakly Supervised Contrastive Learning ICCV 2021 Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation EMNLP 2021 Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions ICCV 2021 What Makes Instance Discrimination Good for Transfer Learning? ICLR 2021 When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? NeurIPS 2021 xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering ACL 2021 You Never Cluster Alone NeurIPS 2021 Adversarial Self-Supervised Contrastive Learning NeurIPS 2020 A Forest from the Trees: Generation through Neighborhoods AAAI 2020 ALICE: Active Learning with Contrastive Natural Language Explanations EMNLP 2020 A Metric Learning Approach to Misogyny Categorization ACL 2020 An Analysis of the Utility of Explicit Negative Examples to Improve the Syntactic Abilities of Neural Language Models ACL 2020 A Risk Communication Event Detection Model via Contrastive Learning COLING 2020 Asymmetric Distribution Measure for Few-shot Learning IJCAI 2020 Big Self-Supervised Models are Strong Semi-Supervised Learners NeurIPS 2020 Bi-Objective Continual Learning: Learning ‘New’ While Consolidating ‘Known’ AAAI 2020 Characterizing emergent representations in a space of candidate learning rules for deep networks NeurIPS 2020 CLOUD: Contrastive Learning of Unsupervised Dynamics CoRL 2020 CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information ICML 2020 CoMIR: Contrastive Multimodal Image Representation for Registration NeurIPS 2020 ContraGAN: Contrastive Learning for Conditional Image Generation NeurIPS 2020