Contrastive Learning

Contrastive Distillation on Intermediate Representations for Language Model Compression EMNLP 2020 Contrastive learning of global and local features for medical image segmentation with limited annotations NeurIPS 2020 Contrastive Learning of Structured World Models ICLR 2020 Contrastive Learning with Adversarial Examples NeurIPS 2020 Contrastive Multi-View Representation Learning on Graphs ICML 2020 Contrastive Predictive Coding of Audio with an Adversary Interspeech 2020 Contrastive Representation Distillation ICLR 2020 Contrastive Self-Supervised Learning for Commonsense Reasoning ACL 2020 Contrastive Variational Reinforcement Learning for Complex Observations CoRL 2020 Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack COLING 2020 Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding NeurIPS 2020 Cross-Batch Memory for Embedding Learning CVPR 2020 CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances NeurIPS 2020 CURL: Contrastive Unsupervised Representations for Reinforcement Learning ICML 2020 Cycle-Contrast for Self-Supervised Video Representation Learning NeurIPS 2020 Data-Efficient Image Recognition with Contrastive Predictive Coding ICML 2020 Debiased Contrastive Learning NeurIPS 2020 Deep Reinforcement and InfoMax Learning NeurIPS 2020 Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases NeurIPS 2020 Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning CVPR 2020 Distilling Structured Knowledge for Text-Based Relational Reasoning EMNLP 2020 Do Explicit Alignments Robustly Improve Multilingual Encoders? EMNLP 2020 Duluth at SemEval-2020 Task 7: Using Surprise as a Key to Unlock Humorous Headlines SemEval 2020 Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning NeurIPS 2020 Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features CVPR 2020