contrastive learning

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 Cross-Domain Detection via Graph-Induced Prototype Alignment 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 Debiased Contrastive 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 Duluth at SemEval-2020 Task 7: Using Surprise as a Key to Unlock Humorous Headlines SemEval 2020 Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning CVPR 2020 Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition CVPR 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 Graph Contrastive Learning with Augmentations NeurIPS 2020 Group-wise Contrastive Learning for Neural Dialogue Generation EMNLP 2020