Contrastive Learning

Relational State-Space Model for Stochastic Multi-Object Systems ICLR 2020 ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring ICLR 2020 Representation Learning via Adversarially-Contrastive Optimal Transport ICML 2020 Robust contrastive learning and nonlinear ICA in the presence of outliers UAI 2020 Robust Pre-Training by Adversarial Contrastive Learning NeurIPS 2020 Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID NeurIPS 2020 Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation Interspeech 2020 Self-Supervised Relationship Probing NeurIPS 2020 Self-Supervised Visual Representation Learning from Hierarchical Grouping NeurIPS 2020 Soft Contrastive Learning for Visual Localization NeurIPS 2020 Space-Time Correspondence as a Contrastive Random Walk NeurIPS 2020 Structure Aware Negative Sampling in Knowledge Graphs EMNLP 2020 Supervised Contrastive Learning NeurIPS 2020 Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering CoRL 2020 Temporal Contrastive Pretraining for Video Action Recognition WACV 2020 Text Classification by Contrastive Learning and Cross-lingual Data Augmentation for Alzheimer’s Disease Detection COLING 2020 Time-Consistent Self-Supervision for Semi-Supervised Learning ICML 2020 TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue EMNLP 2020 Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere ICML 2020 Unsupervised Anomaly Detection in Parole Hearings using Language Models EMNLP 2020 Unsupervised Learning of Dense Visual Representations NeurIPS 2020 Unsupervised Learning of Visual Features by Contrasting Cluster Assignments NeurIPS 2020 Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive Learning EMNLP 2020 Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning EMNLP 2020 Video Person Re-ID: Fantastic Techniques and Where to Find Them (Student Abstract) AAAI 2020