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Contrastive Learning

3535 directly classified papers

Papers per year

Papers

Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive Learning EMNLP 2020
Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering EMNLP 2020
Big Self-Supervised Models are Strong Semi-Supervised Learners NIPS 2020
ContraGAN: Contrastive Learning for Conditional Image Generation NIPS 2020
Contrastive learning of global and local features for medical image segmentation with limited annotations NIPS 2020
Characterizing emergent representations in a space of candidate learning rules for deep networks NIPS 2020
Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering CORL 2020
Asymmetric Distribution Measure for Few-shot Learning IJCAI 2020
Learning Representations from Audio-Visual Spatial Alignment NIPS 2020
Unsupervised Learning of Dense Visual Representations NIPS 2020
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases NIPS 2020
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue EMNLP 2020
On Contrastive Learning for Likelihood-free Inference ICML 2020
Time-Consistent Self-Supervision for Semi-Supervised Learning ICML 2020
Group-wise Contrastive Learning for Neural Dialogue Generation EMNLP 2020
What Makes for Good Views for Contrastive Learning? NIPS 2020
LoCo: Local Contrastive Representation Learning NIPS 2020
Cycle-Contrast for Self-Supervised Video Representation Learning NIPS 2020
Self-Supervised Visual Representation Learning from Hierarchical Grouping NIPS 2020
Graph Contrastive Learning with Augmentations NIPS 2020
Contrastive Variational Reinforcement Learning for Complex Observations CORL 2020
Self-Supervised Relationship Probing NIPS 2020
Debiased Contrastive Learning NIPS 2020
Deep Reinforcement and InfoMax Learning NIPS 2020
Self-Supervised Contrastive Learning for Unsupervised Phoneme Segmentation INTERSPEECH 2020