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Contrastive Learning

1193 directly classified papers

Papers per year

Papers

Do Explicit Alignments Robustly Improve Multilingual Encoders? EMNLP 2020
Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive Learning EMNLP 2020
Structure Aware Negative Sampling in Knowledge Graphs EMNLP 2020
Context-Aware Group Captioning via Self-Attention and Contrastive Features CVPR 2020
Words Aren’t Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions ACL 2020
Cross-Batch Memory for Embedding Learning CVPR 2020
Contrastive Learning with Adversarial Examples NIPS 2020
CoMIR: Contrastive Multimodal Image Representation for Registration NIPS 2020
Supervised Contrastive Learning NIPS 2020
Generalize Sentence Representation with Self-Inference AAAI 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning ICML 2020
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models ACL 2020
Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning EMNLP 2020
Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning CVPR 2020
Pre-training Entity Relation Encoder with Intra-span and Inter-span Information EMNLP 2020
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning NIPS 2020
Pronunciation Erroneous Tendency Detection with Language Adversarial Represent Learning INTERSPEECH 2020
Contrastive Self-Supervised Learning for Commonsense Reasoning ACL 2020
Contrastive Distillation on Intermediate Representations for Language Model Compression EMNLP 2020
Learning Representations from Audio-Visual Spatial Alignment NIPS 2020
Self-supervised Co-Training for Video Representation Learning NIPS 2020
Graph Contrastive Learning with Augmentations NIPS 2020
Multi-label Contrastive Predictive Coding NIPS 2020
Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID NIPS 2020
Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering EMNLP 2020