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Contrastive Learning

3535 directly classified papers

Papers per year

Papers

Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases NIPS 2020
What Makes for Good Views for Contrastive Learning? NIPS 2020
Characterizing emergent representations in a space of candidate learning rules for deep networks NIPS 2020
Contrastive Predictive Coding of Audio with an Adversary INTERSPEECH 2020
Unsupervised Anomaly Detection in Parole Hearings using Language Models EMNLP 2020
Do Explicit Alignments Robustly Improve Multilingual Encoders? EMNLP 2020
Learning from Context or Names? An Empirical Study on Neural Relation Extraction EMNLP 2020
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue EMNLP 2020
Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive Learning EMNLP 2020
Pretraining with Contrastive Sentence Objectives Improves Discourse Performance of Language Models ACL 2020
Learning to Contrast the Counterfactual Samples for Robust Visual Question Answering EMNLP 2020
Self-Supervised Visual Representation Learning from Hierarchical Grouping NIPS 2020
Graph Contrastive Learning with Augmentations NIPS 2020
Video Person Re-ID: Fantastic Techniques and Where to Find Them (Student Abstract) AAAI 2020
Bi-Objective Continual Learning: Learning ‘New’ While Consolidating ‘Known’ AAAI 2020
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments NIPS 2020
Soft Contrastive Learning for Visual Localization NIPS 2020
Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding NIPS 2020
Contrastive Adaptation Network for Unsupervised Domain Adaptation CVPR 2019
Learning Representations by Maximizing Mutual Information Across Views NIPS 2019
Align, Attend and Locate: Chest X-Ray Diagnosis via Contrast Induced Attention Network With Limited Supervision ICCV 2019
Contrastive Language Adaptation for Cross-Lingual Stance Detection EMNLP 2019
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning AISTATS 2019
Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations CVPR 2019
Information Competing Process for Learning Diversified Representations NIPS 2019