← Learning Types
Machine Learning › Learning Types ›

Contrastive Learning

3535 directly classified papers

Papers per year

Papers

Gradient Regularized Contrastive Learning for Continual Domain Adaptation AAAI 2021
Multi-Channel Speaker Verification for Single and Multi-Talker Speech INTERSPEECH 2021
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer ACL 2021
CoSQA: 20,000+ Web Queries for Code Search and Question Answering ACL 2021
Supervised Tree-Wasserstein Distance ICML 2021
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation NIPS 2020
Few-shot Visual Reasoning with Meta-Analogical Contrastive Learning NIPS 2020
Temporal Contrastive Pretraining for Video Action Recognition WACV 2020
Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack COLING 2020
Learning with Contrastive Examples for Data-to-Text Generation COLING 2020
Duluth at SemEval-2020 Task 7: Using Surprise as a Key to Unlock Humorous Headlines COLING 2020
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere ICML 2020
A Metric Learning Approach to Misogyny Categorization ACL 2020
Improving Speech Recognition Using GAN-Based Speech Synthesis and Contrastive Unspoken Text Selection INTERSPEECH 2020
Representation Learning via Adversarially-Contrastive Optimal Transport ICML 2020
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information ICML 2020
Multimodal Association for Speaker Verification INTERSPEECH 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning ICML 2020
Pronunciation Erroneous Tendency Detection with Language Adversarial Represent Learning INTERSPEECH 2020
Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening MIDL 2020
Learning Predictive Representations for Deformable Objects Using Contrastive Estimation CORL 2020
Hard Negative Mixing for Contrastive Learning NIPS 2020
Large Scale Video Representation Learning via Relational Graph Clustering CVPR 2020
CLOUD: Contrastive Learning of Unsupervised Dynamics CORL 2020
Words Aren’t Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions ACL 2020