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Contrastive Learning

3,538 papers

Papers per year

88
616
'20
'25

Papers

An Attention Self-Supervised Contrastive Learning Based Three-Stage Model for Hand Shape Feature Representation in Cued Speech INTERSPEECH 2021
wav2vec-C: A Self-Supervised Model for Speech Representation Learning INTERSPEECH 2021
Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw INTERSPEECH 2021
Aligned Contrastive Predictive Coding INTERSPEECH 2021
Improved Meta-Learning Training for Speaker Verification INTERSPEECH 2021
Multi-Level Transfer Learning from Near-Field to Far-Field Speaker Verification INTERSPEECH 2021
Speech SimCLR: Combining Contrastive and Reconstruction Objective for Self-Supervised Speech Representation Learning INTERSPEECH 2021
The Zero Resource Speech Challenge 2021: Spoken Language Modelling INTERSPEECH 2021
Token-Level Supervised Contrastive Learning for Punctuation Restoration INTERSPEECH 2021
Multi-Channel Speaker Verification for Single and Multi-Talker Speech INTERSPEECH 2021
Contrastive Estimation Reveals Topic Posterior Information to Linear Models JMLR 2021
Nuc2Vec: Learning Representations of Nuclei in Histopathology Images with Contrastive Loss MIDL 2021
MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models MIDL 2021
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation MLHC 2021
Automatic Generation of Contrast Sets from Scene Graphs: Probing the Compositional Consistency of GQA NAACL 2021
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence NAACL 2021
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach NAACL 2021
Understanding Hard Negatives in Noise Contrastive Estimation NAACL 2021
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training NAACL 2021
Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents NAACL 2021
Supporting Clustering with Contrastive Learning NAACL 2021
Contextualized and Generalized Sentence Representations by Contrastive Self-Supervised Learning: A Case Study on Discourse Relation Analysis NAACL 2021
Adversarial Self-Supervised Learning for Out-of-Domain Detection NAACL 2021
Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction NAACL 2021
Semantic Aligned Multi-modal Transformer for Vision-LanguageUnderstanding: A Preliminary Study on Visual QA NAACL 2021