contrastive learning

Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data NeurIPS 2021 Model-Contrastive Federated Learning CVPR 2021 Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis CVPR 2021 MoPro: Webly Supervised Learning with Momentum Prototypes ICLR 2021 MOTIF-Driven Contrastive Learning of Graph Representations AAAI 2021 Motion-Focused Contrastive Learning of Video Representations ICCV 2021 Multi-Channel Speaker Verification for Single and Multi-Talker Speech Interspeech 2021 Multi-Level Transfer Learning from Near-Field to Far-Field Speaker Verification Interspeech 2021 Multilingual BERT Post-Pretraining Alignment NAACL 2021 Multimodal Clustering Networks for Self-Supervised Learning From Unlabeled Videos ICCV 2021 Multimodal Contrastive Training for Visual Representation Learning CVPR 2021 Multi-Objective Interpolation Training for Robustness To Label Noise CVPR 2021 Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning IJCAI 2021 Multi-stage Training with Improved Negative Contrast for Neural Passage Retrieval EMNLP 2021 Multi-view Contrastive Graph Clustering NeurIPS 2021 Mutual Information Maximization on Disentangled Representations for Differential Morph Detection WACV 2021 NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases EMNLP 2021 Negative Data Augmentation ICLR 2021 Neighborhood Contrastive Learning Applied to Online Patient Monitoring ICML 2021 Neighborhood Contrastive Learning for Novel Class Discovery CVPR 2021 NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation ICLR 2021 Neural Algorithmic Reasoners are Implicit Planners NeurIPS 2021 Neural Feature Search for RGB-Infrared Person Re-Identification CVPR 2021 Noise-Tolerant Self-Supervised Learning for Audio-Visual Voice Activity Detection Interspeech 2021 Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification EMNLP 2021