Contrastive Learning

Learning and Evaluating Representations for Deep One-Class Classification ICLR 2021 Learning by Aligning Videos in Time CVPR 2021 Learning Cross-Modal Contrastive Features for Video Domain Adaptation ICCV 2021 Learning Cross-Modal Retrieval With Noisy Labels CVPR 2021 Learning from Miscellaneous Other-Class Words for Few-shot Named Entity Recognition ACL 2021 Learning From Noisy Data With Robust Representation Learning ICCV 2021 Learning To Cut by Watching Movies ICCV 2021 Learning To Filter: Siamese Relation Network for Robust Tracking CVPR 2021 Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision ICCV 2021 Learning To Predict Visual Attributes in the Wild CVPR 2021 Learning to Rank Question Answer Pairs with Bilateral Contrastive Data Augmentation EMNLP 2021 Learning to See by Looking at Noise NeurIPS 2021 Learning to Track Instances without Video Annotations CVPR 2021 Learning Transferable Features for Point Cloud Detection via 3D Contrastive Co-training NeurIPS 2021 Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization CVPR 2021 Learning with Instance Bundles for Reading Comprehension EMNLP 2021 Lip to Speech Synthesis with Visual Context Attentional GAN NeurIPS 2021 Localizing Visual Sounds the Hard Way CVPR 2021 Local plasticity rules can learn deep representations using self-supervised contrastive predictions NeurIPS 2021 LocTex: Learning Data-Efficient Visual Representations From Localized Textual Supervision ICCV 2021 Look at What I’m Doing: Self-Supervised Spatial Grounding of Narrations in Instructional Videos NeurIPS 2021 Looking Beyond Single Images for Contrastive Semantic Segmentation Learning NeurIPS 2021 LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding AAAI 2021 Masked Contrastive Learning for Anomaly Detection IJCAI 2021 MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation MLHC 2021