Contrastive Learning

Noise-Tolerant Self-Supervised Learning for Audio-Visual Voice Activity Detection Interspeech 2021 Non-local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation NeurIPS 2021 Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification EMNLP 2021 Novelty Detection via Contrastive Learning with Negative Data Augmentation IJCAI 2021 Nuc2Vec: Learning Representations of Nuclei in Histopathology Images with Contrastive Loss MIDL 2021 Object-aware Contrastive Learning for Debiased Scene Representation NeurIPS 2021 On Compositions of Transformations in Contrastive Self-Supervised Learning ICCV 2021 On Contrastive Representations of Stochastic Processes NeurIPS 2021 On Equivariant and Invariant Learning of Object Landmark Representations ICCV 2021 One-Shot Image Recognition Using Prototypical Encoders With Reduced Hubness WACV 2021 On the Importance of Distractors for Few-Shot Classification ICCV 2021 OSCAR-Net: Object-Centric Scene Graph Attention for Image Attribution ICCV 2021 Pairwise Supervised Contrastive Learning of Sentence Representations EMNLP 2021 Parametric Contrastive Learning ICCV 2021 Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss CVPR 2021 Pattern-enhanced Contrastive Policy Learning Network for Sequential Recommendation IJCAI 2021 Personalized Trajectory Prediction via Distribution Discrimination ICCV 2021 Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation ICCV 2021 Pose Invariant Topological Memory for Visual Navigation ICCV 2021 Progressive Domain Expansion Network for Single Domain Generalization CVPR 2021 Progressive Unsupervised Learning for Visual Object Tracking CVPR 2021 Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning CVPR 2021 Prototypical Contrastive Learning of Unsupervised Representations ICLR 2021 Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss NeurIPS 2021 Provable Representation Learning for Imitation with Contrastive Fourier Features NeurIPS 2021