Contrastive Learning

Multi-Relational Probabilistic Event Representation Learning via Projected Gaussian Embedding ACL 2023 Multi-Scale Contrastive Learning for Complex Scene Generation WACV 2023 Multi-Scale Subgraph Contrastive Learning IJCAI 2023 Multi-Symmetry Ensembles: Improving Diversity and Generalization via Opposing Symmetries ICML 2023 Multi-View Action Recognition Using Contrastive Learning WACV 2023 Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs EMNLP 2023 Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction IJCAI 2023 Multi-view graph contrastive learning for solving vehicle routing problems UAI 2023 Multi-View Robust Graph Representation Learning for Graph Classification IJCAI 2023 MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data NeurIPS 2023 Neighbor Contrastive Learning on Learnable Graph Augmentation AAAI 2023 Neural Topic Modeling based on Cycle Adversarial Training and Contrastive Learning ACL 2023 Noise-Robust De-Duplication at Scale ICLR 2023 Noise-Robust Training with Dynamic Loss and Contrastive Learning for Distantly-Supervised Named Entity Recognition ACL 2023 Nonparametric Masked Language Modeling ACL 2023 NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive Learning Interspeech 2023 No Reference Opinion Unaware Quality Assessment of Authentically Distorted Images WACV 2023 Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization ICML 2023 One-Shot Recognition of Any Material Anywhere Using Contrastive Learning with Physics-Based Rendering ICCV 2023 On Isotropy, Contextualization and Learning Dynamics of Contrastive-based Sentence Representation Learning ACL 2023 Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning ICCV 2023 On the duality between contrastive and non-contrastive self-supervised learning ICLR 2023 On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning. ICLR 2023 On the Generalization of Multi-modal Contrastive Learning ICML 2023 On The Inadequacy of Optimizing Alignment and Uniformity in Contrastive Learning of Sentence Representations ICLR 2023