Contrastive Learning

Learning To Generate Text-Grounded Mask for Open-World Semantic Segmentation From Only Image-Text Pairs CVPR 2023 Learning to Know Myself: A Coarse-to-Fine Persona-Aware Training Framework for Personalized Dialogue Generation AAAI 2023 Learning Transformation-Predictive Representations for Detection and Description of Local Features CVPR 2023 Learning Visual Representations via Language-Guided Sampling CVPR 2023 Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning CVPR 2023 Learning without Prejudices: Continual Unbiased Learning via Benign and Malignant Forgetting ICLR 2023 Learning with Partial Annotations for Event Detection ACL 2023 Length is a Curse and a Blessing for Document-level Semantics EMNLP 2023 Less Is More: Volatility Forecasting with Contrastive Representation Learning (Student Abstract) AAAI 2023 Less Likely Brainstorming: Using Language Models to Generate Alternative Hypotheses ACL 2023 Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation ACL 2023 Leveraging Contrastive Learning and Knowledge Distillation for Incomplete Modality Rumor Detection EMNLP 2023 Leveraging Hidden Positives for Unsupervised Semantic Segmentation CVPR 2023 Leveraging Task Dependency and Contrastive Learning for Case Outcome Classification on European Court of Human Rights Cases EACL 2023 LiftedCL: Lifting Contrastive Learning for Human-Centric Perception ICLR 2023 LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation ICLR 2023 Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels ICML 2023 M2DF: Multi-grained Multi-curriculum Denoising Framework for Multimodal Aspect-based Sentiment Analysis EMNLP 2023 MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning IJCAI 2023 MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning AAAI 2023 Making Your First Choice: To Address Cold Start Problem in Medical Active Learning MIDL 2023 Mao-Zedong at SemEval-2023 Task 4: Label Represention Multi-Head Attention Model with Contrastive Learning-Enhanced Nearest Neighbor Mechanism for Multi-Label Text Classification SemEval 2023 Mars: Modeling Context & State Representations with Contrastive Learning for End-to-End Task-Oriented Dialog ACL 2023 MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining CVPR 2023 MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset CVPR 2023