contrastive learning

Rank-N-Contrast: Learning Continuous Representations for Regression NeurIPS 2023 RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search IJCAI 2023 Rationale-Enhanced Language Models are Better Continual Relation Learners EMNLP 2023 RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training ACL 2023 RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning ICCV 2023 ReactioNet: Learning High-Order Facial Behavior from Universal Stimulus-Reaction by Dyadic Relation Reasoning ICCV 2023 ReCLR: Reference-Enhanced Contrastive Learning of Audio Representation for Depression Detection Interspeech 2023 Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors NeurIPS 2023 ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction NeurIPS 2023 RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension CVPR 2023 ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation EMNLP 2023 ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval ACL 2023 Region-Aware Pretraining for Open-Vocabulary Object Detection With Vision Transformers CVPR 2023 Relation-based Counterfactual Data Augmentation and Contrastive Learning for Robustifying Natural Language Inference Models Interspeech 2023 Relaxing Contrastiveness in Multimodal Representation Learning WACV 2023 Representation Disentanglement in Generative Models With Contrastive Learning WACV 2023 Representation Recovering for Self-Supervised Pre-Training on Medical Images WACV 2023 Reproducible Scaling Laws for Contrastive Language-Image Learning CVPR 2023 Residual Pattern Learning for Pixel-Wise Out-of-Distribution Detection in Semantic Segmentation ICCV 2023 Rethinking Dictionaries and Glyphs for Chinese Language Pre-training ACL 2023 Rethinking Negative Pairs in Code Search EMNLP 2023 Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation WACV 2023 Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective NeurIPS 2023 Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning ICLR 2023 Rethinking Weak Supervision in Helping Contrastive Learning ICML 2023