contrastive learning

Text encoders bottleneck compositionality in contrastive vision-language models EMNLP 2023 Texts as Images in Prompt Tuning for Multi-Label Image Recognition CVPR 2023 Text Style Transfer with Contrastive Transfer Pattern Mining ACL 2023 Text-to-Image Diffusion Models are Zero Shot Classifiers NeurIPS 2023 TG-VQA: Ternary Game of Video Question Answering IJCAI 2023 The Benefits of Bad Advice: Autocontrastive Decoding across Model Layers ACL 2023 The CRINGE Loss: Learning what language not to model ACL 2023 The Power of Contrast for Feature Learning: A Theoretical Analysis JMLR 2023 The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning ICML 2023 The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning ICLR 2023 Three Stream Based Multi-level Event Contrastive Learning for Text-Video Event Extraction EMNLP 2023 Three Towers: Flexible Contrastive Learning with Pretrained Image Models NeurIPS 2023 Time Series Contrastive Learning with Information-Aware Augmentations AAAI 2023 TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis ICCV 2023 T.M. Scanlon at SemEval-2023 Task 4: Leveraging Pretrained Language Models for Human Value Argument Mining with Contrastive Learning SemEval 2023 Token Contrast for Weakly-Supervised Semantic Segmentation CVPR 2023 Topic-DPR: Topic-based Prompts for Dense Passage Retrieval EMNLP 2023 Topic-Guided Sampling For Data-Efficient Multi-Domain Stance Detection ACL 2023 TopNet: Transformer-Based Object Placement Network for Image Compositing CVPR 2023 TopoSRL: Topology preserving self-supervised Simplicial Representation Learning NeurIPS 2023 ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling CVPR 2023 Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training AAAI 2023 Towards Attention-based Contrastive Learning for Audio Spoof Detection Interspeech 2023 Towards a Unified Framework for Reference Retrieval and Related Work Generation EMNLP 2023 Towards a Unified Framework of Contrastive Learning for Disentangled Representations NeurIPS 2023