conftrace_

contrastive learning

4,492 papers

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Also known as

CL

Co-occurring keywords · papers mentioning both

representation learning (960) self-supervised learning (717) multimodal learning (386) vision-language model (263) unsupervised learning (225) graph neural network (224) zero-shot learning (214) domain adaptation (178) large language model (174) knowledge distillation (169)

Papers

Neural Architecture Retrieval ICLR 2024 Neural Compression Augmentation for Contrastive Audio Representation Learning Interspeech 2024 News Deja Vu: Connecting Past and Present with Semantic Search NAACL 2024 Next Visit Diagnosis Prediction via Medical Code-Centric Multimodal Contrastive EHR Modelling with Hierarchical Regularisation EACL 2024 NJUST-KMG at TRAC-2024 Tasks 1 and 2: Offline Harm Potential Identification COLING 2024 No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models NeurIPS 2024 NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models CVPR 2024 No More Shortcuts: Realizing the Potential of Temporal Self-Supervision AAAI 2024 Non-negative Contrastive Learning ICLR 2024 Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning AISTATS 2024 Non-parametric Representation Learning with Kernels AAAI 2024 Novel Class Discovery for Ultra-Fine-Grained Visual Categorization CVPR 2024 Novel Class Discovery in Chest X-rays via Paired Images and Text AAAI 2024 Object Attribute Matters in Visual Question Answering AAAI 2024 Object-Aware Adaptive-Positivity Learning for Audio-Visual Question Answering AAAI 2024 Object Aware Contrastive Prior for Interactive Image Segmentation WACV 2024 ODCR: Orthogonal Decoupling Contrastive Regularization for Unpaired Image Dehazing CVPR 2024 Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching ICML 2024 OmniMotionGPT: Animal Motion Generation with Limited Data CVPR 2024 OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning CVPR 2024 On Eliciting Syntax from Language Models via Hashing EMNLP 2024 One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection NeurIPS 2024 On Learning Frequency-Instance Correlations by Model-Agnostic Training for Synthetic Speech Detection ACML 2024 On Learning to Summarize with Large Language Models as References NAACL 2024 On the Language Encoder of Contrastive Cross-modal Models ACL 2024