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contrastive learning

4032 papers

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Also known as

CL

Co-occurring keywords

representation learning (6206) self-supervised learning (3777) multimodal learning (4645) unsupervised learning (3264) graph neural network (3962) vision-language model (2348) zero-shot learning (3650) domain adaptation (4595) large language model (13587) transfer learning (5449)

Papers

Towards Distribution-Agnostic Generalized Category Discovery NIPS 2023
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions NIPS 2023
Towards a Unified Framework of Contrastive Learning for Disentangled Representations NIPS 2023
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective NIPS 2023
Towards Robust and Expressive Whole-body Human Pose and Shape Estimation NIPS 2023
Rank-N-Contrast: Learning Continuous Representations for Regression NIPS 2023
Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation NIPS 2023
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning NIPS 2023
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space NIPS 2023
Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series NIPS 2023
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis NIPS 2023
SwiFT: Swin 4D fMRI Transformer NIPS 2023
DeWave: Discrete Encoding of EEG Waves for EEG to Text Translation NIPS 2023
Learning to Know Myself: A Coarse-to-Fine Persona-Aware Training Framework for Personalized Dialogue Generation AAAI 2023
Self-Supervised Distilled Learning for Multi-Modal Misinformation Identification WACV 2023
Multi-Modality Deep Network for JPEG Artifacts Reduction IJCAI 2023
Contrastive Learning for Sign Language Recognition and Translation IJCAI 2023
Making Your First Choice: To Address Cold Start Problem in Medical Active Learning MIDL 2023
Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation MIDL 2023
Mean-Shifted Contrastive Loss for Anomaly Detection AAAI 2023
UCoL: Unsupervised Learning of Discriminative Facial Representations via Uncertainty-Aware Contrast AAAI 2023
Contrastive Masked Autoencoders for Self-Supervised Video Hashing AAAI 2023
Self-Supervised Video Representation Learning via Latent Time Navigation AAAI 2023
Exploiting High-Order Interaction Relations to Explore User Intent (Student Abstract) AAAI 2023
Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Network AAAI 2023