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Contrastive Learning

1193 directly classified papers

Papers per year

Papers

Revisiting Domain Generalized Stereo Matching Networks From a Feature Consistency Perspective CVPR 2022
Marginal Contrastive Correspondence for Guided Image Generation CVPR 2022
Geometric Anchor Correspondence Mining With Uncertainty Modeling for Universal Domain Adaptation CVPR 2022
Unpaired Deep Image Deraining Using Dual Contrastive Learning CVPR 2022
Vision-Language Pre-Training With Triple Contrastive Learning CVPR 2022
CLIP-Event: Connecting Text and Images With Event Structures CVPR 2022
Id-Free Person Similarity Learning CVPR 2022
Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discrimination NIPS 2022
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification NIPS 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling NIPS 2022
Self-Supervised Visual Representation Learning with Semantic Grouping NIPS 2022
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning NIPS 2022
SCL-WC: Cross-Slide Contrastive Learning for Weakly-Supervised Whole-Slide Image Classification NIPS 2022
Optimal Positive Generation via Latent Transformation for Contrastive Learning NIPS 2022
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach NIPS 2022
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs NIPS 2022
Contrastive Graph Structure Learning via Information Bottleneck for Recommendation NIPS 2022
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP NIPS 2022
Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome NIPS 2022
Quality Not Quantity: On the Interaction between Dataset Design and Robustness of CLIP NIPS 2022
Contrastive Adapters for Foundation Model Group Robustness NIPS 2022
BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling NIPS 2022
Contrastive Language-Image Pre-Training with Knowledge Graphs NIPS 2022
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods NIPS 2022
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations NIPS 2022