Poster "infonce loss" Papers

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Understanding Contrastive Learning via Gaussian Mixture Models

Parikshit Bansal, Ali Kavis, Sujay Sanghavi

NEURIPS 2025
4
citations

What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context

JING WANG, Wonho Bae, Jiahong Chen et al.

ICLR 2025arXiv:2412.14301
7
citations

Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses

Panagiotis Koromilas, Giorgos Bouritsas, Theodoros Giannakopoulos et al.

ICML 2024arXiv:2405.18045
7
citations

Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning

Sungmin Cha, Kyunghyun Cho, Taesup Moon

ICML 2024arXiv:2306.05101
5
citations