Variance-Covariance Regularization Improves Representation Learning

23 June 2023

Papers citing "Variance-Covariance Regularization Improves Representation Learning"

8 / 8 papers shown

Title
Video Representation Learning with Joint-Embedding Predictive Architectures Katrina Drozdov Ravid Shwartz-Ziv Yann LeCun AI4TS 67 1 0 14 Dec 2024
Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning Md Rifat Arefin G. Subbaraj Nicolas Angelard-Gontier Yann LeCun Irina Rish Ravid Shwartz-Ziv C. Pal LRM 60 0 0 04 Nov 2024
Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification Zhiwei Zhang 21 0 0 30 Aug 2024
Regularized Training with Generated Datasets for Name-Only Transfer of Vision-Language Models Minho Park S. Park Jooyeol Yun Jaegul Choo VLM 22 0 0 08 Jun 2024
OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation Baran Ozaydin Tong Zhang Deblina Bhattacharjee Sabine Süsstrunk Mathieu Salzmann 24 1 0 11 Mar 2024
To Compress or Not to Compress- Self-Supervised Learning and Information Theory: A Review Ravid Shwartz-Ziv Yann LeCun SSL 11 71 0 19 Apr 2023
Pre-Train Your Loss: Easy Bayesian Transfer Learning with Informative Priors Ravid Shwartz-Ziv Micah Goldblum Hossein Souri Sanyam Kapoor Chen Zhu Yann LeCun A. Wilson UQCV BDL 56 43 0 20 May 2022
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 243 7,597 0 03 Jul 2012