VNE: An Effective Method for Improving Deep Representation by
Manipulating Eigenvalue Distribution

VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution

Computer Vision and Pattern Recognition (CVPR), 2023

4 April 2023

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Papers citing "VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution"

7 / 7 papers shown

Title
AdaDim: Dimensionality Adaptation for SSL Representational Dynamics Kiran Kokilepersaud Mohit Prabhushankar Ghassan AlRegib 341 1 0 18 May 2025
Exploring Information-Theoretic Metrics Associated with Neural Collapse in Supervised Training Kun Song Zhiquan Tan Bochao Zou Jiansheng Chen Huimin Ma Weiran Huang 377 1 0 25 Sep 2024
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities Alexander Nikitin Jannik Kossen Yarin Gal Pekka Marttinen UQCV 362 87 0 30 May 2024
Unveiling Key Aspects of Fine-Tuning in Sentence Embeddings: A Representation Rank AnalysisIEEE Access (IEEE Access), 2024 Euna Jung Jaeill Kim Jungmin Ko Jinwoo Park Wonjong Rhee 179 0 0 18 May 2024
Improving Forward Compatibility in Class Incremental Learning by Increasing Representation Rank and Feature RichnessNeural Networks (NN), 2024 Jaeill Kim Wonseok Lee Moonjung Eo Wonjong Rhee CLL 295 0 0 22 Mar 2024
WeedCLR: Weed Contrastive Learning through Visual Representations with Class-Optimized Loss in Long-Tailed Datasets Alzayat Saleh A. Olsen Jake Wood B. Philippa M. R. Azghadi 194 1 0 19 Oct 2023
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin OCL SSL 1.2K 4,635 0 17 Jun 2020