Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training

29 January 2021

Weijie J. Su

Papers citing "Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training"

43 / 43 papers shown

Title
GIF: Generative Inspiration for Face Recognition at Scale Saeed Ebrahimi Sahar Rahimi Ali Dabouei Srinjoy Das Jeremy M. Dawson Nasser M. Nasrabadi CVBM 147 0 0 05 May 2025
Enhancing Pre-Trained Model-Based Class-Incremental Learning through Neural Collapse Kun He Zijian Song Shuoxi Zhang J. Hopcroft CLL 56 0 0 25 Apr 2025
Implicit Geometry of Next-token Prediction: From Language Sparsity Patterns to Model Representations Yize Zhao Tina Behnia V. Vakilian Christos Thrampoulidis 55 8 0 20 Feb 2025
Control-oriented Clustering of Visual Latent Representation Han Qi Haocheng Yin Heng Yang SSL 50 2 0 07 Oct 2024
Collapsed Language Models Promote Fairness Jingxuan Xu Wuyang Chen Linyi Li Yao Zhao Yunchao Wei 44 0 0 06 Oct 2024
SGW-based Multi-Task Learning in Vision Tasks Ruiyuan Zhang Yuyao Chen Yuchi Huo Jiaxiang Liu Dianbing Xi Jie Liu Chao Wu 26 0 0 03 Oct 2024
Linear Projections of Teacher Embeddings for Few-Class Distillation Noel Loo Fotis Iliopoulos Wei Hu Erik Vee 25 0 0 30 Sep 2024
Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment Naoya Hasegawa Issei Sato 38 0 0 26 Sep 2024
When resampling/reweighting improves feature learning in imbalanced classification?: A toy-model study Tomoyuki Obuchi Toshiyuki Tanaka 46 0 0 09 Sep 2024
Linguistic Collapse: Neural Collapse in (Large) Language Models Robert Wu V. Papyan 48 12 0 28 May 2024
$How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance$ How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance Hongkang Li Shuai Zhang Yihua Zhang Meng Wang Sijia Liu Pin-Yu Chen 38 4 0 12 Mar 2024
Supervised Contrastive Representation Learning: Landscape Analysis with Unconstrained Features Tina Behnia Christos Thrampoulidis SSL 33 0 0 29 Feb 2024
Pushing Boundaries: Mixup's Influence on Neural Collapse Quinn Fisher Haoming Meng V. Papyan AAML UQCV 38 5 0 09 Feb 2024
Cross Entropy versus Label Smoothing: A Neural Collapse Perspective Li Guo Keith Ross Zifan Zhao G. Andriopoulos Shuyang Ling Yufeng Xu Zixuan Dong UQCV NoLa 30 9 0 06 Feb 2024
An extended asymmetric sigmoid with Perceptron (SIGTRON) for imbalanced linear classification Hyenkyun Woo 15 0 0 26 Dec 2023
Neural Collapse in Multi-label Learning with Pick-all-label Loss Pengyu Li Xiao Li Yutong Wang Qing Qu 22 8 0 24 Oct 2023
Generalized Neural Collapse for a Large Number of Classes Jiachen Jiang Jinxin Zhou Peng Wang Qing Qu Dustin Mixon Chong You Zhihui Zhu AI4CE 32 23 0 09 Oct 2023
Fundamental Limits of Deep Learning-Based Binary Classifiers Trained with Hinge Loss T. Getu Georges Kaddoum M. Bennis 37 1 0 13 Sep 2023
Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants Yibo Yang Haobo Yuan Xiangtai Li Jianlong Wu Lefei Zhang Zhouchen Lin Philip H. S. Torr Dacheng Tao Bernard Ghanem CLL 31 8 0 03 Aug 2023
A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks Vignesh Kothapalli Tom Tirer Joan Bruna 36 10 0 04 Jul 2023
Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching Ganesh Ramachandra Kini V. Vakilian Tina Behnia Jaidev Gill Christos Thrampoulidis 17 1 0 13 Jun 2023
Quantifying the Variability Collapse of Neural Networks Jing-Xue Xu Haoxiong Liu 36 4 0 06 Jun 2023
Towards understanding neural collapse in supervised contrastive learning with the information bottleneck method Siwei Wang S. Palmer 21 2 0 19 May 2023
Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity Tong Liang Jim Davis 30 10 0 10 Mar 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning Yibo Yang Haobo Yuan Xiangtai Li Zhouchen Lin Philip H. S. Torr Dacheng Tao CLL 32 96 0 06 Feb 2023
Learning Prototype Classifiers for Long-Tailed Recognition Saurabh Sharma Yongqin Xian Ning Yu Ambuj K. Singh 22 13 0 01 Feb 2023
Understanding Imbalanced Semantic Segmentation Through Neural Collapse Zhisheng Zhong Jiequan Cui Yibo Yang Xiaoyang Wu Xiaojuan Qi X. Zhang Jiaya Jia 129 45 0 03 Jan 2023
Principled and Efficient Transfer Learning of Deep Models via Neural Collapse Xiao Li Sheng Liu Jin-li Zhou Xin Lu C. Fernandez‐Granda Zhihui Zhu Q. Qu AAML 28 18 0 23 Dec 2022
A Law of Data Separation in Deep Learning Hangfeng He Weijie J. Su OOD 24 36 0 31 Oct 2022
Perturbation Analysis of Neural Collapse Tom Tirer Haoxiang Huang Jonathan Niles-Weed AAML 32 23 0 29 Oct 2022
Grokking phase transitions in learning local rules with gradient descent Bojan Žunkovič E. Ilievski 63 16 0 26 Oct 2022
Hidden State Variability of Pretrained Language Models Can Guide Computation Reduction for Transfer Learning Shuo Xie Jiahao Qiu Ankita Pasad Li Du Qing Qu Hongyuan Mei 35 16 0 18 Oct 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold Can Yaras Peng Wang Zhihui Zhu Laura Balzano Qing Qu 22 41 0 19 Sep 2022
Importance Tempering: Group Robustness for Overparameterized Models Yiping Lu Wenlong Ji Zachary Izzo Lexing Ying 39 7 0 19 Sep 2022
The Neural Process Family: Survey, Applications and Perspectives Saurav Jha Dong Gong Xuesong Wang Richard E. Turner L. Yao BDL 73 24 0 01 Sep 2022
Balanced Contrastive Learning for Long-Tailed Visual Recognition Jianggang Zhu Z. Wang Jingjing Chen Yi-Ping Phoebe Chen Yueping Jiang 24 167 0 19 Jul 2022
Neural Collapse: A Review on Modelling Principles and Generalization Vignesh Kothapalli 21 71 0 08 Jun 2022
Federated Optimization of Smooth Loss Functions Ali Jadbabaie A. Makur Devavrat Shah FedML 19 7 0 06 Jan 2022
Understanding Square Loss in Training Overparametrized Neural Network Classifiers Tianyang Hu Jun Wang Wenjia Wang Zhenguo Li UQCV AAML 35 19 0 07 Dec 2021
Imitating Deep Learning Dynamics via Locally Elastic Stochastic Differential Equations Jiayao Zhang Hua Wang Weijie J. Su 32 7 0 11 Oct 2021
Gradient-Based Empirical Risk Minimization using Local Polynomial Regression Ali Jadbabaie A. Makur Devavrat Shah 25 6 0 04 Nov 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 323 4,203 0 23 Aug 2019
Convex Sparse Matrix Factorizations Francis R. Bach Julien Mairal Jean Ponce 137 143 0 10 Dec 2008