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2402.03979
Cited By
Cross Entropy versus Label Smoothing: A Neural Collapse Perspective
6 February 2024
Li Guo
George Andriopoulos
Zifan Zhao
Shuyang Ling
Shuyang Ling
Keith Ross
UQCV
NoLa
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Papers citing
"Cross Entropy versus Label Smoothing: A Neural Collapse Perspective"
28 / 28 papers shown
Title
Generalized Neural Collapse for a Large Number of Classes
Jiachen Jiang
Jinxin Zhou
Peng Wang
Qing Qu
Dustin Mixon
Chong You
Zhihui Zhu
AI4CE
53
27
0
09 Oct 2023
Neural Collapse for Unconstrained Feature Model under Cross-entropy Loss with Imbalanced Data
Wanli Hong
Shuyang Ling
47
16
0
18 Sep 2023
Inducing Neural Collapse in Deep Long-tailed Learning
Xuantong Liu
Jianfeng Zhang
Tianyang Hu
He Cao
Lujia Pan
Yuan Yao
44
31
0
24 Feb 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class Incremental Learning
Yibo Yang
Haobo Yuan
Hefei Ling
Zhouchen Lin
Philip Torr
Dacheng Tao
CLL
67
99
0
06 Feb 2023
Neural Collapse in Deep Linear Networks: From Balanced to Imbalanced Data
Hien Dang
Tho Tran
T. Nguyen
Hung The Tran
Nhat Ho
Hung Tran
55
30
0
01 Jan 2023
Perturbation Analysis of Neural Collapse
Tom Tirer
Haoxiang Huang
Jonathan Niles-Weed
AAML
66
26
0
29 Oct 2022
Continual Learning by Modeling Intra-Class Variation
L. Yu
Tianyang Hu
Lanqing Hong
Zhen Liu
Adrian Weller
Weiyang Liu
CLL
72
13
0
11 Oct 2022
Are All Losses Created Equal: A Neural Collapse Perspective
Jinxin Zhou
Chong You
Xiao Li
Kangning Liu
Sheng Liu
Qing Qu
Zhihui Zhu
55
63
0
04 Oct 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold
Can Yaras
Peng Wang
Zhihui Zhu
Laura Balzano
Qing Qu
41
44
0
19 Sep 2022
Imbalance Trouble: Revisiting Neural-Collapse Geometry
Christos Thrampoulidis
Ganesh Ramachandra Kini
V. Vakilian
Tina Behnia
49
71
0
10 Aug 2022
Neural Collapse Inspired Attraction-Repulsion-Balanced Loss for Imbalanced Learning
Liang Xie
Yibo Yang
Deng Cai
Xiaofei He
41
45
0
19 Apr 2022
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
Jinxin Zhou
Xiao Li
Tian Ding
Chong You
Qing Qu
Zhihui Zhu
61
101
0
02 Mar 2022
Extended Unconstrained Features Model for Exploring Deep Neural Collapse
Tom Tirer
Joan Bruna
AAML
23
97
0
16 Feb 2022
On the Role of Neural Collapse in Transfer Learning
Tomer Galanti
András Gyorgy
Marcus Hutter
SSL
47
90
0
30 Dec 2021
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path
X. Y. Han
Vardan Papyan
D. Donoho
AAML
56
143
0
03 Jun 2021
A Geometric Analysis of Neural Collapse with Unconstrained Features
Zhihui Zhu
Tianyu Ding
Jinxin Zhou
Xiao Li
Chong You
Jeremias Sulam
Qing Qu
58
202
0
06 May 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Cong Fang
Hangfeng He
Qi Long
Weijie J. Su
FAtt
143
170
0
29 Jan 2021
Explicit regularization and implicit bias in deep network classifiers trained with the square loss
T. Poggio
Q. Liao
22
42
0
31 Dec 2020
On the emergence of simplex symmetry in the final and penultimate layers of neural network classifiers
E. Weinan
Stephan Wojtowytsch
56
44
0
10 Dec 2020
Neural collapse with unconstrained features
D. Mixon
Hans Parshall
Jianzong Pi
46
118
0
23 Nov 2020
Prevalence of Neural Collapse during the terminal phase of deep learning training
Vardan Papyan
Xuemei Han
D. Donoho
105
563
0
18 Aug 2020
Does label smoothing mitigate label noise?
Michal Lukasik
Srinadh Bhojanapalli
A. Menon
Surinder Kumar
NoLa
108
348
0
05 Mar 2020
When Does Label Smoothing Help?
Rafael Müller
Simon Kornblith
Geoffrey E. Hinton
UQCV
139
1,931
0
06 Jun 2019
The Expressive Power of Neural Networks: A View from the Width
Zhou Lu
Hongming Pu
Feicheng Wang
Zhiqiang Hu
Liwei Wang
67
886
0
08 Sep 2017
On Calibration of Modern Neural Networks
Chuan Guo
Geoff Pleiss
Yu Sun
Kilian Q. Weinberger
UQCV
199
5,774
0
14 Jun 2017
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
497
27,231
0
02 Dec 2015
Provable approximation properties for deep neural networks
Uri Shaham
A. Cloninger
Ronald R. Coifman
91
230
0
24 Sep 2015
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