ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1906.04892
  4. Cited By
Regularizing Neural Networks via Minimizing Hyperspherical Energy

Regularizing Neural Networks via Minimizing Hyperspherical Energy

12 June 2019
Rongmei Lin
Weiyang Liu
Zhen Liu
Chen Feng
Zhiding Yu
James M. Rehg
Li Xiong
Le Song
ArXivPDFHTML

Papers citing "Regularizing Neural Networks via Minimizing Hyperspherical Energy"

13 / 13 papers shown
Title
Generalizing and Decoupling Neural Collapse via Hyperspherical
  Uniformity Gap
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
Weiyang Liu
L. Yu
Adrian Weller
Bernhard Schölkopf
37
18
0
11 Mar 2023
Continual Learning by Modeling Intra-Class Variation
Continual Learning by Modeling Intra-Class Variation
L. Yu
Tianyang Hu
Lanqing Hong
Zhen Liu
Adrian Weller
Weiyang Liu
CLL
48
12
0
11 Oct 2022
Data-Efficient Learning via Minimizing Hyperspherical Energy
Data-Efficient Learning via Minimizing Hyperspherical Energy
Xiaofeng Cao
Weiyang Liu
Ivor W. Tsang
19
8
0
30 Jun 2022
Maximum Class Separation as Inductive Bias in One Matrix
Maximum Class Separation as Inductive Bias in One Matrix
Tejaswi Kasarla
Gertjan J. Burghouts
Max van Spengler
Elise van der Pol
Rita Cucchiara
Pascal Mettes
26
22
0
17 Jun 2022
Hyperspherical Consistency Regularization
Hyperspherical Consistency Regularization
Cheng Tan
Zhangyang Gao
Lirong Wu
Siyuan Li
Stan Z. Li
36
25
0
02 Jun 2022
The Principle of Diversity: Training Stronger Vision Transformers Calls
  for Reducing All Levels of Redundancy
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy
Tianlong Chen
Zhenyu (Allen) Zhang
Yu Cheng
Ahmed Hassan Awadallah
Zhangyang Wang
ViT
41
37
0
12 Mar 2022
Iterative Teaching by Label Synthesis
Iterative Teaching by Label Synthesis
Weiyang Liu
Zhen Liu
Hanchen Wang
Liam Paull
Bernhard Schölkopf
Adrian Weller
48
16
0
27 Oct 2021
SphereFace2: Binary Classification is All You Need for Deep Face
  Recognition
SphereFace2: Binary Classification is All You Need for Deep Face Recognition
Yandong Wen
Weiyang Liu
Adrian Weller
Bhiksha Raj
Rita Singh
CVBM
MQ
24
53
0
03 Aug 2021
Learning with Hyperspherical Uniformity
Learning with Hyperspherical Uniformity
Weiyang Liu
Rongmei Lin
Zhen Liu
Li Xiong
Bernhard Schölkopf
Adrian Weller
37
35
0
02 Mar 2021
Orthogonal Over-Parameterized Training
Orthogonal Over-Parameterized Training
Weiyang Liu
Rongmei Lin
Zhen Liu
James M. Rehg
Liam Paull
Li Xiong
Le Song
Adrian Weller
32
41
0
09 Apr 2020
Angular Visual Hardness
Angular Visual Hardness
Beidi Chen
Weiyang Liu
Zhiding Yu
Jan Kautz
Anshumali Shrivastava
Animesh Garg
Anima Anandkumar
AAML
43
51
0
04 Dec 2019
Neural Similarity Learning
Neural Similarity Learning
Weiyang Liu
Zhen Liu
James M. Rehg
Le Song
27
29
0
28 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
362
11,700
0
09 Mar 2017
1