ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2006.06527
  4. Cited By
MMA Regularization: Decorrelating Weights of Neural Networks by
  Maximizing the Minimal Angles
v1v2 (latest)

MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles

6 June 2020
Zhennan Wang
Canqun Xiang
Wenbin Zou
Chen Xu
ArXiv (abs)PDFHTMLGithub (12★)

Papers citing "MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles"

13 / 13 papers shown
OrtSAE: Orthogonal Sparse Autoencoders Uncover Atomic Features
OrtSAE: Orthogonal Sparse Autoencoders Uncover Atomic Features
Anton Korznikov
Andrey V. Galichin
Alexey Dontsov
Oleg Y. Rogov
Elena Tutubalina
Ivan Oseledets
136
0
0
26 Sep 2025
Angular Dispersion Accelerates $k$-Nearest Neighbors Machine Translation
Angular Dispersion Accelerates kkk-Nearest Neighbors Machine Translation
Evgeniia Tokarchuk
S. Troshin
Vlad Niculae
105
0
0
20 Sep 2025
Beyond topography: Topographic regularization improves robustness and reshapes representations in convolutional neural networks
Beyond topography: Topographic regularization improves robustness and reshapes representations in convolutional neural networks
Nhut Truong
Uri Hasson
105
0
0
31 Jul 2025
Preventing Model Collapse in Deep Canonical Correlation Analysis by
  Noise Regularization
Preventing Model Collapse in Deep Canonical Correlation Analysis by Noise RegularizationNeural Information Processing Systems (NeurIPS), 2024
Junlin He
Jinxiao Du
Susu Xu
Wei Ma
209
2
0
01 Nov 2024
TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial
  Robustness and Generalization Ability
TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability
Fengji Ma
Li Liu
Hei Victor Cheng
VLM
246
2
0
27 May 2024
Robust Ensemble Person Re-Identification via Orthogonal Fusion with
  Occlusion Handling
Robust Ensemble Person Re-Identification via Orthogonal Fusion with Occlusion Handling
Syeda Nyma Ferdous
Xin Li
275
0
0
29 Mar 2024
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed
  Data
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed DataInternational Conference on Learning Representations (ICLR), 2024
Zikai Xiao
Zihan Chen
Liyinglan Liu
Yang Feng
Jian Wu
Wanlu Liu
Qiufeng Wang
Howard H. Yang
Zuo-Qiang Liu
FedML
285
12
0
17 Jan 2024
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?
Can We Evaluate Domain Adaptation Models Without Target-Domain Labels?International Conference on Learning Representations (ICLR), 2023
Jianfei Yang
Hanjie Qian
Yuecong Xu
Kai Wang
Lihua Xie
304
14
0
30 May 2023
Inducing Neural Collapse in Deep Long-tailed Learning
Inducing Neural Collapse in Deep Long-tailed LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Xuantong Liu
Jianfeng Zhang
Tianyang Hu
He Cao
Lujia Pan
Xingtai Lv
164
38
0
24 Feb 2023
Improving GANs for Long-Tailed Data through Group Spectral
  Regularization
Improving GANs for Long-Tailed Data through Group Spectral RegularizationEuropean Conference on Computer Vision (ECCV), 2022
Harsh Rangwani
Naman Jaswani
Tejan Karmali
Varun Jampani
R. Venkatesh Babu
202
25
0
21 Aug 2022
Maximum Class Separation as Inductive Bias in One Matrix
Maximum Class Separation as Inductive Bias in One MatrixNeural Information Processing Systems (NeurIPS), 2022
Tejaswi Kasarla
Gertjan J. Burghouts
Max van Spengler
Elise van der Pol
Rita Cucchiara
Pascal Mettes
276
25
0
17 Jun 2022
Adversarial Parameter Attack on Deep Neural Networks
Adversarial Parameter Attack on Deep Neural NetworksInternational Conference on Machine Learning (ICML), 2022
Lijia Yu
Yihan Wang
Xiao-Shan Gao
AAML
205
9
0
20 Mar 2022
Robust and Information-theoretically Safe Bias Classifier against
  Adversarial Attacks
Robust and Information-theoretically Safe Bias Classifier against Adversarial Attacks
Lijia Yu
Xiao-Shan Gao
AAML
341
5
0
08 Nov 2021
1