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Spectral Norm Regularization for Improving the Generalizability of Deep
  Learning

Spectral Norm Regularization for Improving the Generalizability of Deep Learning

31 May 2017
Yuichi Yoshida
Takeru Miyato
ArXiv (abs)PDFHTML

Papers citing "Spectral Norm Regularization for Improving the Generalizability of Deep Learning"

50 / 211 papers shown
Nearest Neighbor Projection Removal Adversarial Training
Nearest Neighbor Projection Removal Adversarial Training
Himanshu Singh
A. V. Subramanyam
Shivank Rajput
Mohan Kankanhalli
AAML
272
0
0
10 Apr 2026
SineProject: Machine Unlearning for Stable Vision Language Alignment
SineProject: Machine Unlearning for Stable Vision Language Alignment
Arpit Garg
Hemanth Saratchandran
Simon Lucey
CLLMU
332
0
0
23 Nov 2025
Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement Learning
Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement Learning
Kevin Huang
Rosario Scalise
Cleah Winston
Ayush Agrawal
Yunchu Zhang
...
Byron Boots
Benjamin Burchfiel
Hongkai Dai
Masha Itkina
Paarth Shah
OffRL
345
1
0
22 Oct 2025
Position: Many generalization measures for deep learning are fragile
Position: Many generalization measures for deep learning are fragile
Shuofeng Zhang
A. Louis
AAML
366
0
0
21 Oct 2025
Scalable Energy-Based Models via Adversarial Training: Unifying Discrimination and Generation
Scalable Energy-Based Models via Adversarial Training: Unifying Discrimination and Generation
Xuwang Yin
Claire Zhang
Julie Steele
Nir Shavit
T. T. Wang
536
0
0
13 Oct 2025
NurseLLM: The First Specialized Language Model for Nursing
NurseLLM: The First Specialized Language Model for Nursing
Md Tawkat Islam Khondaker
Julia Harrington
Shady Shehata
LM&MA
222
0
0
08 Oct 2025
Reconcile Certified Robustness and Accuracy for DNN-based Smoothed Majority Vote Classifier
Reconcile Certified Robustness and Accuracy for DNN-based Smoothed Majority Vote Classifier
Gaojie Jin
Xinping Yi
Xiaowei Huang
AAML
177
1
0
30 Sep 2025
Spectral Collapse Drives Loss of Plasticity in Deep Continual Learning
Spectral Collapse Drives Loss of Plasticity in Deep Continual Learning
Naicheng He
Kaicheng Guo
Arjun Prakash
Saket Tiwari
Ruo Yu Tao
Tyrone Serapio
Amy Greenwald
George Konidaris
CLL
234
0
0
26 Sep 2025
Closed-form $\ell_r$ norm scaling with data for overparameterized linear regression and diagonal linear networks under $\ell_p$ bias
Closed-form ℓr\ell_rℓr​ norm scaling with data for overparameterized linear regression and diagonal linear networks under ℓp\ell_pℓp​ bias
Shuofeng Zhang
A. Louis
276
0
0
25 Sep 2025
A Unified Noise-Curvature View of Loss of Trainability
A Unified Noise-Curvature View of Loss of Trainability
Gunbir Singh Baveja
Alex Lewandowski
Mark Schmidt
251
0
0
24 Sep 2025
RL Fine-Tuning Heals OOD Forgetting in SFT
RL Fine-Tuning Heals OOD Forgetting in SFT
Hangzhan Jin
Sitao Luan
Sicheng Lyu
Guillaume Rabusseau
Reihaneh Rabbany
Doina Precup
Mohammad Hamdaqa
CLLLRM
231
11
0
08 Sep 2025
Distance-informed Neural Processes
Distance-informed Neural Processes
Aishwarya Venkataramanan
Joachim Denzler
UQCVBDL
199
1
0
26 Aug 2025
S3LoRA: Safe Spectral Sharpness-Guided Pruning in Adaptation of Agent Planner
S3LoRA: Safe Spectral Sharpness-Guided Pruning in Adaptation of Agent Planner
Shuang Ao
Gopal Rumchurn
185
1
0
20 Aug 2025
Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis
Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis
Anzhe Cheng
Chenzhong Yin
Mingxi Cheng
Shukai Duan
Shahin Nazarian
Paul Bogdan
339
0
0
02 Aug 2025
Towards Higher Effective Rank in Parameter-efficient Fine-tuning using Khatri--Rao Product
Towards Higher Effective Rank in Parameter-efficient Fine-tuning using Khatri--Rao Product
Paul Albert
Frederic Z. Zhang
Hemanth Saratchandran
Anton van den Hengel
Ehsan Abbasnejad
284
6
0
01 Aug 2025
Low-Rank Tensor Recovery via Variational Schatten-p Quasi-Norm and Jacobian Regularization
Low-Rank Tensor Recovery via Variational Schatten-p Quasi-Norm and Jacobian Regularization
Zhengyun Cheng
Ruizhe Zhang
Guanwen Zhang
Y. F. Xu
Xiangyang Ji
Wei Zhou
256
0
0
27 Jun 2025
Optimization-Induced Dynamics of Lipschitz Continuity in Neural Networks
Optimization-Induced Dynamics of Lipschitz Continuity in Neural Networks
Róisín Luo
James McDermott
Christian Gagné
Qiang Sun
C. O'Riordan
205
0
0
23 Jun 2025
Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias
Eigenspectrum Analysis of Neural Networks without Aspect Ratio Bias
Yuanzhe Hu
Kinshuk Goel
Vlad Killiakov
Yaoqing Yang
513
5
0
06 Jun 2025
Smooth Model Compression without Fine-Tuning
Smooth Model Compression without Fine-Tuning
Christina Runkel
Natacha Kuete Meli
Jovita Lukasik
A. Biguri
Carola-Bibiane Schönlieb
Michael Moeller
307
0
0
30 May 2025
Recurrent Self-Attention Dynamics: An Energy-Agnostic Perspective from Jacobians
Recurrent Self-Attention Dynamics: An Energy-Agnostic Perspective from Jacobians
Akiyoshi Tomihari
Ryo Karakida
467
2
0
26 May 2025
Zero-Trust Mobility-Aware Authentication Framework for Secure Vehicular Fog Computing Networks
Zero-Trust Mobility-Aware Authentication Framework for Secure Vehicular Fog Computing Networks
Taimoor Ahmad
173
0
0
21 May 2025
Approximation theory for 1-Lipschitz ResNets
Approximation theory for 1-Lipschitz ResNets
Davide Murari
Takashi Furuya
Carola-Bibiane Schönlieb
473
4
0
17 May 2025
Spectral Normalization for Lipschitz-Constrained Policies on Learning Humanoid Locomotion
Spectral Normalization for Lipschitz-Constrained Policies on Learning Humanoid Locomotion
Jaeyong Shin
Woohyun Cha
Donghyeon Kim
Junhyeok Cha
Jaeheung Park
270
3
0
11 Apr 2025
Variance Control via Weight Rescaling in LLM Pre-training
Variance Control via Weight Rescaling in LLM Pre-training
Louis Owen
Abhay Kumar
Nilabhra Roy Chowdhury
Fabian Güra
263
2
0
21 Mar 2025
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers
Gaojie Jin
Tianjin Huang
Ronghui Mu
Xiaowei Huang
AAML
395
0
0
21 Mar 2025
Cooperative Bearing-Only Target Pursuit via Multiagent Reinforcement Learning: Design and Experiment
Cooperative Bearing-Only Target Pursuit via Multiagent Reinforcement Learning: Design and Experiment
Jianan Li
Liang Luo
Susheng Ding
Shiliang Guo
Shiyu Zhao
499
2
0
11 Mar 2025
Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning
Evidence on the Regularisation Properties of Maximum-Entropy Reinforcement Learning
Rémy Hosseinkhan Boucher
Onofrio Semeraro
L. Mathelin
415
2
0
28 Jan 2025
Enhancing Robust Fairness via Confusional Spectral Regularization
Enhancing Robust Fairness via Confusional Spectral RegularizationInternational Conference on Learning Representations (ICLR), 2025
Gaojie Jin
Sihao Wu
Jiaxu Liu
Tianjin Huang
Ronghui Mu
576
6
0
22 Jan 2025
Learn A Flexible Exploration Model for Parameterized Action Markov Decision Processes
Learn A Flexible Exploration Model for Parameterized Action Markov Decision Processes
Zijian Wang
Bin Wang
Mingwen Shao
Hongbo Dou
Boxiang Tao
323
0
0
06 Jan 2025
Soft Diamond Regularizers for Deep Learning
Soft Diamond Regularizers for Deep Learning
Olaoluwa Adigun
Bart Kosko
160
0
0
30 Dec 2024
Multi-Surrogate-Teacher Assistance for Representation Alignment in
  Fingerprint-based Indoor Localization
Multi-Surrogate-Teacher Assistance for Representation Alignment in Fingerprint-based Indoor LocalizationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Son Minh Nguyen
Linh Duy Tran
Duc Viet Le
Paul J. M Havinga
219
1
0
13 Dec 2024
Achieving Domain-Independent Certified Robustness via Knowledge
  Continuity
Achieving Domain-Independent Certified Robustness via Knowledge ContinuityNeural Information Processing Systems (NeurIPS), 2024
Alan Sun
Chiyu Ma
Kenneth Ge
Soroush Vosoughi
324
2
0
03 Nov 2024
Preventing Dimensional Collapse in Self-Supervised Learning via
  Orthogonality Regularization
Preventing Dimensional Collapse in Self-Supervised Learning via Orthogonality RegularizationNeural Information Processing Systems (NeurIPS), 2024
Junlin He
Jinxiao Du
Wei Ma
SSL
391
9
0
01 Nov 2024
Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz
  Constraints
Rethinking Deep Thinking: Stable Learning of Algorithms using Lipschitz ConstraintsNeural Information Processing Systems (NeurIPS), 2024
Jay Bear
Adam Prugel-Bennett
Jonathon S. Hare
199
8
0
30 Oct 2024
Estimating Neural Network Robustness via Lipschitz Constant and
  Architecture Sensitivity
Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity
Abulikemu Abuduweili
Changliu Liu
243
2
0
30 Oct 2024
AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved
  Layer-wise Pruning of Large Language Models
AlphaPruning: Using Heavy-Tailed Self Regularization Theory for Improved Layer-wise Pruning of Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024
Haiquan Lu
Yefan Zhou
Shiwei Liu
Zhangyang Wang
Michael W. Mahoney
Yaoqing Yang
186
33
0
14 Oct 2024
Mitigating Memorization In Language Models
Mitigating Memorization In Language Models
Mansi Sakarvadia
Aswathy Ajith
Arham Khan
Nathaniel Hudson
Caleb Geniesse
Kyle Chard
Yaoqing Yang
Ian Foster
Michael W. Mahoney
KELMMU
469
11
0
03 Oct 2024
Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers
Tight and Efficient Upper Bound on Spectral Norm of Convolutional LayersEuropean Conference on Computer Vision (ECCV), 2024
Ekaterina Grishina
Mikhail Gorbunov
Maxim Rakhuba
AAML
338
6
0
18 Sep 2024
Learning Causally Invariant Reward Functions from Diverse Demonstrations
Learning Causally Invariant Reward Functions from Diverse Demonstrations
Ivan Ovinnikov
Eugene Bykovets
J. M. Buhmann
CML
348
2
0
12 Sep 2024
Enhancing One-shot Pruned Pre-trained Language Models through
  Sparse-Dense-Sparse Mechanism
Enhancing One-shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse MechanismInternational Conference on Computational Linguistics (COLING), 2024
Guanchen Li
Xiandong Zhao
Lian Liu
Zeping Li
Dong Li
Lu Tian
Jie He
Ashish Sirasao
E. Barsoum
VLM
225
2
0
20 Aug 2024
Do Sharpness-based Optimizers Improve Generalization in Medical Image
  Analysis?
Do Sharpness-based Optimizers Improve Generalization in Medical Image Analysis?IEEE Access (IEEE Access), 2024
Mohamed Hassan
Aleksandar Vakanski
Min Xian
AAMLMedIm
435
3
0
07 Aug 2024
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack
OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack
Kuo Gai
Sicong Wang
Shihua Zhang
AAML
332
0
0
01 Aug 2024
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
Hao-ming Lin
Wenhao Ding
Jian Chen
Laixi Shi
Jiacheng Zhu
Yue Liu
Ding Zhao
OffRLCML
589
3
0
15 Jul 2024
Zero-Shot Class Unlearning in CLIP with Synthetic Samples
Zero-Shot Class Unlearning in CLIP with Synthetic Samples
A. Kravets
V. Namboodiri
VLMMU
265
14
0
10 Jul 2024
Weight Clipping for Deep Continual and Reinforcement Learning
Weight Clipping for Deep Continual and Reinforcement Learning
Mohamed Elsayed
Qingfeng Lan
Clare Lyle
A. Rupam Mahmood
357
24
0
01 Jul 2024
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness
Erh-Chung Chen
Pin-Yu Chen
I-Hsin Chung
Che-Rung Lee
345
4
0
28 Jun 2024
1-Lipschitz Neural Distance Fields
1-Lipschitz Neural Distance Fields
Guillaume Coiffier
Louis Bethune
336
9
0
14 Jun 2024
Learning Continually by Spectral Regularization
Learning Continually by Spectral Regularization
Alex Lewandowski
Saurabh Kumar
Dale Schuurmans
András Gyorgy
Marlos C. Machado
CLL
311
23
0
10 Jun 2024
Neural Gaussian Scale-Space Fields
Neural Gaussian Scale-Space Fields
Felix Mujkanovic
Ntumba Elie Nsampi
Christian Theobalt
Hans-Peter Seidel
Thomas Leimkuhler
261
8
0
31 May 2024
Spectral regularization for adversarially-robust representation learning
Spectral regularization for adversarially-robust representation learning
Sheng Yang
Jacob A. Zavatone-Veth
Cengiz Pehlevan
AAMLOOD
403
3
0
27 May 2024
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