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. 2004.13954
  4. Cited By
Rethink the Connections among Generalization, Memorization and the
  Spectral Bias of DNNs
v1v2 (latest)

Rethink the Connections among Generalization, Memorization and the Spectral Bias of DNNs

International Joint Conference on Artificial Intelligence (IJCAI), 2020
29 April 2020
Xiao Zhang
Haoyi Xiong
Dongrui Wu
ArXiv (abs)PDFHTML

Papers citing "Rethink the Connections among Generalization, Memorization and the Spectral Bias of DNNs"

10 / 10 papers shown
Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class Hierarchy
Hypernym Bias: Unraveling Deep Classifier Training Dynamics through the Lens of Class HierarchyInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025
Roman Malashin
Valeria Yachnaya
Alexander Mullin
431
1
0
17 Feb 2025
Defending Membership Inference Attacks via Privacy-aware Sparsity Tuning
Defending Membership Inference Attacks via Privacy-aware Sparsity Tuning
Qiang Hu
Hengxiang Zhang
Jianguo Huang
394
3
0
09 Oct 2024
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss
Zhenlong Liu
Lei Feng
Huiping Zhuang
Xiaofeng Cao
Jianguo Huang
373
6
0
08 Feb 2024
Leveraging Unlabeled Data to Track Memorization
Leveraging Unlabeled Data to Track MemorizationInternational Conference on Learning Representations (ICLR), 2022
Mahsa Forouzesh
Hanie Sedghi
Patrick Thiran
NoLaTDI
250
4
0
08 Dec 2022
Lazy vs hasty: linearization in deep networks impacts learning schedule
  based on example difficulty
Lazy vs hasty: linearization in deep networks impacts learning schedule based on example difficulty
Thomas George
Guillaume Lajoie
A. Baratin
283
7
0
19 Sep 2022
On the Activation Function Dependence of the Spectral Bias of Neural
  Networks
On the Activation Function Dependence of the Spectral Bias of Neural Networks
Q. Hong
Jonathan W. Siegel
Qinyan Tan
Jinchao Xu
397
41
0
09 Aug 2022
Multi-scale Feature Learning Dynamics: Insights for Double Descent
Multi-scale Feature Learning Dynamics: Insights for Double DescentInternational Conference on Machine Learning (ICML), 2021
Mohammad Pezeshki
Amartya Mitra
Yoshua Bengio
Guillaume Lajoie
273
32
0
06 Dec 2021
Spectral Bias in Practice: The Role of Function Frequency in
  Generalization
Spectral Bias in Practice: The Role of Function Frequency in Generalization
Sara Fridovich-Keil
Raphael Gontijo-Lopes
Rebecca Roelofs
362
49
0
06 Oct 2021
Face.evoLVe: A High-Performance Face Recognition Library
Face.evoLVe: A High-Performance Face Recognition Library
Qingzhong Wang
Pengfei Zhang
Haoyi Xiong
Jian-jun Zhao
CVBM
335
73
0
19 Jul 2021
Optimization Variance: Exploring Generalization Properties of DNNs
Optimization Variance: Exploring Generalization Properties of DNNs
Xiao Zhang
Dongrui Wu
Haoyi Xiong
Bo Dai
248
5
0
03 Jun 2021
1
Page 1 of 1