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

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2501.00961
  4. Cited By
Uncovering Memorization Effect in the Presence of Spurious Correlations
v1v2v3 (latest)

Uncovering Memorization Effect in the Presence of Spurious Correlations

Nature Communications (Nat Commun), 2025
1 January 2025
Chenyu You
Haocheng Dai
Yifei Min
Jasjeet Sekhon
S. Joshi
James S. Duncan
ArXiv (abs)PDFHTML

Papers citing "Uncovering Memorization Effect in the Presence of Spurious Correlations"

43 / 43 papers shown
Title
Discovering Influential Neuron Path in Vision Transformers
Discovering Influential Neuron Path in Vision TransformersInternational Conference on Learning Representations (ICLR), 2025
Yifan Wang
Yifei Liu
Yingdong Shi
Chong Li
Anqi Pang
Sibei Yang
Jingyi Yu
Kan Ren
ViT
525
3
0
12 Mar 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond
Qiongxiu Li
Xiaoyu Luo
Yiyi Chen
Johannes Bjerva
455
4
0
10 Mar 2025
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
Tiansheng Wen
Yifei Wang
Zequn Zeng
Zhong Peng
Yudi Su
Xinyang Liu
Bo Chen
Hongwei Liu
Stefanie Jegelka
Chenyu You
CLL
568
8
0
03 Mar 2025
Can Neural Network Memorization Be Localized?
Can Neural Network Memorization Be Localized?International Conference on Machine Learning (ICML), 2023
Pratyush Maini
Michael C. Mozer
Hanie Sedghi
Zachary Chase Lipton
J. Zico Kolter
Chiyuan Zhang
TDI
137
71
0
18 Jul 2023
Simple and Fast Group Robustness by Automatic Feature Reweighting
Simple and Fast Group Robustness by Automatic Feature ReweightingInternational Conference on Machine Learning (ICML), 2023
Shi Qiu
Andres Potapczynski
Pavel Izmailov
A. Wilson
OOD
218
73
0
19 Jun 2023
Mitigating Spurious Correlations in Multi-modal Models during
  Fine-tuning
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuningInternational Conference on Machine Learning (ICML), 2023
Yu Yang
Besmira Nushi
Hamid Palangi
Baharan Mirzasoleiman
216
55
0
08 Apr 2023
Characterizing Datapoints via Second-Split Forgetting
Characterizing Datapoints via Second-Split ForgettingNeural Information Processing Systems (NeurIPS), 2022
Pratyush Maini
Saurabh Garg
Zachary Chase Lipton
J. Zico Kolter
176
38
0
26 Oct 2022
On Feature Learning in the Presence of Spurious Correlations
On Feature Learning in the Presence of Spurious CorrelationsNeural Information Processing Systems (NeurIPS), 2022
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
228
165
0
20 Oct 2022
Contrastive Adapters for Foundation Model Group Robustness
Contrastive Adapters for Foundation Model Group RobustnessNeural Information Processing Systems (NeurIPS), 2022
Michael Zhang
Christopher Ré
VLM
131
80
0
14 Jul 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious
  Correlations
Last Layer Re-Training is Sufficient for Robustness to Spurious CorrelationsInternational Conference on Learning Representations (ICLR), 2022
Polina Kirichenko
Pavel Izmailov
A. Wilson
OOD
281
411
0
06 Apr 2022
Locating and Editing Factual Associations in GPT
Locating and Editing Factual Associations in GPTNeural Information Processing Systems (NeurIPS), 2022
Kevin Meng
David Bau
A. Andonian
Yonatan Belinkov
KELM
811
1,840
0
10 Feb 2022
Simple data balancing achieves competitive worst-group-accuracy
Simple data balancing achieves competitive worst-group-accuracy
Badr Youbi Idrissi
Martín Arjovsky
Mohammad Pezeshki
David Lopez-Paz
301
204
0
27 Oct 2021
Just Train Twice: Improving Group Robustness without Training Group
  Information
Just Train Twice: Improving Group Robustness without Training Group InformationInternational Conference on Machine Learning (ICML), 2021
Emmy Liu
Behzad Haghgoo
Annie S. Chen
Aditi Raghunathan
Pang Wei Koh
Shiori Sagawa
Abigail Z. Jacobs
Chelsea Finn
OOD
235
635
0
19 Jul 2021
Deep Learning Through the Lens of Example Difficulty
Deep Learning Through the Lens of Example DifficultyNeural Information Processing Systems (NeurIPS), 2021
R. Baldock
Hartmut Maennel
Behnam Neyshabur
219
178
0
17 Jun 2021
Robust Representation Learning via Perceptual Similarity Metrics
Robust Representation Learning via Perceptual Similarity MetricsInternational Conference on Machine Learning (ICML), 2021
Saeid Asgari Taghanaki
Kristy Choi
Amir Khasahmadi
Anirudh Goyal
SSL
112
29
0
11 Jun 2021
On the geometry of generalization and memorization in deep neural
  networks
On the geometry of generalization and memorization in deep neural networksInternational Conference on Learning Representations (ICLR), 2021
Cory Stephenson
Suchismita Padhy
Abhinav Ganesh
Yue Hui
Hanlin Tang
SueYeon Chung
TDIAI4CE
125
84
0
30 May 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language SupervisionInternational Conference on Machine Learning (ICML), 2021
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
1.9K
39,552
0
26 Feb 2021
Modifying Memories in Transformer Models
Modifying Memories in Transformer Models
Chen Zhu
A. S. Rawat
Manzil Zaheer
Srinadh Bhojanapalli
Daliang Li
Felix X. Yu
Sanjiv Kumar
KELM
245
241
0
01 Dec 2020
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained
  Classification Problems
No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification ProblemsNeural Information Processing Systems (NeurIPS), 2020
N. Sohoni
Jared A. Dunnmon
Geoffrey Angus
Albert Gu
Christopher Ré
234
274
0
25 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
1.2K
53,038
0
22 Oct 2020
Environment Inference for Invariant Learning
Environment Inference for Invariant Learning
Elliot Creager
J. Jacobsen
R. Zemel
OOD
499
430
0
14 Oct 2020
What Neural Networks Memorize and Why: Discovering the Long Tail via
  Influence Estimation
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence EstimationNeural Information Processing Systems (NeurIPS), 2020
Vitaly Feldman
Chiyuan Zhang
TDI
450
557
0
09 Aug 2020
What shapes feature representations? Exploring datasets, architectures,
  and training
What shapes feature representations? Exploring datasets, architectures, and training
Katherine L. Hermann
Andrew Kyle Lampinen
OOD
200
174
0
22 Jun 2020
The Pitfalls of Simplicity Bias in Neural Networks
The Pitfalls of Simplicity Bias in Neural NetworksNeural Information Processing Systems (NeurIPS), 2020
Harshay Shah
Kaustav Tamuly
Aditi Raghunathan
Prateek Jain
Praneeth Netrapalli
AAML
213
411
0
13 Jun 2020
Evaluation of Neural Architectures Trained with Square Loss vs
  Cross-Entropy in Classification Tasks
Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification TasksInternational Conference on Learning Representations (ICLR), 2020
Like Hui
M. Belkin
UQCVAAMLVLM
327
188
0
12 Jun 2020
An Investigation of Why Overparameterization Exacerbates Spurious
  Correlations
An Investigation of Why Overparameterization Exacerbates Spurious Correlations
Shiori Sagawa
Aditi Raghunathan
Pang Wei Koh
Abigail Z. Jacobs
445
409
0
09 May 2020
Shortcut Learning in Deep Neural Networks
Shortcut Learning in Deep Neural NetworksNature Machine Intelligence (NMI), 2020
Robert Geirhos
J. Jacobsen
Claudio Michaelis
R. Zemel
Wieland Brendel
Matthias Bethge
Felix Wichmann
762
2,370
0
16 Apr 2020
Editable Neural Networks
Editable Neural NetworksInternational Conference on Learning Representations (ICLR), 2020
A. Sinitsin
Vsevolod Plokhotnyuk
Dmitriy V. Pyrkin
Sergei Popov
Artem Babenko
KELM
271
195
0
01 Apr 2020
The Early Phase of Neural Network Training
The Early Phase of Neural Network TrainingInternational Conference on Learning Representations (ICLR), 2020
Jonathan Frankle
D. Schwab
Ari S. Morcos
307
186
0
24 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual RepresentationsInternational Conference on Machine Learning (ICML), 2020
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
1.1K
21,811
0
13 Feb 2020
Characterizing Structural Regularities of Labeled Data in
  Overparameterized Models
Characterizing Structural Regularities of Labeled Data in Overparameterized ModelsInternational Conference on Machine Learning (ICML), 2020
Ziheng Jiang
Chiyuan Zhang
Kunal Talwar
Michael C. Mozer
TDI
256
119
0
08 Feb 2020
What Do Compressed Deep Neural Networks Forget?
What Do Compressed Deep Neural Networks Forget?
Sara Hooker
Aaron Courville
Gregory Clark
Yann N. Dauphin
Andrea Frome
225
200
0
13 Nov 2019
Distribution Density, Tails, and Outliers in Machine Learning: Metrics
  and Applications
Distribution Density, Tails, and Outliers in Machine Learning: Metrics and Applications
Nicholas Carlini
Ulfar Erlingsson
Nicolas Papernot
OODOODD
135
67
0
29 Oct 2019
Does Learning Require Memorization? A Short Tale about a Long Tail
Does Learning Require Memorization? A Short Tale about a Long TailSymposium on the Theory of Computing (STOC), 2019
Vitaly Feldman
TDI
471
573
0
12 Jun 2019
Class-Balanced Loss Based on Effective Number of Samples
Class-Balanced Loss Based on Effective Number of Samples
Huayu Chen
Menglin Jia
Nayeon Lee
Yang Song
Serge J. Belongie
824
2,650
0
16 Jan 2019
An Empirical Study of Example Forgetting during Deep Neural Network
  Learning
An Empirical Study of Example Forgetting during Deep Neural Network Learning
Mariya Toneva
Alessandro Sordoni
Rémi Tachet des Combes
Adam Trischler
Yoshua Bengio
Geoffrey J. Gordon
568
849
0
12 Dec 2018
What is the Effect of Importance Weighting in Deep Learning?
What is the Effect of Importance Weighting in Deep Learning?
Jonathon Byrd
Zachary Chase Lipton
349
503
0
08 Dec 2018
Recognition in Terra Incognita
Recognition in Terra Incognita
Sara Beery
Grant Van Horn
Pietro Perona
296
966
0
13 Jul 2018
Fairness Without Demographics in Repeated Loss Minimization
Fairness Without Demographics in Repeated Loss Minimization
Tatsunori B. Hashimoto
Megha Srivastava
Hongseok Namkoong
Abigail Z. Jacobs
FaML
264
621
0
20 Jun 2018
Demographic Dialectal Variation in Social Media: A Case Study of
  African-American English
Demographic Dialectal Variation in Social Media: A Case Study of African-American English
Su Lin Blodgett
Lisa Green
Brendan O'Connor
148
380
0
31 Aug 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.8K
19,133
0
16 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
3.4K
213,467
0
10 Dec 2015
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the WildIEEE International Conference on Computer Vision (ICCV), 2014
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
1.2K
9,081
0
28 Nov 2014
1