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Characterizing Datapoints via Second-Split Forgetting

Characterizing Datapoints via Second-Split Forgetting

26 October 2022
Pratyush Maini
Saurabh Garg
Zachary Chase Lipton
J. Zico Kolter
ArXiv (abs)PDFHTMLGithub (15★)

Papers citing "Characterizing Datapoints via Second-Split Forgetting"

26 / 26 papers shown
Title
Early Stopping Against Label Noise Without Validation Data
Early Stopping Against Label Noise Without Validation Data
Suqin Yuan
Lei Feng
Tongliang Liu
NoLa
270
19
0
11 Feb 2025
Uncovering Memorization Effect in the Presence of Spurious Correlations
Uncovering Memorization Effect in the Presence of Spurious Correlations
Chenyu You
Haocheng Dai
Yifei Min
Jasjeet Sekhon
S. Joshi
James S. Duncan
139
3
0
01 Jan 2025
Memorize to Generalize: on the Necessity of Interpolation in High
  Dimensional Linear Regression
Memorize to Generalize: on the Necessity of Interpolation in High Dimensional Linear Regression
Chen Cheng
John C. Duchi
Rohith Kuditipudi
47
12
0
20 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
120
183
0
27 Oct 2021
Deep Learning Through the Lens of Example Difficulty
Deep Learning Through the Lens of Example Difficulty
R. Baldock
Hartmut Maennel
Behnam Neyshabur
87
161
0
17 Jun 2021
RATT: Leveraging Unlabeled Data to Guarantee Generalization
RATT: Leveraging Unlabeled Data to Guarantee Generalization
Saurabh Garg
Sivaraman Balakrishnan
J. Zico Kolter
Zachary Chase Lipton
77
30
0
01 May 2021
Towards Understanding Ensemble, Knowledge Distillation and
  Self-Distillation in Deep Learning
Towards Understanding Ensemble, Knowledge Distillation and Self-Distillation in Deep Learning
Zeyuan Allen-Zhu
Yuanzhi Li
FedML
151
376
0
17 Dec 2020
When is Memorization of Irrelevant Training Data Necessary for
  High-Accuracy Learning?
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning?
Gavin Brown
Mark Bun
Vitaly Feldman
Adam D. Smith
Kunal Talwar
311
100
0
11 Dec 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 Estimation
Vitaly Feldman
Chiyuan Zhang
TDI
228
470
0
09 Aug 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels
Early-Learning Regularization Prevents Memorization of Noisy Labels
Sheng Liu
Jonathan Niles-Weed
N. Razavian
C. Fernandez‐Granda
NoLa
106
569
0
30 Jun 2020
The Pitfalls of Simplicity Bias in Neural Networks
The Pitfalls of Simplicity Bias in Neural Networks
Harshay Shah
Kaustav Tamuly
Aditi Raghunathan
Prateek Jain
Praneeth Netrapalli
AAML
72
364
0
13 Jun 2020
Finite-sample Analysis of Interpolating Linear Classifiers in the
  Overparameterized Regime
Finite-sample Analysis of Interpolating Linear Classifiers in the Overparameterized Regime
Niladri S. Chatterji
Philip M. Long
83
109
0
25 Apr 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
DivideMix: Learning with Noisy Labels as Semi-supervised Learning
Junnan Li
R. Socher
Guosheng Lin
NoLa
110
1,034
0
18 Feb 2020
Characterizing Structural Regularities of Labeled Data in
  Overparameterized Models
Characterizing Structural Regularities of Labeled Data in Overparameterized Models
Ziheng Jiang
Chiyuan Zhang
Kunal Talwar
Michael C. Mozer
TDI
61
104
0
08 Feb 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking
Identifying Mislabeled Data using the Area Under the Margin Ranking
Geoff Pleiss
Tianyi Zhang
Ethan R. Elenberg
Kilian Q. Weinberger
NoLa
94
274
0
28 Jan 2020
Big Transfer (BiT): General Visual Representation Learning
Big Transfer (BiT): General Visual Representation Learning
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
J. Puigcerver
Jessica Yung
Sylvain Gelly
N. Houlsby
MQ
288
1,211
0
24 Dec 2019
Distributionally Robust Neural Networks for Group Shifts: On the
  Importance of Regularization for Worst-Case Generalization
Distributionally Robust Neural Networks for Group Shifts: On the Importance of Regularization for Worst-Case Generalization
Shiori Sagawa
Pang Wei Koh
Tatsunori B. Hashimoto
Percy Liang
OOD
108
1,249
0
20 Nov 2019
Confident Learning: Estimating Uncertainty in Dataset Labels
Confident Learning: Estimating Uncertainty in Dataset Labels
Curtis G. Northcutt
Lu Jiang
Isaac L. Chuang
NoLa
199
703
0
31 Oct 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
60
61
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 Tail
Vitaly Feldman
TDI
142
502
0
12 Jun 2019
Understanding and Utilizing Deep Neural Networks Trained with Noisy
  Labels
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
Pengfei Chen
B. Liao
Guangyong Chen
Shengyu Zhang
NoLa
80
388
0
13 May 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
134
741
0
12 Dec 2018
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
286
1,035
0
26 Mar 2018
A Closer Look at Memorization in Deep Networks
A Closer Look at Memorization in Deep Networks
Devansh Arpit
Stanislaw Jastrzebski
Nicolas Ballas
David M. Krueger
Emmanuel Bengio
...
Tegan Maharaj
Asja Fischer
Aaron Courville
Yoshua Bengio
Simon Lacoste-Julien
TDI
131
1,829
0
16 Jun 2017
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GANOOD
300
14,032
0
19 Nov 2015
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
259
8,433
0
28 Nov 2014
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