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2210.15031
Cited By
Characterizing Datapoints via Second-Split Forgetting
26 October 2022
Pratyush Maini
Saurabh Garg
Zachary Chase Lipton
J. Zico Kolter
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Papers citing
"Characterizing Datapoints via Second-Split Forgetting"
26 / 26 papers shown
Title
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
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
Chen Cheng
John C. Duchi
Rohith Kuditipudi
47
12
0
20 Feb 2022
Simple data balancing achieves competitive worst-group-accuracy
Badr Youbi Idrissi
Martín Arjovsky
Mohammad Pezeshki
David Lopez-Paz
118
183
0
27 Oct 2021
Deep Learning Through the Lens of Example Difficulty
R. Baldock
Hartmut Maennel
Behnam Neyshabur
85
161
0
17 Jun 2021
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
Zeyuan Allen-Zhu
Yuanzhi Li
FedML
151
376
0
17 Dec 2020
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
Vitaly Feldman
Chiyuan Zhang
TDI
225
470
0
09 Aug 2020
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
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
Niladri S. Chatterji
Philip M. Long
83
109
0
25 Apr 2020
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
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
Geoff Pleiss
Tianyi Zhang
Ethan R. Elenberg
Kilian Q. Weinberger
NoLa
94
274
0
28 Jan 2020
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
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
Curtis G. Northcutt
Lu Jiang
Isaac L. Chuang
NoLa
197
703
0
31 Oct 2019
Distribution Density, Tails, and Outliers in Machine Learning: Metrics and Applications
Nicholas Carlini
Ulfar Erlingsson
Nicolas Papernot
OOD
OODD
60
61
0
29 Oct 2019
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
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
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
L. Smith
286
1,035
0
26 Mar 2018
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
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
294
14,032
0
19 Nov 2015
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
257
8,433
0
28 Nov 2014
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