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Characterizing Structural Regularities of Labeled Data in
  Overparameterized Models

Characterizing Structural Regularities of Labeled Data in Overparameterized Models

8 February 2020
Ziheng Jiang
Chiyuan Zhang
Kunal Talwar
Michael C. Mozer
    TDI
ArXivPDFHTML

Papers citing "Characterizing Structural Regularities of Labeled Data in Overparameterized Models"

18 / 18 papers shown
Title
A Large-Scale Study on Video Action Dataset Condensation
A Large-Scale Study on Video Action Dataset Condensation
Yang Chen
Sheng Guo
Bo Zheng
Limin Wang
DD
77
2
0
13 Mar 2025
The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations
The Silent Majority: Demystifying Memorization Effect in the Presence of Spurious Correlations
Chenyu You
Haocheng Dai
Yifei Min
Jasjeet Sekhon
S. Joshi
James S. Duncan
60
2
0
01 Jan 2025
Why is SAM Robust to Label Noise?
Why is SAM Robust to Label Noise?
Christina Baek
Zico Kolter
Aditi Raghunathan
NoLa
AAML
41
9
0
06 May 2024
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in
  Data Pruning
D2 Pruning: Message Passing for Balancing Diversity and Difficulty in Data Pruning
A. Maharana
Prateek Yadav
Mohit Bansal
19
28
0
11 Oct 2023
A Bag-of-Prototypes Representation for Dataset-Level Applications
A Bag-of-Prototypes Representation for Dataset-Level Applications
Wei-Chih Tu
Weijian Deng
Tom Gedeon
Liang Zheng
38
9
0
23 Mar 2023
Beyond Distribution Shift: Spurious Features Through the Lens of
  Training Dynamics
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics
Nihal Murali
A. Puli
Ke Yu
Rajesh Ranganath
Kayhan Batmanghelich
AAML
37
7
0
18 Feb 2023
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training
  Dynamics
Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics
Shoaib Ahmed Siddiqui
Nitarshan Rajkumar
Tegan Maharaj
David M. Krueger
Sara Hooker
37
27
0
20 Sep 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
23
5
0
19 Sep 2022
The Privacy Onion Effect: Memorization is Relative
The Privacy Onion Effect: Memorization is Relative
Nicholas Carlini
Matthew Jagielski
Chiyuan Zhang
Nicolas Papernot
Andreas Terzis
Florian Tramèr
PILM
MIACV
30
99
0
21 Jun 2022
Selective Classification Via Neural Network Training Dynamics
Selective Classification Via Neural Network Training Dynamics
Stephan Rabanser
Anvith Thudi
Kimia Hamidieh
Adam Dziedzic
Nicolas Papernot
18
21
0
26 May 2022
Better Supervisory Signals by Observing Learning Paths
Better Supervisory Signals by Observing Learning Paths
Yi Ren
Shangmin Guo
Danica J. Sutherland
25
21
0
04 Mar 2022
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
33
28
0
06 Oct 2021
HODA: Hardness-Oriented Detection of Model Extraction Attacks
HODA: Hardness-Oriented Detection of Model Extraction Attacks
A. M. Sadeghzadeh
Amir Mohammad Sobhanian
F. Dehghan
R. Jalili
MIACV
17
7
0
21 Jun 2021
Deep Learning Through the Lens of Example Difficulty
Deep Learning Through the Lens of Example Difficulty
R. Baldock
Hartmut Maennel
Behnam Neyshabur
19
155
0
17 Jun 2021
Meta-Learning to Compositionally Generalize
Meta-Learning to Compositionally Generalize
Henry Conklin
Bailin Wang
Kenny Smith
Ivan Titov
OOD
26
73
0
08 Jun 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
271
2,603
0
04 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
314
5,773
0
29 Apr 2021
Improving Anytime Prediction with Parallel Cascaded Networks and a
  Temporal-Difference Loss
Improving Anytime Prediction with Parallel Cascaded Networks and a Temporal-Difference Loss
Michael L. Iuzzolino
Michael C. Mozer
Samy Bengio
OOD
13
10
0
19 Feb 2021
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