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Trivial or impossible -- dichotomous data difficulty masks model
  differences (on ImageNet and beyond)
v1v2v3 (latest)

Trivial or impossible -- dichotomous data difficulty masks model differences (on ImageNet and beyond)

12 October 2021
Kristof Meding
Luca M. Schulze Buschoff
Robert Geirhos
Felix Wichmann
ArXiv (abs)PDFHTML

Papers citing "Trivial or impossible -- dichotomous data difficulty masks model differences (on ImageNet and beyond)"

13 / 13 papers shown
Title
Data Pruning by Information Maximization
Data Pruning by Information Maximization
Haoru Tan
Sitong Wu
Wei Huang
Shizhen Zhao
Xiaojuan Qi
59
1
0
02 Jun 2025
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies
Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies
Chenruo Liu
Kenan Tang
Yao Qin
Qi Lei
20
0
0
28 May 2025
PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity
PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity
Mustafa Burak Gurbuz
Xingyu Zheng
C. Dovrolis
OOD
92
0
0
07 Apr 2025
Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation
Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation
Shaobo Wang
Yantai Yang
Qilong Wang
Kaixin Li
Linfeng Zhang
Junchi Yan
DD
126
6
0
22 Aug 2024
A Lightweight Measure of Classification Difficulty from Application
  Dataset Characteristics
A Lightweight Measure of Classification Difficulty from Application Dataset Characteristics
Bryan Bo Cao
Abhinav Sharma
Lawrence O'Gorman
Michael J. Coss
Shubham Jain
87
2
0
09 Apr 2024
How to Train Data-Efficient LLMs
How to Train Data-Efficient LLMs
Noveen Sachdeva
Benjamin Coleman
Wang-Cheng Kang
Jianmo Ni
Lichan Hong
Ed H. Chi
James Caverlee
Julian McAuley
D. Cheng
93
64
0
15 Feb 2024
Are Deep Neural Networks Adequate Behavioural Models of Human Visual
  Perception?
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception?
Felix Wichmann
Robert Geirhos
57
27
0
26 May 2023
Similarity of Neural Architectures using Adversarial Attack
  Transferability
Similarity of Neural Architectures using Adversarial Attack Transferability
Ian Ryu
Dongyoon Han
Byeongho Heo
Song Park
Sanghyuk Chun
Jong-Seok Lee
AAML
125
2
0
20 Oct 2022
Random initialisations performing above chance and how to find them
Random initialisations performing above chance and how to find them
Frederik Benzing
Simon Schug
Robert Meier
J. Oswald
Yassir Akram
Nicolas Zucchet
Laurence Aitchison
Angelika Steger
ODL
117
26
0
15 Sep 2022
On the Strong Correlation Between Model Invariance and Generalization
On the Strong Correlation Between Model Invariance and Generalization
Weijian Deng
Stephen Gould
Liang Zheng
OOD
91
19
0
14 Jul 2022
Beyond neural scaling laws: beating power law scaling via data pruning
Beyond neural scaling laws: beating power law scaling via data pruning
Ben Sorscher
Robert Geirhos
Shashank Shekhar
Surya Ganguli
Ari S. Morcos
113
447
0
29 Jun 2022
A Tour of Visualization Techniques for Computer Vision Datasets
A Tour of Visualization Techniques for Computer Vision Datasets
B. Alsallakh
P. Bhattacharya
V. Feng
Narine Kokhlikyan
Orion Reblitz-Richardson
Rahul Rajan
David Yan
47
3
0
19 Apr 2022
Partial success in closing the gap between human and machine vision
Partial success in closing the gap between human and machine vision
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Tizian Thieringer
Matthias Bethge
Felix Wichmann
Wieland Brendel
VLMAAML
107
231
0
14 Jun 2021
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