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

12 October 2021

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

7 / 7 papers shown

Title
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? Felix Wichmann Robert Geirhos 32 25 0 26 May 2023
ModelDiff: A Framework for Comparing Learning Algorithms Harshay Shah Sung Min Park Andrew Ilyas A. Madry SyDa 51 26 0 22 Nov 2022
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 35 24 0 15 Sep 2022
On the Strong Correlation Between Model Invariance and Generalization Weijian Deng Stephen Gould Liang Zheng OOD 32 16 0 14 Jul 2022
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 VLM AAML 48 221 0 14 Jun 2021
On the surprising similarities between supervised and self-supervised models Robert Geirhos Kantharaju Narayanappa Benjamin Mitzkus Matthias Bethge Felix Wichmann Wieland Brendel OOD SSL DRL 77 46 0 16 Oct 2020
Estimating Example Difficulty Using Variance of Gradients Chirag Agarwal Daniel D'souza Sara Hooker 208 107 0 26 Aug 2020