ResearchTrend.AI
Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation lag

Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation lag

Lukas Huber
Fred W. Mast
Felix A. Wichmann
ArXivPDFHTML

Papers citing "Comparing supervised learning dynamics: Deep neural networks match human data efficiency but show a generalisation lag"

4 / 4 papers shown
Title
The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks
The developmental trajectory of object recognition robustness: children are like small adults but unlike big deep neural networks
Lukas Huber
Robert Geirhos
Felix Wichmann
48
16
0
20 May 2022
How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition?
How much human-like visual experience do current self-supervised learning algorithms need in order to achieve human-level object recognition?
Emin Orhan
OOD
35
4
0
23 Sep 2021
On the surprising similarities between supervised and self-supervised models
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
74
46
0
16 Oct 2020
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,194
0
01 Sep 2014