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Learning From Brains How to Regularize Machines

Learning From Brains How to Regularize Machines

11 November 2019
Zhe Li
Wieland Brendel
Edgar Y. Walker
Erick Cobos
Taliah Muhammad
Jacob Reimer
Matthias Bethge
Fabian H. Sinz
Xaq Pitkow
A. Tolias
    OOD
    AAML
ArXivPDFHTML

Papers citing "Learning From Brains How to Regularize Machines"

18 / 18 papers shown
Title
Mice to Machines: Neural Representations from Visual Cortex for Domain Generalization
Mice to Machines: Neural Representations from Visual Cortex for Domain Generalization
Ahmed Qazi
Hamd Jalil
Asim Iqbal
OOD
33
0
0
11 May 2025
NeuGen: Amplifying the Ñeural' in Neural Radiance Fields for Domain Generalization
NeuGen: Amplifying the Ñeural' in Neural Radiance Fields for Domain Generalization
Ahmed Qazi
Abdul Basit
Asim Iqbal
AI4CE
23
0
0
11 May 2025
NeuRN: Neuro-inspired Domain Generalization for Image Classification
NeuRN: Neuro-inspired Domain Generalization for Image Classification
Hamd Jalil
Ahmed Qazi
Asim Iqbal
OOD
MedIm
26
0
0
11 May 2025
A Brain-Inspired Regularizer for Adversarial Robustness
A Brain-Inspired Regularizer for Adversarial Robustness
Elie Attias
Cengiz Pehlevan
D. Obeid
AAML
OOD
20
0
0
04 Oct 2024
Probing Human Visual Robustness with Neurally-Guided Deep Neural Networks
Probing Human Visual Robustness with Neurally-Guided Deep Neural Networks
Zhenan Shao
Linjian Ma
Yiqing Zhou
Yibo Jacky Zhang
Sanmi Koyejo
Bo Li
Diane M. Beck
AAML
46
3
0
04 May 2024
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained
  Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence
Erik C. Johnson
Brian S. Robinson
Gautam K. Vallabha
Justin Joyce
Jordan K. Matelsky
...
Matthew J. Roos
I-J. Wang
Brock Andrew Wester
William R. Gray Roncal
J. Hoffmann
40
1
0
26 May 2023
Feature representations useful for predicting image memorability
Feature representations useful for predicting image memorability
Takumi Harada
Hiroyuki Sakai
27
1
0
14 Mar 2023
V1T: large-scale mouse V1 response prediction using a Vision Transformer
V1T: large-scale mouse V1 response prediction using a Vision Transformer
Bryan M. Li
I. M. Cornacchia
Nathalie L Rochefort
A. Onken
26
8
0
06 Feb 2023
The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of
  Natural Scenes
The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of Natural Scenes
A. T. Gifford
B. Lahner
Sari Saba-Sadiya
M. G. Vilas
A. Lascelles
A. Oliva
K. Kay
Gemma Roig
Radoslaw Martin Cichy
AI4CE
24
34
0
09 Jan 2023
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive
  Biased kernels
IB-U-Nets: Improving medical image segmentation tasks with 3D Inductive Biased kernels
Shrajan Bhandary
Z. Babaiee
D. Kostyszyn
T. Fechter
C. Zamboglou
Anca-Ligia Grosu
Radu Grosu
40
1
0
28 Oct 2022
The Sensorium competition on predicting large-scale mouse primary visual
  cortex activity
The Sensorium competition on predicting large-scale mouse primary visual cortex activity
K. Willeke
Paul G. Fahey
Mohammad Ali Bashiri
Laura Pede
Max F. Burg
...
Taliah Muhammad
Artificial Intelligence
Alexander S. Ecker
Self-Organization
R. University
23
31
0
17 Jun 2022
A Systematic Review of Robustness in Deep Learning for Computer Vision:
  Mind the gap?
A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap?
Nathan G. Drenkow
Numair Sani
I. Shpitser
Mathias Unberath
19
75
0
01 Dec 2021
Toward Learning Human-aligned Cross-domain Robust Models by Countering
  Misaligned Features
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features
Haohan Wang
Zeyi Huang
Hanlin Zhang
Yong Jae Lee
Eric P. Xing
OOD
135
16
0
05 Nov 2021
Towards robust vision by multi-task learning on monkey visual cortex
Towards robust vision by multi-task learning on monkey visual cortex
Shahd Safarani
Arne F. Nix
K. Willeke
Santiago A. Cadena
Kelli Restivo
George H. Denfield
A. Tolias
Fabian H. Sinz
OOD
19
52
0
29 Jul 2021
Bio-inspired Robustness: A Review
Bio-inspired Robustness: A Review
Harshitha Machiraju
Oh-hyeon Choung
P. Frossard
Michael H. Herzog
AAML
30
1
0
16 Mar 2021
Enriching ImageNet with Human Similarity Judgments and Psychological
  Embeddings
Enriching ImageNet with Human Similarity Judgments and Psychological Embeddings
Brett D. Roads
Bradley C. Love
3DH
27
39
0
22 Nov 2020
Contrastive Similarity Matching for Supervised Learning
Contrastive Similarity Matching for Supervised Learning
Shanshan Qin
N. Mudur
Cengiz Pehlevan
SSL
DRL
16
1
0
24 Feb 2020
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden M. Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
890
0
11 Nov 2017
1