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Brain-Like Object Recognition with High-Performing Shallow Recurrent
  ANNs

Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs

13 September 2019
J. Kubilius
Martin Schrimpf
Kohitij Kar
Ha Hong
N. Majaj
R. Rajalingham
Elias B. Issa
P. Bashivan
Jonathan Prescott-Roy
Kailyn Schmidt
Aran Nayebi
Daniel M. Bear
Daniel L. K. Yamins
J. DiCarlo
ArXivPDFHTML

Papers citing "Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs"

28 / 78 papers shown
Title
Mixed Evidence for Gestalt Grouping in Deep Neural Networks
Mixed Evidence for Gestalt Grouping in Deep Neural Networks
Valerio Biscione
J. Bowers
37
9
0
14 Mar 2022
Solving Dynamic Principal-Agent Problems with a Rationally Inattentive
  Principal
Solving Dynamic Principal-Agent Problems with a Rationally Inattentive Principal
Tong Mu
Stephan Zheng
Alexander R. Trott
17
3
0
18 Jan 2022
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
127
16
0
05 Nov 2021
Trivial or impossible -- dichotomous data difficulty masks model
  differences (on ImageNet and beyond)
Trivial or impossible -- dichotomous data difficulty masks model differences (on ImageNet and beyond)
Kristof Meding
Luca M. Schulze Buschoff
Robert Geirhos
Felix Wichmann
28
40
0
12 Oct 2021
Recurrent networks improve neural response prediction and provide
  insights into underlying cortical circuits
Recurrent networks improve neural response prediction and provide insights into underlying cortical circuits
Yimeng Zhang
Harold Rockwell
Sicheng Dai
Ge Huang
S. Tsou
Yuanyuan Wei
T. Lee
19
1
0
02 Oct 2021
Training Feedback Spiking Neural Networks by Implicit Differentiation on
  the Equilibrium State
Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
Yisen Wang
Zhouchen Lin
103
59
0
29 Sep 2021
Capturing the objects of vision with neural networks
Capturing the objects of vision with neural networks
B. Peters
N. Kriegeskorte
OCL
18
56
0
07 Sep 2021
CogSense: A Cognitively Inspired Framework for Perception Adaptation
CogSense: A Cognitively Inspired Framework for Perception Adaptation
Hyukseong Kwon
Amir M. Rahimi
Kevin G. Lee
Amit Agarwal
Rajan Bhattacharyya
11
0
0
22 Jul 2021
Passive Attention in Artificial Neural Networks Predicts Human Visual
  Selectivity
Passive Attention in Artificial Neural Networks Predicts Human Visual Selectivity
Thomas A. Langlois
H. C. Zhao
Erin Grant
Ishita Dasgupta
Thomas L. Griffiths
Nori Jacoby
42
15
0
14 Jul 2021
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
VLM
AAML
40
221
0
14 Jun 2021
Object Based Attention Through Internal Gating
Object Based Attention Through Internal Gating
Jordan Lei
Ari S. Benjamin
Konrad Paul Kording
OCL
14
4
0
08 Jun 2021
Predify: Augmenting deep neural networks with brain-inspired predictive
  coding dynamics
Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics
Bhavin Choksi
Milad Mozafari
Callum Biggs O'May
Benjamin Ador
A. Alamia
Rufin VanRullen
AI4CE
14
35
0
04 Jun 2021
Stroke Lesion Segmentation with Visual Cortex Anatomy Alike Neural Nets
Stroke Lesion Segmentation with Visual Cortex Anatomy Alike Neural Nets
Chuanlong Li
OOD
17
3
0
13 May 2021
Self-Reorganizing and Rejuvenating CNNs for Increasing Model Capacity
  Utilization
Self-Reorganizing and Rejuvenating CNNs for Increasing Model Capacity Utilization
Wissam J. Baddar
Seungju Han
Seon-Min Rhee
Jae-Joon Han
6
1
0
13 Feb 2021
Deep Neural Models for color discrimination and color constancy
Deep Neural Models for color discrimination and color constancy
Alban Flachot
A. Akbarinia
Heiko H. Schutt
R. Fleming
Felix Wichmann
K. Gegenfurtner
4
2
0
28 Dec 2020
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
14
39
0
22 Nov 2020
Fooling the primate brain with minimal, targeted image manipulation
Fooling the primate brain with minimal, targeted image manipulation
Li-xin Yuan
Will Xiao
Giorgia Dellaferrera
Gabriel Kreiman
Francis E. H. Tay
Jiashi Feng
Margaret Livingstone
AAML
17
1
0
11 Nov 2020
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans
  by measuring error consistency
Beyond accuracy: quantifying trial-by-trial behaviour of CNNs and humans by measuring error consistency
Robert Geirhos
Kristof Meding
Felix Wichmann
6
116
0
30 Jun 2020
Stable and expressive recurrent vision models
Stable and expressive recurrent vision models
Drew Linsley
A. Ashok
L. Govindarajan
Rex G Liu
Thomas Serre
6
44
0
22 May 2020
A neural network walks into a lab: towards using deep nets as models for
  human behavior
A neural network walks into a lab: towards using deep nets as models for human behavior
Wei-Ying Ma
B. Peters
HAI
AI4CE
12
54
0
02 May 2020
Going in circles is the way forward: the role of recurrence in visual
  inference
Going in circles is the way forward: the role of recurrence in visual inference
R. S. V. Bergen
N. Kriegeskorte
17
81
0
26 Mar 2020
Evaluating the Progress of Deep Learning for Visual Relational Concepts
Evaluating the Progress of Deep Learning for Visual Relational Concepts
Sebastian Stabinger
Peer David
J. Piater
A. Rodríguez-Sánchez
12
18
0
29 Jan 2020
Convolutional Neural Networks as a Model of the Visual System: Past,
  Present, and Future
Convolutional Neural Networks as a Model of the Visual System: Past, Present, and Future
Grace W. Lindsay
MedIm
24
423
0
20 Jan 2020
Adaptive and Iteratively Improving Recurrent Lateral Connections
Adaptive and Iteratively Improving Recurrent Lateral Connections
Barak Battash
Lior Wolf
9
2
0
16 Oct 2019
Subjective and Objective De-raining Quality Assessment Towards Authentic
  Rain Image
Subjective and Objective De-raining Quality Assessment Towards Authentic Rain Image
Qingbo Wu
Lei Wang
K. Ngan
Hongliang Li
Fanman Meng
Linfeng Xu
14
60
0
26 Sep 2019
Interpreting and improving natural-language processing (in machines)
  with natural language-processing (in the brain)
Interpreting and improving natural-language processing (in machines) with natural language-processing (in the brain)
Mariya Toneva
Leila Wehbe
MILM
AI4CE
20
218
0
28 May 2019
Abstraction Mechanisms Predict Generalization in Deep Neural Networks
Abstraction Mechanisms Predict Generalization in Deep Neural Networks
Alex Gain
H. Siegelmann
AI4CE
6
6
0
27 May 2019
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks
  and Visual Cortex
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Q. Liao
T. Poggio
206
255
0
13 Apr 2016
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