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Neither hype nor gloom do DNNs justice

Neither hype nor gloom do DNNs justice

8 December 2023
Gaurav Malhotra
Christian Tsvetkov
B. D. Evans
ArXivPDFHTML

Papers citing "Neither hype nor gloom do DNNs justice"

43 / 43 papers shown
Title
Visual Image Reconstruction from Brain Activity via Latent Representation
Visual Image Reconstruction from Brain Activity via Latent Representation
Y. Kamitani
Misato Tanaka
Ken Shirakawa
11
0
0
13 May 2025
Contour Integration Underlies Human-Like Vision
Contour Integration Underlies Human-Like Vision
Ben Lonnqvist
Elsa Scialom
Abdülkadir Gökce
Zehra Merchant
Michael H. Herzog
Martin Schrimpf
VLM
28
0
0
07 Apr 2025
Do computer vision foundation models learn the low-level characteristics of the human visual system?
Do computer vision foundation models learn the low-level characteristics of the human visual system?
Yancheng Cai
Fei Yin
Dounia Hammou
Rafal Mantiuk
VLM
Presented at ResearchTrend Connect | VLM on 14 Mar 2025
136
1
0
13 Mar 2025
Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization
Sheng Long
Angelos Chatzimparmpas
Emma Alexander
Matthew Kay
Jessica Hullman
29
0
0
28 Feb 2025
Brain-Model Evaluations Need the NeuroAI Turing Test
Jenelle Feather
Meenakshi Khosla
N. Apurva Ratan Murty
Aran Nayebi
65
3
0
22 Feb 2025
A margin-based replacement for cross-entropy loss
A margin-based replacement for cross-entropy loss
Michael W. Spratling
Heiko H. Schütt
61
0
0
21 Jan 2025
Human-like object concept representations emerge naturally in multimodal
  large language models
Human-like object concept representations emerge naturally in multimodal large language models
Changde Du
Kaicheng Fu
Bincheng Wen
Yi Sun
Jie Peng
...
Chuncheng Zhang
Jinpeng Li
Shuang Qiu
Le Chang
Huiguang He
27
1
0
01 Jul 2024
Visualization Literacy of Multimodal Large Language Models: A
  Comparative Study
Visualization Literacy of Multimodal Large Language Models: A Comparative Study
Zhimin Li
Haichao Miao
Valerio Pascucci
Shusen Liu
35
4
0
24 Jun 2024
The 3D-PC: a benchmark for visual perspective taking in humans and machines
The 3D-PC: a benchmark for visual perspective taking in humans and machines
Drew Linsley
Peisen Zhou
A. Ashok
Akash Nagaraj
Gaurav Gaonkar
Francis E Lewis
Zygmunt Pizlo
Thomas Serre
37
6
0
06 Jun 2024
Spiking representation learning for associative memories
Spiking representation learning for associative memories
Naresh B. Ravichandran
A. Lansner
Pawel Herman
26
1
0
05 Jun 2024
Position: An Inner Interpretability Framework for AI Inspired by Lessons
  from Cognitive Neuroscience
Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience
Martina G. Vilas
Federico Adolfi
David Poeppel
Gemma Roig
33
5
0
03 Jun 2024
Poisson Variational Autoencoder
Poisson Variational Autoencoder
Hadi Vafaii
Dekel Galor
Jacob L. Yates
DRL
27
2
0
23 May 2024
A theory of neural emulators
A theory of neural emulators
C. Mitelut
24
0
0
22 May 2024
Leveraging the Human Ventral Visual Stream to Improve Neural Network
  Robustness
Leveraging the Human Ventral Visual Stream to Improve Neural Network Robustness
Zhenan Shao
Linjian Ma
Bo Li
Diane M. Beck
AAML
26
3
0
04 May 2024
MindSet: Vision. A toolbox for testing DNNs on key psychological
  experiments
MindSet: Vision. A toolbox for testing DNNs on key psychological experiments
Valerio Biscione
Don Yin
Gaurav Malhotra
Marin Dujmović
M. Montero
...
Rachel Heaton
John E. Hummel
Benjamin D. Evans
Karim G. Habashy
Jeffrey S. Bowers
22
2
0
08 Apr 2024
Computational Models to Study Language Processing in the Human Brain: A
  Survey
Computational Models to Study Language Processing in the Human Brain: A Survey
Shaonan Wang
Jingyuan Sun
Yunhao Zhang
Nan Lin
Marie-Francine Moens
Chengqing Zong
14
5
0
20 Mar 2024
Visual Reasoning in Object-Centric Deep Neural Networks: A Comparative
  Cognition Approach
Visual Reasoning in Object-Centric Deep Neural Networks: A Comparative Cognition Approach
Guillermo Puebla
Jeffrey S. Bowers
OCL
25
0
0
20 Feb 2024
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
21
0
0
14 Feb 2024
Human-Like Geometric Abstraction in Large Pre-trained Neural Networks
Human-Like Geometric Abstraction in Large Pre-trained Neural Networks
Declan Campbell
Sreejan Kumar
Tyler Giallanza
Thomas L. Griffiths
Jonathan D. Cohen
GNN
OCL
13
1
0
06 Feb 2024
Unveiling the Human-like Similarities of Automatic Facial Expression
  Recognition: An Empirical Exploration through Explainable AI
Unveiling the Human-like Similarities of Automatic Facial Expression Recognition: An Empirical Exploration through Explainable AI
F. X. Gaya-Morey
S. Ramis-Guarinos
Cristina Manresa-Yee
Jose Maria Buades Rubio
CVBM
17
3
0
22 Jan 2024
Layerwise complexity-matched learning yields an improved model of
  cortical area V2
Layerwise complexity-matched learning yields an improved model of cortical area V2
Nikhil Parthasarathy
Olivier J. Hénaff
Eero P. Simoncelli
27
1
0
18 Dec 2023
Artificial Neural Nets and the Representation of Human Concepts
Artificial Neural Nets and the Representation of Human Concepts
Timo Freiesleben
NAI
9
1
0
08 Dec 2023
Unveiling The Factors of Aesthetic Preferences with Explainable AI
Unveiling The Factors of Aesthetic Preferences with Explainable AI
Derya Soydaner
Johan Wagemans
6
2
0
24 Nov 2023
Getting aligned on representational alignment
Getting aligned on representational alignment
Ilia Sucholutsky
Lukas Muttenthaler
Adrian Weller
Andi Peng
Andreea Bobu
...
Thomas Unterthiner
Andrew Kyle Lampinen
Klaus-Robert Muller
M. Toneva
Thomas L. Griffiths
54
72
0
18 Oct 2023
Latent Noise Segmentation: How Neural Noise Leads to the Emergence of
  Segmentation and Grouping
Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping
Vincent Mallet
Zhengqing Wu
M. Ovsjanikov
13
5
0
28 Sep 2023
Divergences in Color Perception between Deep Neural Networks and Humans
Divergences in Color Perception between Deep Neural Networks and Humans
E. Nadler
Elise Darragh-Ford
Bhargav Srinivasa Desikan
Christian Conaway
Mark Chu
Tasker Hull
Douglas Guilbeault
18
4
0
11 Sep 2023
Consciousness in Artificial Intelligence: Insights from the Science of
  Consciousness
Consciousness in Artificial Intelligence: Insights from the Science of Consciousness
Patrick Butlin
R. Long
Eric Elmoznino
Yoshua Bengio
Jonathan C. P. Birch
...
L. Mudrik
Megan A. K. Peters
Eric Schwitzgebel
Jonathan Simon
Rufin VanRullen
LLMAG
16
95
0
17 Aug 2023
Improving neural network representations using human similarity
  judgments
Improving neural network representations using human similarity judgments
Lukas Muttenthaler
Lorenz Linhardt
Jonas Dippel
Robert A. Vandermeulen
Katherine L. Hermann
Andrew Kyle Lampinen
Simon Kornblith
27
29
0
07 Jun 2023
Performance-optimized deep neural networks are evolving into worse
  models of inferotemporal visual cortex
Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex
Drew Linsley
I. F. Rodriguez
Thomas Fel
Michael Arcaro
Saloni Sharma
Margaret Livingstone
Thomas Serre
22
18
0
06 Jun 2023
Adversarial alignment: Breaking the trade-off between the strength of an
  attack and its relevance to human perception
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception
Drew Linsley
Pinyuan Feng
Thibaut Boissin
A. Ashok
Thomas Fel
Stephanie Olaiya
Thomas Serre
AAML
20
6
0
05 Jun 2023
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
22
25
0
26 May 2023
Meta-Learned Models of Cognition
Meta-Learned Models of Cognition
Marcel Binz
Ishita Dasgupta
A. Jagadish
M. Botvinick
Jane X. Wang
Eric Schulz
24
23
0
12 Apr 2023
Covariance properties under natural image transformations for the
  generalized Gaussian derivative model for visual receptive fields
Covariance properties under natural image transformations for the generalized Gaussian derivative model for visual receptive fields
T. Lindeberg
11
11
0
17 Mar 2023
Convolutional Neural Networks Trained to Identify Words Provide a
  Surprisingly Good Account of Visual Form Priming Effects
Convolutional Neural Networks Trained to Identify Words Provide a Surprisingly Good Account of Visual Form Priming Effects
Dong Yin
Valerio Biscione
J. Bowers
12
1
0
08 Feb 2023
Deep Learning Models to Study Sentence Comprehension in the Human Brain
Deep Learning Models to Study Sentence Comprehension in the Human Brain
S. Arana
Jacques Pesnot Lerousseau
P. Hagoort
12
10
0
16 Jan 2023
Modeling biological face recognition with deep convolutional neural
  networks
Modeling biological face recognition with deep convolutional neural networks
Leonard E. van Dyck
W. Gruber
CVBM
6
7
0
13 Aug 2022
Should attention be all we need? The epistemic and ethical implications
  of unification in machine learning
Should attention be all we need? The epistemic and ethical implications of unification in machine learning
N. Fishman
Leif Hancox-Li
17
7
0
09 May 2022
Successes and critical failures of neural networks in capturing
  human-like speech recognition
Successes and critical failures of neural networks in capturing human-like speech recognition
Federico Adolfi
J. Bowers
David Poeppel
UQCV
9
19
0
06 Apr 2022
Mixed Evidence for Gestalt Grouping in Deep Neural Networks
Mixed Evidence for Gestalt Grouping in Deep Neural Networks
Valerio Biscione
J. Bowers
29
7
0
14 Mar 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
Learning Online Visual Invariances for Novel Objects via Supervised and
  Self-Supervised Training
Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training
Valerio Biscione
J. Bowers
26
11
0
04 Oct 2021
Understanding the computational demands underlying visual reasoning
Understanding the computational demands underlying visual reasoning
Mohit Vaishnav
Rémi Cadène
A. Alamia
Drew Linsley
Rufin VanRullen
Thomas Serre
GNN
CoGe
27
16
0
08 Aug 2021
Solving the Same-Different Task with Convolutional Neural Networks
Solving the Same-Different Task with Convolutional Neural Networks
Nicola Messina
Giuseppe Amato
F. Carrara
Claudio Gennaro
Fabrizio Falchi
AIMat
OOD
SSL
UQCV
30
16
0
22 Jan 2021
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