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Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study

26 June 2017

Papers citing "Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study"

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Title
CogLM: Tracking Cognitive Development of Large Language Models Xinglin Wang Peiwen Yuan Shaoxiong Feng Yiwei Li Boyuan Pan Heda Wang Yao Hu Kan Li ELM 160 1 0 17 Aug 2024
Towards a Psychology of Machines: Large Language Models Predict Human Memory Markus Huff Elanur Ulakçi 77 4 0 08 Mar 2024
A novel feature-scrambling approach reveals the capacity of convolutional neural networks to learn spatial relations A. Farahat Felix Effenberger M. Vinck 91 5 0 12 Dec 2022
Mechanistic Mode Connectivity Ekdeep Singh Lubana Eric J. Bigelow Robert P. Dick David M. Krueger Hidenori Tanaka 122 49 0 15 Nov 2022
The Role of Explanatory Value in Natural Language Processing Kees van Deemter XAI 32 0 0 13 Sep 2022
Gaussian Process Surrogate Models for Neural Networks Michael Y. Li Erin Grant Thomas Griffiths BDL SyDa 109 8 0 11 Aug 2022
Abutting Grating Illusion: Cognitive Challenge to Neural Network Models Jinyu Fan Yi Zeng AAML 61 1 0 08 Aug 2022
Language models show human-like content effects on reasoning tasks Ishita Dasgupta Andrew Kyle Lampinen Stephanie C. Y. Chan Hannah R. Sheahan Antonia Creswell D. Kumaran James L. McClelland Felix Hill ReLM LRM 136 188 0 14 Jul 2022
Using cognitive psychology to understand GPT-3 Marcel Binz Eric Schulz ELM LLMAG 351 492 0 21 Jun 2022
InBiaseD: Inductive Bias Distillation to Improve Generalization and Robustness through Shape-awareness Shruthi Gowda Bahram Zonooz Elahe Arani 73 5 0 12 Jun 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples Duong H. Le Khoi Duc Minh Nguyen Khoi Nguyen Quoc-Huy Tran Rang Nguyen Binh-Son Hua OODD 95 40 0 08 Jun 2022
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning Sreejan Kumar Ishita Dasgupta Nathaniel D. Daw Jonathan Cohen Thomas Griffiths 101 10 0 04 Apr 2022
A Developmentally-Inspired Examination of Shape versus Texture Bias in Machines Alexa R. Tartaglini Wai Keen Vong Brenden M. Lake 64 14 0 16 Feb 2022
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples Amin Banitalebi-Dehkordi Yong Zhang 72 7 0 20 Oct 2021
Predicting decision-making in the future: Human versus Machine H. Ryu Uijong Ju C. Wallraven 3DH 65 0 0 09 Oct 2021
Distinguishing rule- and exemplar-based generalization in learning systems Ishita Dasgupta Erin Grant Thomas Griffiths 88 16 0 08 Oct 2021
The Emergence of the Shape Bias Results from Communicative Efficiency Eva Portelance Michael C. Frank Dan Jurafsky Alessandro Sordoni Romain Laroche 147 19 0 13 Sep 2021
Shape-Biased Domain Generalization via Shock Graph Embeddings M. Narayanan Vickram Rajendran Benjamin Kimia 75 14 0 13 Sep 2021
IFBiD: Inference-Free Bias Detection Ignacio Serna Daniel DeAlcala Aythami Morales Julian Fierrez J. Ortega-Garcia CVBM 109 11 0 09 Sep 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer Pablo Samuel Castro Aaron Courville Marc G. Bellemare OffRL 196 680 0 30 Aug 2021
Exploring Corruption Robustness: Inductive Biases in Vision Transformers and MLP-Mixers Katelyn Morrison B. Gilby Colton Lipchak Adam Mattioli Adriana Kovashka ViT 80 17 0 24 Jun 2021
Visual Search Asymmetry: Deep Nets and Humans Share Similar Inherent Biases Shashi Kant Gupta Mengmi Zhang Chia-Chien Wu J. Wolfe Gabriel Kreiman ObjD 69 20 0 05 Jun 2021
Can Subnetwork Structure be the Key to Out-of-Distribution Generalization? Dinghuai Zhang Kartik Ahuja Yilun Xu Yisen Wang Aaron Courville OOD 99 96 0 05 Jun 2021
A Procedural World Generation Framework for Systematic Evaluation of Continual Learning Timm Hess Martin Mundt Iuliia Pliushch Visvanathan Ramesh 75 7 0 04 Jun 2021
This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition Meike Nauta Annemarie Jutte Jesper C. Provoost C. Seifert FAtt 111 65 0 05 Nov 2020
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective Baifeng Shi Dinghuai Zhang Qi Dai Zhanxing Zhu Yadong Mu Jingdong Wang OOD 72 112 0 10 Aug 2020
What they do when in doubt: a study of inductive biases in seq2seq learners Eugene Kharitonov Rahma Chaabouni 79 27 0 26 Jun 2020
Teaching CNNs to mimic Human Visual Cognitive Process & regularise Texture-Shape bias Satyam Mohla Anshul Nasery Biplab Banerjee 41 3 0 25 Jun 2020
A neural network walks into a lab: towards using deep nets as models for human behavior Wei-Ying Ma B. Peters HAI AI4CE 94 55 0 02 May 2020
Five Points to Check when Comparing Visual Perception in Humans and Machines Christina M. Funke Judy Borowski Karolina Stosio Wieland Brendel Thomas S. A. Wallis Matthias Bethge 73 33 0 20 Apr 2020
$Can you hear me $\textit{now}$? Sensitive comparisons of human and machine perception$ Can you hear me $\textit{now}$ ? Sensitive comparisons of human and machine perception Michael A. Lepori C. Firestone AAML 69 9 0 27 Mar 2020
Visual Privacy Protection via Mapping Distortion Yiming Li Peidong Liu Yong Jiang Shutao Xia 120 11 0 05 Nov 2019
Increasing Shape Bias in ImageNet-Trained Networks Using Transfer Learning and Domain-Adversarial Methods Françis Brochu GAN 47 11 0 30 Jul 2019
Mutual exclusivity as a challenge for deep neural networks Kanishk Gandhi Brenden M. Lake 91 14 0 24 Jun 2019
REPAIR: Removing Representation Bias by Dataset Resampling Yi Li Nuno Vasconcelos FaML 86 287 0 16 Apr 2019
An Analysis of Pre-Training on Object Detection Hengduo Li Bharat Singh Mahyar Najibi Zuxuan Wu L. Davis ObjD 60 39 0 11 Apr 2019
Neural Networks Trained on Natural Scenes Exhibit Gestalt Closure Been Kim Emily Reif Martin Wattenberg Samy Bengio Michael C. Mozer 87 31 0 04 Mar 2019
The meaning of "most" for visual question answering models A. Kuhnle Ann A. Copestake 38 4 0 31 Dec 2018
Learning Not to Learn: Training Deep Neural Networks with Biased Data Byungju Kim Hyunwoo Kim Kyungsu Kim Sungjin Kim Junmo Kim OOD 74 411 0 26 Dec 2018
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 235 2,682 0 29 Nov 2018
Shape and Margin-Aware Lung Nodule Classification in Low-dose CT Images via Soft Activation Mapping Yiming Lei Yukun Tian Hongming Shan Junping Zhang Ge Wang Mannudeep K. Kalra 53 79 0 30 Oct 2018
Deep Learning in Information Security S. Thaler Vlado Menkovski M. Petković 63 10 0 12 Sep 2018
Interpreting Deep Learning: The Machine Learning Rorschach Test? Adam S. Charles AAML HAI AI4CE 105 9 0 01 Jun 2018
Potentials and Limitations of Deep Neural Networks for Cognitive Robots Doreen Jirak S. Wermter 41 5 0 02 May 2018
Probing Physics Knowledge Using Tools from Developmental Psychology Luis S. Piloto Ari Weinstein TB Dhruva Arun Ahuja M. Berk Mirza Greg Wayne David Amos Chia-Chun Hung M. Botvinick 78 34 0 03 Apr 2018
Assessing Shape Bias Property of Convolutional Neural Networks Hossein Hosseini Baicen Xiao Mayoore S. Jaiswal Radha Poovendran 68 36 0 21 Mar 2018
Semantic Adversarial Examples Hossein Hosseini Radha Poovendran GAN AAML 108 199 0 16 Mar 2018
Few-Shot Learning with Metric-Agnostic Conditional Embeddings Nathan Hilliard Lawrence Phillips Scott Howland A. Yankov Court D. Corley Nathan Oken Hodas SSL 85 159 0 12 Feb 2018
Evaluating Compositionality in Sentence Embeddings Ishita Dasgupta Demi Guo Andreas Stuhlmuller S. Gershman Noah D. Goodman CoGe 98 121 0 12 Feb 2018
Cognitive Deficit of Deep Learning in Numerosity Xiaolin Wu Xi Zhang X. Shu 63 11 0 09 Feb 2018