A neural network walks into a lab: towards using deep nets as models for human behavior

2 May 2020

Papers citing "A neural network walks into a lab: towards using deep nets as models for human behavior"

50 / 54 papers shown

Title
Controversial stimuli: pitting neural networks against each other as models of human recognition Tal Golan Prashant C. Raju N. Kriegeskorte AAML 26 39 0 21 Nov 2019
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs J. Kubilius Martin Schrimpf Kohitij Kar Ha Hong N. Majaj ... Kailyn Schmidt Aran Nayebi Daniel M. Bear Daniel L. K. Yamins J. DiCarlo 72 259 0 13 Sep 2019
Human uncertainty makes classification more robust Joshua C. Peterson Ruairidh M. Battleday Thomas Griffiths Olga Russakovsky OOD 17 299 0 19 Aug 2019
Cognitive Model Priors for Predicting Human Decisions David D. Bourgin Joshua C. Peterson Daniel Reichman Thomas Griffiths Stuart J. Russell 21 72 0 22 May 2019
Data-Efficient Image Recognition with Contrastive Predictive Coding Olivier J. Hénaff A. Srinivas J. Fauw Ali Razavi Carl Doersch S. M. Ali Eslami Aaron van den Oord SSL 80 1,422 0 22 May 2019
Adversarial Examples Are Not Bugs, They Are Features Andrew Ilyas Shibani Santurkar Dimitris Tsipras Logan Engstrom Brandon Tran Aleksander Madry SILM 68 1,825 0 06 May 2019
Capturing human categorization of natural images at scale by combining deep networks and cognitive models Ruairidh M. Battleday Joshua C. Peterson Thomas Griffiths 19 13 0 26 Apr 2019
Habitat: A Platform for Embodied AI Research Manolis Savva Abhishek Kadian Oleksandr Maksymets Yili Zhao Erik Wijmans ... Jia-Wei Liu V. Koltun Jitendra Malik Devi Parikh Dhruv Batra LM&Ro 70 1,390 0 02 Apr 2019
Recurrence is required to capture the representational dynamics of the human visual system Tim C Kietzmann Courtney J. Spoerer Lynn K. A. Sörensen Radoslaw Martin Cichy O. Hauk N. Kriegeskorte 25 337 0 14 Mar 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn Sebastian Lapuschkin S. Wäldchen Alexander Binder G. Montavon Wojciech Samek K. Müller 47 1,005 0 26 Feb 2019
A mathematical theory of semantic development in deep neural networks Andrew M. Saxe James L. McClelland Surya Ganguli 35 264 0 23 Oct 2018
The 30-Year Cycle In The AI Debate J. Chauvet 37 8 0 08 Oct 2018
Relational recurrent neural networks Adam Santoro Ryan Faulkner David Raposo Jack W. Rae Mike Chrzanowski T. Weber Daan Wierstra Oriol Vinyals Razvan Pascanu Timothy Lillicrap GNN 98 211 0 05 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 311 3,101 0 04 Jun 2018
Towards the first adversarially robust neural network model on MNIST Lukas Schott Jonas Rauber Matthias Bethge Wieland Brendel AAML OOD 36 369 0 23 May 2018
Taskonomy: Disentangling Task Transfer Learning Amir Zamir Alexander Sax Bokui (William) Shen Leonidas Guibas Jitendra Malik Silvio Savarese 67 1,209 0 23 Apr 2018
Deep Learning in Spiking Neural Networks A. Tavanaei M. Ghodrati Saeed Reza Kheradpisheh T. Masquelier Anthony Maida 36 1,064 0 22 Apr 2018
Continual Lifelong Learning with Neural Networks: A Review G. I. Parisi Ronald Kemker Jose L. Part Christopher Kanan S. Wermter KELM CLL 103 2,854 0 21 Feb 2018
Learning Inductive Biases with Simple Neural Networks Reuben Feinman Brenden M. Lake 23 36 0 08 Feb 2018
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents Joel Z Leibo Cyprien de Masson dÁutume Daniel Zoran David Amos Charlie Beattie ... Simon Green A. Gruslys Shane Legg Demis Hassabis M. Botvinick 41 78 0 24 Jan 2018
Measuring the tendency of CNNs to Learn Surface Statistical Regularities Jason Jo Yoshua Bengio AAML 48 249 0 30 Nov 2017
Modeling Human Categorization of Natural Images Using Deep Feature Representations Ruairidh M. Battleday Joshua C. Peterson Thomas Griffiths VLM 21 21 0 13 Nov 2017
Building machines that adapt and compute like brains Brenden M. Lake J. Tenenbaum AI4CE FedML NAI AILaw 315 887 0 11 Nov 2017
Dynamic Routing Between Capsules S. Sabour Nicholas Frosst Geoffrey E. Hinton 62 4,584 0 26 Oct 2017
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study Samuel Ritter David Barrett Adam Santoro M. Botvinick 32 195 0 26 Jun 2017
Comparing deep neural networks against humans: object recognition when the signal gets weaker Robert Geirhos David H. J. Janssen Heiko H. Schutt Jonas Rauber Matthias Bethge Felix Wichmann 41 243 0 21 Jun 2017
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 85 2,817 0 15 Jun 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 149 5,774 0 14 Jun 2017
Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics Ken Kansky Tom Silver David A. Mély Mohamed Eldawy Miguel Lazaro-Gredilla Xinghua Lou N. Dorfman Szymon Sidor Scott Phoenix Dileep George AI4CE 50 233 0 14 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 304 129,831 0 12 Jun 2017
Recurrent computations for visual pattern completion Hanlin Tang Martin Schrimpf William Lotter Charlotte Moerman Ana Paredes Josue Ortega Caro Walter Hardesty David D. Cox Gabriel Kreiman 44 212 0 07 Jun 2017
Domain Adaptation for Visual Applications: A Comprehensive Survey G. Csurka OOD 47 507 0 17 Feb 2017
DeepMind Lab Charlie Beattie Joel Z Leibo Denis Teplyashin Tom Ward Marcus Wainwright ... Stephen Gaffney Helen King Demis Hassabis Shane Legg Stig Petersen 38 241 0 12 Dec 2016
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 204 7,410 0 02 Dec 2016
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 56 974 0 17 Nov 2016
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 229 4,612 0 10 Nov 2016
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 365 5,346 0 05 Nov 2016
Adapting Deep Network Features to Capture Psychological Representations Joshua C. Peterson Joshua T. Abbott Thomas Griffiths 17 66 0 06 Aug 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning William Lotter Gabriel Kreiman David D. Cox SSL 66 931 0 25 May 2016
Humans and deep networks largely agree on which kinds of variation make object recognition harder Saeed Reza Kheradpisheh M. Ghodrati M. Ganjtabesh T. Masquelier OOD 42 34 0 21 Apr 2016
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex Q. Liao T. Poggio 225 256 0 13 Apr 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 53 483 0 20 Mar 2016
Turing learning: a metric-free approach to inferring behavior and its application to swarms Wei Li Melvin Gauci R. Groß 31 55 0 15 Mar 2016
Learning Physical Intuition of Block Towers by Example Adam Lerer Sam Gross Rob Fergus PINN 49 298 0 03 Mar 2016
Representational Distance Learning for Deep Neural Networks Patrick McClure N. Kriegeskorte 34 48 0 12 Nov 2015
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 283 7,942 0 17 Aug 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 410 9,233 0 06 Jun 2015
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 240 7,361 0 05 Jun 2015
Difference Target Propagation Dong-Hyun Lee Saizheng Zhang Asja Fischer Yoshua Bengio AAML 29 346 0 23 Dec 2014
Neural Turing Machines Alex Graves Greg Wayne Ivo Danihelka 48 2,318 0 20 Oct 2014