Generalization in Mind and Machine

What do adversarial images tell us about human vision?

Author(s): Marin Dujmović, Gaurav Malhotra, Jeffrey S Bowers
Published in: eLife, Issue 9, 2020, Page(s) 1-29, ISSN 2050-084X
Publisher: eLife Sciences Publications
DOI: 10.7554/elife.55978

Can deep convolutional neural networks support relational reasoning in the same-different task?

Author(s): Guillermo Puebla; Jeffrey S. Bowers
Published in: Journal of Vision, Issue 22 (10) 11, 2022, Page(s) 1-18, ISSN 1534-7362
Publisher: Association for Research in Vision and Ophthalmology
DOI: 10.1167/jov.22.10.11

The role of capacity constraints in Convolutional Neural Networks for learning random versus natural data

Author(s): Chris I Tsvetkov, Gaurav Malhotra, Benjamin D Evans, Jeffrey S Bowers
Published in: Neural Networks, Issue 161, 2023, Page(s) 515-524, ISSN 0346-251X
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.neunet.2023.01.011

Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be

Author(s): Valerio Biscione; Jeffrey S Bowers
Published in: Journal of Machine Learning Research, 2021, Page(s) 1-28, ISSN 1532-4435
Publisher: MIT Press
DOI: 10.48550/arxiv.2110.05861

Parallel Distributed Processing Theory in the Age of Deep Networks

Author(s): Jeffrey S. Bowers
Published in: Trends in Cognitive Sciences, Issue 21/12, 2017, Page(s) 950-961, ISSN 1364-6613
Publisher: Elsevier BV
DOI: 10.1016/j.tics.2017.09.013

Feature Blindness: A Challenge for Understanding and Modelling Visual Object Recognition

Author(s): Gaurav Malhotra; Marin Dujmovic; Jeffrey S Bowers
Published in: PLOS Computational Biology, 2022, ISSN 1932-6203
Publisher: Public Library of Science
DOI: 10.1101/2021.10.20.465074

Biological convolutions improve DNN robustness to noise and generalisation

Author(s): Benjamin D. Evans; Gaurav Malhotra; Jeffrey S. Bowers
Published in: Neural Networks, Issue 3, 2022, Page(s) 96-110, ISSN 0893-6080
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.neunet.2021.12.005

Successes and critical failures of neural networks in capturing human-like speech recognition

Author(s): Federico Adolfi, Jeffrey S. Bowers, David Poeppel
Published in: Neural Networks, 2023, Page(s) 199-211, ISSN 0893-6080
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.neunet.2023.02.032

Training neural networks to encode symbols enables combinatorial generalization

Author(s): Ivan I. Vankov, Jeffrey S. Bowers
Published in: Philosophical Transactions of the Royal Society B: Biological Sciences, Issue 375/1791, 2019, Page(s) 20190309, ISSN 0962-8436
Publisher: Royal Society of London
DOI: 10.1098/rstb.2019.0309

Hiding a plane with a pixel: examining shape-bias in CNNs and the benefit of building in biological constraints

Author(s): Gaurav Malhotra, Benjamin D. Evans, Jeffrey S. Bowers
Published in: Vision Research, Issue 174, 2020, Page(s) 57-68, ISSN 0042-6989
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.visres.2020.04.013

Does that sound right? A Novel Method of Evaluating Models of Reading Aloud.

Author(s): Michele Gubian, Ryan Blything, Colin Davis, Jeffrey Bowers
Published in: Behavior Research Methods, Issue 2022, 2022, ISSN 1554-351X
Publisher: Springer Verlag
DOI: 10.3758/s13428-022-01794-8

Are there any ‘object detectors’ in the hidden layers of CNNs trained to identify objects or scenes?

Author(s): Ella M. Gale, Nicholas Martin, Ryan Blything, Anh Nguyen, Jeffrey S. Bowers
Published in: Vision Research, Issue 176, 2020, Page(s) 60-71, ISSN 0042-6989
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.visres.2020.06.007

The human visual system and CNNs can both support robust online translation tolerance following extreme displacements

Author(s): Ryan Blything, Valerio Biscione, Ivan I. Vankov, Casimir J. H. Ludwig, Jeffrey S. Bowers
Published in: Journal of Vision, Issue 21/2, 2021, Page(s) 9, ISSN 1534-7362
Publisher: Association for Research in Vision and Ophthalmology
DOI: 10.1167/jov.21.2.9

The Pitfalls of Measuring Representational Similarity Using Representational Similarity Analysis

Author(s): Marin Dujmović, Jeffrey S. Bowers, Federico Adolfi, Gaurav Malhotra
Published in: BioRxiv, 2022
Publisher: Cold Spring Harbor Laboratory
DOI: 10.1101/2022.04.05.487135

Generalisation in Neural Networks Does not Require Feature Overlap

Author(s): Jeff Mitchell; Jeffrey S. Bowers
Published in: ArXiv, 2021
Publisher: Cornell University
DOI: 10.48550/arxiv.2107.06872

Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training

Author(s): Valerio Biscione; Jeffrey S. Bowers
Published in: ArXiv, 2021
Publisher: Cornell University
DOI: 10.48550/arxiv.2110.01476

Do DNNs Trained on Natural Images Organize Visual Features into Gestalts?

Author(s): Valerio Biscione, Jeffrey S. Bowers
Published in: Arxiv, 2022
Publisher: Arxiv
DOI: 10.48550/arxiv.2203.07302

Deep Problems with Neural Network Models of Human Vision

Author(s): Jeffrey S. Bowers, Gaurav Malhotra, Marin Dujmović, Milton Llera Montero, Christian Tsvetkov, Biscione, Guillermo Puebla, Federico Adolfi, John E. Hummel, Rachel F. Heaton, Benjamin D. Evans, Jeffrey Mitchell, Ryan Blything
Published in: PsyArXiv, 2022
Publisher: Cornell University
DOI: 10.31234/osf.io/5zf4s

Can deep convolutional neural networks support relational reasoning in the same-different task?

Author(s): Guillermo Puebla; Jeffrey S. Bowers
Published in: BioRxiv, 2021
Publisher: Cold Spring Harbor Laboratory
DOI: 10.1101/2021.09.03.458919

The contrasting shape representations that support object recognition in humans and CNNs

Author(s): Gaurav Malhotra; Marin Dujmovic; John Hummel; Jeffrey S Bowers
Published in: BioRxiv, 2021
Publisher: Cold Spring Harbor Laboratory
DOI: 10.1101/2021.12.14.472546

Lost in Latent Space: Disentangled Models and the Challenge of Combinatorial Generalisation

Author(s): Milton Montero, Jeffrey S. Bowers, Rui Ponte Costa, Casimir J. Ludwig, Gaurav Malhotra
Published in: arXiv, 2022
Publisher: Cornell Univesity
DOI: 10.48550/arxiv.2204.02283

A case for robust translation tolerance in humans and CNNs. A commentary on Han et al

Author(s): Blything, Ryan; Biscione, Valerio; Bowers, Jeffrey
Published in: arXiv.org e-Print Archive, Issue 1, 2020
Publisher: arXiv
DOI: 10.48550/arxiv.2012.05950

Learning Translation Invariance in CNNs

Author(s): Valerio Biscione, Jeffrey Bowers
Published in: NeurIPS 2020 Workshop SVRHM, 2020
Publisher: NeurIPS 2020 Workshop SVRHM

The role of disentanglement in generalisation

Author(s): Milton Llera Montero; Casimir Ludwig; Rui Ponte Costa; Gaurav Malhotra; Jeffrey S Bowers
Published in: International Conference on Learning Representations, 2021
Publisher: OpenReview

Can Deep Convolutional Neural Networks Learn Same-Different Relations?

Author(s): Guillermo Puebla; Jeffrey S. Bowers
Published in: Proceedings of the Annual Meeting of the Cognitive Science Society, 43(43), Issue 43(43), 2021, ISSN 1069-7977
Publisher: University of California

Subtractive gating improves generalization in working memory tasks

Author(s): Milton Llera Montero, Gaurav Malhotra, Jeff Bowers, Rui Ponte Costa
Published in: 2019 Conference on Cognitive Computational Neuroscience, 2019
Publisher: Cognitive Computational Neuroscience
DOI: 10.32470/ccn.2019.1352-0

Do LSTMs know about Principle C?

Author(s): Jeff Mitchell, Nina Kazanina, Conor Houghton, Jeff Bowers
Published in: 2019 Conference on Cognitive Computational Neuroscience, 2019
Publisher: Cognitive Computational Neuroscience
DOI: 10.32470/ccn.2019.1241-0

Extreme Translation Tolerance in Humans and Machines

Author(s): Ryan Blything, Ivan Vankov, Casimir Ludwig, Jeffrey Bowers
Published in: 2019 Conference on Cognitive Computational Neuroscience, 2019
Publisher: Cognitive Computational Neuroscience
DOI: 10.32470/ccn.2019.1091-0

Humans cannot decipher adversarial images: Revisiting Zhou and Firestone (2019)

Author(s): Marin Dujmović, Gaurav Malhotra, Jeffrey Bowers
Published in: 2019 Conference on Cognitive Computational Neuroscience, 2019
Publisher: Cognitive Computational Neuroscience
DOI: 10.32470/ccn.2019.1298-0

Adding biological constraints to CNNs makes image classification more human-like and robust

Author(s): Gaurav Malhotra, Benjamin Evans, Jeffrey Bowers
Published in: 2019 Conference on Cognitive Computational Neuroscience, 2019
Publisher: Cognitive Computational Neuroscience
DOI: 10.32470/ccn.2019.1212-0

Translation Tolerance in Vision.

Author(s): Ryan Blything, Ivan I. Vankov, Casimir J. Ludwig, Jeffrey S. Bowers
Published in: 41st Annual Conference of the Cognitive Science Society 2019, 2019
Publisher: A.K. Goel, C.M. Seifert, & C. Freksa (Eds.)

Selectivity Metrics Provide Misleading Estimates of the Selectivity of Single Units in Neural Networks

Author(s): Ella Gale, Ryan Blything, Nicholas Martin, Jeffrey S. Bowers, and Anh Nguyen.
Published in: 41st Annual Conference of the Cognitive Science Society 2019, 2019
Publisher: A.K. Goel, C.M. Seifert, & C. Freksa (Eds.)

The Contrasting Roles of Shape in Human Vision and Convolutional Neural Networks

Author(s): Gaurav Malhotra, Jeff Bowers
Published in: 41st Annual Conference of the Cognitive Science Society 2019, 2019
Publisher: A.K. Goel, C.M. Seifert, & C. Freksa (Eds.)

Harnessing the Symmetry of Convolutions for Systematic Generalisation

Author(s): Jeff Mitchell, Jeffrey S. Bowers
Published in: 2020 International Joint Conference on Neural Networks (IJCNN), 2020, Page(s) 1-8, ISBN 978-1-7281-6926-2
Publisher: IEEE
DOI: 10.1109/ijcnn48605.2020.9207183

Adding biological constraints to deep neural networks reduces their capacity to learn unstructured data

Author(s): Christian Tsvetkov, Gaurav Malhotra, Benjamin Evans, Jeff Bowers
Published in: In Proceedings of the 42nd Annual Conference of the Cognitive Science Society 2020, 2020, Page(s) 2358-2364
Publisher: Cognitive Science Society

Priorless Recurrent Networks Learn Curiously

Author(s): Jeff Mitchell, Jeffrey Bowers
Published in: Proceedings of the 28th International Conference on Computational Linguistics, 2020, Page(s) 5147-5158, ISBN 978-1-952148-27-9
Publisher: International Committee on Computational Linguistics
DOI: 10.18653/v1/2020.coling-main.451

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