Jeffrey S. Bowers

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 28

Top Topics

Learning Models

Visual Object Recognition

Top Venues

Neural Networks

J. Mach. Learn. Res.

Publications

Valerio Biscione, Dong Yin, Gaurav Malhotra, Marin Dujmovic, Milton Llera Montero, Guillermo Puebla, Federico Adolfi, Rachel F. Heaton, John E. Hummel, Benjamin D. Evans, Karim Habashy, Jeffrey S. Bowers
MindSet: Vision. A toolbox for testing DNNs on key psychological experiments. CoRR (2024)
Guillermo Puebla, Jeffrey S. Bowers
Visual Reasoning in Object-Centric Deep Neural Networks: A Comparative Cognition Approach. CoRR (2024)
Karim Habashy, Benjamin D. Evans, Dan F. M. Goodman, Jeffrey S. Bowers
Adapting to time: why nature evolved a diverse set of neurons. CoRR (2024)
Christian Tsvetkov, Gaurav Malhotra, Benjamin D. Evans, Jeffrey S. Bowers
The role of capacity constraints in Convolutional Neural Networks for learning random versus natural data. Neural Networks 161 (2023)
Guillermo Puebla, Jeffrey S. Bowers
The role of object-centric representations, guided attention, and external memory on generalizing visual relations. CoRR (2023)
Jeffrey S. Bowers, Gaurav Malhotra, Federico Adolfi, Marin Dujmovic, Milton Llera Montero, Valerio Biscione, Guillermo Puebla, John E. Hummel, Rachel Heaton
On the importance of severely testing deep learning models of cognition. Cogn. Syst. Res. 82 (2023)
Dong Yin, Valerio Biscione, Jeffrey S. Bowers
Convolutional Neural Networks Trained to Identify Words Provide a Good Account of Visual Form Priming Effects. CoRR (2023)
Federico Adolfi, Jeffrey S. Bowers, David Poeppel
Successes and critical failures of neural networks in capturing human-like speech recognition. Neural Networks 162 (2023)
Gaurav Malhotra, Marin Dujmovic, Jeffrey S. Bowers
Feature blindness: A challenge for understanding and modelling visual object recognition. PLoS Comput. Biol. 18 (5) (2022)
Benjamin D. Evans, Gaurav Malhotra, Jeffrey S. Bowers
Biological convolutions improve DNN robustness to noise and generalisation. Neural Networks 148 (2022)
Valerio Biscione, Jeffrey S. Bowers
Learning online visual invariances for novel objects via supervised and self-supervised training. Neural Networks 150 (2022)
Valerio Biscione, Jeffrey S. Bowers
Do DNNs trained on Natural Images acquire Gestalt Properties? CoRR (2022)
Milton Llera Montero, Jeffrey S. Bowers, Rui Ponte Costa, Casimir J. H. Ludwig, Gaurav Malhotra
Lost in Latent Space: Examining failures of disentangled models at combinatorial generalisation. NeurIPS (2022)
Milton Llera Montero, Jeffrey S. Bowers, Rui Ponte Costa, Casimir J. H. Ludwig, Gaurav Malhotra
Lost in Latent Space: Disentangled Models and the Challenge of Combinatorial Generalisation. CoRR (2022)
Federico Adolfi, Jeffrey S. Bowers, David Poeppel
Successes and critical failures of neural networks in capturing human-like speech recognition. CoRR (2022)
Guillermo Puebla, Jeffrey S. Bowers
Can Deep Convolutional Neural Networks Learn Same-Different Relations? CogSci (2021)
Jeff Mitchell, Jeffrey S. Bowers
Generalisation in Neural Networks Does not Require Feature Overlap. CoRR (2021)
Valerio Biscione, Jeffrey S. Bowers
Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be. CoRR (2021)
Valerio Biscione, Jeffrey S. Bowers
Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be. J. Mach. Learn. Res. 22 (2021)
Valerio Biscione, Jeffrey S. Bowers
Learning Online Visual Invariances for Novel Objects via Supervised and Self-Supervised Training. CoRR (2021)
Ella M. Gale, Nicholas Martin, Ryan Blything, Anh Nguyen, Jeffrey S. Bowers
Are there any 'object detectors' in the hidden layers of CNNs trained to identify objects or scenes? CoRR (2020)
Valerio Biscione, Jeffrey S. Bowers
Learning Translation Invariance in CNNs. CoRR (2020)
Jeff Mitchell, Jeffrey S. Bowers
Harnessing the Symmetry of Convolutions for Systematic Generalisation. IJCNN (2020)
Jeff Mitchell, Jeffrey S. Bowers
Priorless Recurrent Networks Learn Curiously. COLING (2020)
Ryan Blything, Ivan Vankov, Casimir J. H. Ludwig, Jeffrey S. Bowers
Translation Tolerance in Vision. CogSci (2019)
Ivan Vankov, Jeffrey S. Bowers
Out-of-the box neural networks can support combinatorial generalization. CoRR (2019)
Ella Gale, Ryan Blything, Nicholas Martin, Jeffrey S. Bowers, Anh Nguyen
Selectivity metrics provide misleading estimates of the selectivity of single units in neural networks. CogSci (2019)
Ella M. Gale, Nicolas Martin, Jeffrey S. Bowers
When and where do feed-forward neural networks learn localist representations? CoRR (2018)
Ivan Vankov, Jeffrey S. Bowers
When do PDP neural networks learn localist representations? CogSci (2013)
Nicolas Dumay, Jeffrey S. Bowers
Do voices survive lexical consolidation? CogSci (2013)
Nora Andermane, Jeffrey S. Bowers
The Effect of Test Format on Visual Recognition Memory Performance. CogSci (2013)
Jeffrey S. Bowers
What is a grandmother cell? And how would you know if you found one? Connect. Sci. 23 (2) (2011)
Jeffrey S. Bowers, Colin J. Davis
Learning Representations of Wordforms With Recurrent Networks: Comment on. Cogn. Sci. 33 (7) (2009)