Deep problems with neural network models of human vision JS Bowers, G Malhotra, M Dujmović, ML Montero, C Tsvetkov, V Biscione, ... Behavioral and Brain Sciences 46, e385, 2023 | 102 | 2023 |
The role of capacity constraints in Convolutional Neural Networks for learning random versus natural data C Tsvetkov, G Malhotra, BD Evans, JS Bowers Neural Networks 161, 515-524, 2023 | 5 | 2023 |
Adding biological constraints to deep neural networks reduces their capacity to learn unstructured data. C Tsvetkov, G Malhotra, B Evans, JS Bowers CogSci, 2020 | 5 | 2020 |
Introducing the MindSet benchmark for comparing DNNs to human vision V Biscione, D Yin, G Malhotra, M Dujmović, M Montero, G Puebla, ... PsyArXiv, 2023 | 2 | 2023 |
Clarifying status of DNNs as models of human vision JS Bowers, G Malhotra, M Dujmović, ML Montero, C Tsvetkov, V Biscione, ... Behavioral and Brain Sciences 46, 2023 | 1 | 2023 |
Combining meta-learned models with process models of cognition AN Sanborn, H Yan, C Tsvetkov Behavioral and Brain Sciences, 2024 | | 2024 |
Disagreement and confusion over the status of DNNs as models of vision JS Bowers, G Malhotra, M Dujmović, M Montero, C Tsvetkov, G Puebla, ... PsyArXiv, 2023 | | 2023 |
This Target Article has been accepted for publication and has not yet been copyedited and proofread. The article may be cited using its doi (About doi), but it must be made … G Malhotra, M Dujmović, ML Montero, C Tsvetkov, V Biscione, G Puebla, ... | | |
Deep Problems with Neural Network Models of Human Vision G Malhotra, M Dujmović, ML Montero, C Tsvetkov, V Biscione, G Puebla, ... | | |