James J. DiCarlo

42 papers A* 15A 1Journal 22Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement. ICLR Morgan Bruce Talbot, Gabriel Kreiman, James J. DiCarlo, Guy Gaziv
2025	J	`jnl`	Noninvasive precision modulation of high-level neural population activity via natural vision perturbations. CoRR Guy Gaziv, Sarah Goulding, Ani Ayvazian-Hancock, Yoon Bai, James J. DiCarlo
2025	A*	`conf`	Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representations. ICLR Yudi Xie, Weichen Huang, Esther Alter, Jeremy Schwartz, Joshua B. Tenenbaum, James J. DiCarlo
2024	J	`jnl`	How does the primate brain combine generative and discriminative computations in vision? CoRR Benjamin Peters, James J. DiCarlo, Todd M. Gureckis, Ralf Haefner, Leyla Isik, Joshua B. Tenenbaum, Talia Konkle, Thomas Naselaris, Kimberly L. Stachenfeld, Zenna Tavares, Doris Tsao, Ilker Yildirim, Nikolaus Kriegeskorte
2024	J	`jnl`	L-WISE: Boosting Human Image Category Learning Through Model-Based Image Selection And Enhancement. CoRR Morgan B. Talbot, Gabriel Kreiman, James J. DiCarlo, Guy Gaziv
2024	—	`conf`	Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds. CPAL Michael Kuoch, Chi-Ning Chou, Nikhil Parthasarathy, Joel Dapello, James J. DiCarlo, Haim Sompolinsky, SueYeon Chung
2024	J	`jnl`	Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representations. CoRR Yudi Xie, Weichen Huang, Esther Alter, Jeremy Schwartz, Joshua B. Tenenbaum, James J. DiCarlo
2023	A*	`conf`	Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness. ICLR Joel Dapello, Kohitij Kar, Martin Schrimpf, Robert Baldwin Geary, Michael Ferguson, David Daniel Cox, James J. DiCarlo
2023	J	`jnl`	How well do rudimentary plasticity rules predict adult visual object learning? PLoS Comput. Biol. Michael J. Lee, James J. DiCarlo
2023	J	`jnl`	Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds. CoRR Michael Kuoch, Chi-Ning Chou, Nikhil Parthasarathy, Joel Dapello, James J. DiCarlo, Haim Sompolinsky, SueYeon Chung
2023	J	`jnl`	Robustified ANNs Reveal Wormholes Between Human Category Percepts. CoRR Guy Gaziv, Michael J. Lee, James J. DiCarlo
2023	A*	`conf`	Strong and Precise Modulation of Human Percepts via Robustified ANNs. NeurIPS Guy Gaziv, Michael J. Lee, James J. DiCarlo
2022	A*	`conf`	Adversarially trained neural representations are already as robust as biological neural representations. ICML Chong Guo, Michael J. Lee, Guillaume Leclerc, Joel Dapello, Yug Rao, Aleksander Madry, James J. DiCarlo
2022	J	`jnl`	Adversarially trained neural representations may already be as robust as corresponding biological neural representations. CoRR Chong Guo, Michael J. Lee, Guillaume Leclerc, Joel Dapello, Yug Rao, Aleksander Madry, James J. DiCarlo
2022	A*	`conf`	How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning? NeurIPS Chengxu Zhuang, Ziyu Xiang, Yoon Bai, Xiaoxuan Jia, Nicholas B. Turk-Browne, Kenneth A. Norman, James J. DiCarlo, Dan Yamins
2022	J	`jnl`	Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition. Neural Comput. Aran Nayebi, Javier Sagastuy-Breña, Daniel M. Bear, Kohitij Kar, Jonas Kubilius, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins
2022	A*	`conf`	The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI. ICRA Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J. DiCarlo, Josh H. McDermott, Antonio Torralba, Joshua B. Tenenbaum
2022	A*	`conf`	Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream. ICLR Franziska Geiger, Martin Schrimpf, Tiago Marques, James J. DiCarlo
2021	J	`jnl`	Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs. CoRR Avinash Baidya, Joel Dapello, James J. DiCarlo, Tiago Marques
2021	A*	`conf`	Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception. NeurIPS Joel Dapello, Jenelle Feather, Hang Le, Tiago Marques, David D. Cox, Josh H. McDermott, James J. DiCarlo, SueYeon Chung
2021	J	`jnl`	Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception. CoRR Joel Dapello, Jenelle Feather, Hang Le, Tiago Marques, David D. Cox, Josh H. McDermott, James J. DiCarlo, SueYeon Chung
2021	J	`jnl`	The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI. CoRR Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J. DiCarlo, Josh H. McDermott, Antonio Torralba, Joshua B. Tenenbaum
2021	—	`conf`	ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. NeurIPS Datasets and Benchmarks Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel Bear, Dan Gutfreund, David D. Cox, Antonio Torralba, James J. DiCarlo, Josh Tenenbaum, Josh H. McDermott, Dan Yamins
2021	J	`jnl`	Unsupervised neural network models of the ventral visual stream. Proc. Natl. Acad. Sci. USA Chengxu Zhuang, Siming Yan, Aran Nayebi, Martin Schrimpf, Michael C. Frank, James J. DiCarlo, Daniel L. K. Yamins
2020	A*	`conf`	Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations. NeurIPS Joel Dapello, Tiago Marques, Martin Schrimpf, Franziska Geiger, David D. Cox, James J. DiCarlo
2020	J	`jnl`	ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. CoRR Chuang Gan, Jeremy Schwartz, Seth Alter, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Damian Mrowca, Michael Lingelbach, Aidan Curtis, Kevin T. Feigelis, Daniel M. Bear, Dan Gutfreund, David D. Cox, James J. DiCarlo, Josh H. McDermott, Joshua B. Tenenbaum, Daniel L. K. Yamins
2019	A*	`conf`	Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. NeurIPS Jonas Kubilius, Martin Schrimpf, Ha Hong, Najib J. Majaj, Rishi Rajalingham, Elias B. Issa, Kohitij Kar, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L. K. Yamins, James J. DiCarlo
2019	J	`jnl`	Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. CoRR Jonas Kubilius, Martin Schrimpf, Ha Hong, Najib J. Majaj, Rishi Rajalingham, Elias B. Issa, Kohitij Kar, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L. K. Yamins, James J. DiCarlo
2019	A*	`conf`	Teacher Guided Architecture Search. ICCV Pouya Bashivan, Mark Tensen, James J. DiCarlo
2018	A*	`conf`	Task-Driven Convolutional Recurrent Models of the Visual System. NeurIPS Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins
2018	J	`jnl`	Task-Driven Convolutional Recurrent Models of the Visual System. CoRR Aran Nayebi, Daniel Bear, Jonas Kubilius, Kohitij Kar, Surya Ganguli, David Sussillo, James J. DiCarlo, Daniel L. K. Yamins
2018	J	`jnl`	Teacher Guided Architecture Search. CoRR Pouya Bashivan, Mark Tensen, James J. DiCarlo
2014	J	`jnl`	Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition. CoRR Charles F. Cadieu, Ha Hong, Daniel Yamins, Nicolas Pinto, Diego Ardila, Ethan A. Solomon, Najib J. Majaj, James J. DiCarlo
2014	J	`jnl`	Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition. PLoS Comput. Biol. Charles F. Cadieu, Ha Hong, Daniel Yamins, Nicolas Pinto, Diego Ardila, Ethan A. Solomon, Najib J. Majaj, James J. DiCarlo
2014	—	`conf`	Mapping core similarity among visual objects across image modalities. SIGGRAPH Posters Judith E. Fan, Daniel Yamins, James J. DiCarlo, Nicholas B. Turk-Browne
2013	—	`conf`	Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream. NIPS Daniel Yamins, Ha Hong, Charles F. Cadieu, James J. DiCarlo
2013	J	`jnl`	Shape Similarity, Better than Semantic Membership, Accounts for the Structure of Visual Object Representations in a Population of Monkey Inferotemporal Neurons. PLoS Comput. Biol. Carlo Baldassi, Alireza Alemi-Neissi, Marino Pagan, James J. DiCarlo, Riccardo Zecchina, Davide Zoccolan
2013	A*	`conf`	The Neural Representation Benchmark and its Evaluation on Brain and Machine ICLR Charles F. Cadieu, Ha Hong, Dan Yamins, Nicolas Pinto, Najib J. Majaj, James J. DiCarlo
2011	A	`conf`	Comparing state-of-the-art visual features on invariant object recognition tasks. WACV Nicolas Pinto, Youssef Barhomi, David D. Cox, James J. DiCarlo
2009	J	`jnl`	A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation. PLoS Comput. Biol. Nicolas Pinto, David Doukhan, James J. DiCarlo, David D. Cox
2009	A*	`conf`	How far can you get with a modern face recognition test set using only simple features?. CVPR Nicolas Pinto, James J. DiCarlo, David D. Cox
2008	J	`jnl`	Why is Real-World Visual Object Recognition Hard? PLoS Comput. Biol. Nicolas Pinto, David D. Cox, James J. DiCarlo