Why is Real-World Visual Object Recognition Hard? - Nicolas Pinto; David D. Cox; James J. DiCarlo (PLoS Comput. Biol., 2008)

How far can you get with a modern face recognition test set using only simple features?. - Nicolas Pinto; James J. DiCarlo; David D. Cox (CVPR, 2009)

A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation. - Nicolas Pinto; David Doukhan; James J. DiCarlo; David D. Cox (PLoS Comput. Biol., 2009)

Comparing state-of-the-art visual features on invariant object recognition tasks. - Nicolas Pinto; Youssef Barhomi; David D. Cox; James J. DiCarlo (WACV, 2011)

Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream. - Daniel Yamins; Ha Hong; Charles F. Cadieu; James J. DiCarlo (NIPS, 2013)

The Neural Representation Benchmark and its Evaluation on Brain and Machine - Charles F. Cadieu; Ha Hong; Dan Yamins; Nicolas Pinto; Najib J. Majaj; James J. DiCarlo (ICLR, 2013)

Shape Similarity, Better than Semantic Membership, Accounts for the Structure of Visual Object Representations in a Population of Monkey Inferotemporal Neurons. - Carlo Baldassi; Alireza Alemi-Neissi; Marino Pagan; James J. DiCarlo; Riccardo Zecchina; Davide Zoccolan (PLoS Comput. Biol., 2013)

Mapping core similarity among visual objects across image modalities. - Judith E. Fan; Daniel Yamins; James J. DiCarlo; Nicholas B. Turk-Browne (SIGGRAPH Posters, 2014)

Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition. - Charles F. Cadieu; Ha Hong; Daniel Yamins; Nicolas Pinto; Diego Ardila; Ethan A. Solomon; Najib J. Majaj; James J. DiCarlo (PLoS Comput. Biol., 2014)

Task-Driven Convolutional Recurrent Models of the Visual System. - Aran Nayebi; Daniel Bear; Jonas Kubilius; Kohitij Kar; Surya Ganguli; David Sussillo; James J. DiCarlo; Daniel L. K. Yamins (NeurIPS, 2018)

Teacher Guided Architecture Search. - Pouya Bashivan; Mark Tensen; James J. DiCarlo (ICCV, 2019)

Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs. - 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; et al. (NeurIPS, 2019)

Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations. - Joel Dapello; Tiago Marques; Martin Schrimpf; Franziska Geiger; David D. Cox; James J. DiCarlo (NeurIPS, 2020)

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. - Chuang Gan 001; Jeremy Schwartz; Seth Alter; Martin Schrimpf; James Traer; Julian De Freitas; Jonas Kubilius; Abhishek Bhandwaldar; Nick Haber; Megumi Sano; Kuno Kim; Elias Wang; et al. (CoRR, 2020)

Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception. - Joel Dapello; Jenelle Feather; Hang Le 002; Tiago Marques; David D. Cox; Josh H. McDermott; James J. DiCarlo; SueYeon Chung (NeurIPS, 2021)

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation. - Chuang Gan 001; Jeremy Schwartz; Seth Alter; Damian Mrowca; Martin Schrimpf; James Traer; Julian De Freitas; Jonas Kubilius; Abhishek Bhandwaldar; Nick Haber; Megumi Sano; Kuno Kim; et al. (NeurIPS Datasets and Benchmarks, 2021)

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI. - Chuang Gan 001; Siyuan Zhou; Jeremy Schwartz; Seth Alter; Abhishek Bhandwaldar; Dan Gutfreund; Daniel L. K. Yamins; James J. DiCarlo; Josh H. McDermott; Antonio Torralba 001; Joshua B. Tenenbaum (CoRR, 2021)

Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs. - Avinash Baidya; Joel Dapello; James J. DiCarlo; Tiago Marques (CoRR, 2021)

Unsupervised neural network models of the ventral visual stream. - Chengxu Zhuang; Siming Yan; Aran Nayebi; Martin Schrimpf; Michael C. Frank; James J. DiCarlo; Daniel L. K. Yamins (Proc. Natl. Acad. Sci. USA, 2021)

Wiring Up Vision: Minimizing Supervised Synaptic Updates Needed to Produce a Primate Ventral Stream. - Franziska Geiger; Martin Schrimpf; Tiago Marques; James J. DiCarlo (ICLR, 2022)

Adversarially trained neural representations are already as robust as biological neural representations. - Chong Guo; Michael J. Lee; Guillaume Leclerc; Joel Dapello; Yug Rao; Aleksander Madry; James J. DiCarlo (ICML, 2022)

The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI. - Chuang Gan 001; Siyuan Zhou; Jeremy Schwartz; Seth Alter; Abhishek Bhandwaldar; Dan Gutfreund; Daniel L. K. Yamins; James J. DiCarlo; Josh H. McDermott; Antonio Torralba 001; Joshua B. Tenenbaum (ICRA, 2022)

How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning? - Chengxu Zhuang; Ziyu Xiang; Yoon Bai; Xiaoxuan Jia; Nicholas B. Turk-Browne; Kenneth A. Norman; James J. DiCarlo; Dan Yamins (NeurIPS, 2022)

Adversarially trained neural representations may already be as robust as corresponding biological neural representations. - Chong Guo; Michael J. Lee; Guillaume Leclerc; Joel Dapello; Yug Rao; Aleksander Madry; James J. DiCarlo (CoRR, 2022)

Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object Recognition. - Aran Nayebi; Javier Sagastuy-Breña; Daniel M. Bear; Kohitij Kar; Jonas Kubilius; Surya Ganguli; David Sussillo; James J. DiCarlo; Daniel L. K. Yamins (Neural Comput., 2022)

Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness. - Joel Dapello; Kohitij Kar; Martin Schrimpf; Robert Baldwin Geary; Michael Ferguson; David Daniel Cox; James J. DiCarlo (ICLR, 2023)

Strong and Precise Modulation of Human Percepts via Robustified ANNs. - Guy Gaziv; Michael J. Lee; James J. DiCarlo (NeurIPS, 2023)

Robustified ANNs Reveal Wormholes Between Human Category Percepts. - Guy Gaziv; Michael J. Lee; James J. DiCarlo (CoRR, 2023)

How well do rudimentary plasticity rules predict adult visual object learning? - Michael J. Lee; James J. DiCarlo (PLoS Comput. Biol., 2023)

Probing Biological and Artificial Neural Networks with Task-dependent Neural Manifolds. - Michael Kuoch; Chi-Ning Chou; Nikhil Parthasarathy; Joel Dapello; James J. DiCarlo; Haim Sompolinsky; SueYeon Chung (CPAL, 2024)

How does the primate brain combine generative and discriminative computations in vision? - 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; et al. (CoRR, 2024)

L-WISE: Boosting Human Image Category Learning Through Model-Based Image Selection And Enhancement. - Morgan B. Talbot; Gabriel Kreiman; James J. DiCarlo; Guy Gaziv (CoRR, 2024)

L-WISE: Boosting Human Visual Category Learning Through Model-Based Image Selection and Enhancement. - Morgan Bruce Talbot; Gabriel Kreiman; James J. DiCarlo; Guy Gaziv (ICLR, 2025)

Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representations. - Yudi Xie; Weichen Huang; Esther Alter; Jeremy Schwartz; Joshua B. Tenenbaum; James J. DiCarlo (ICLR, 2025)

Noninvasive precision modulation of high-level neural population activity via natural vision perturbations. - Guy Gaziv; Sarah Goulding; Ani Ayvazian-Hancock; Yoon Bai; James J. DiCarlo (CoRR, 2025)