DiCarlo, James J.

18 publications

ICLR 2025 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

CPAL 2024 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

ICLR 2023 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

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

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

NeurIPSW 2022 Implementing Divisive Normalization in CNNs Improves Robustness to Common Image Corruptions Andrew Cirincione, Reginald Verrier, Artiom Bic, Stephanie Olaiya, James J. DiCarlo, Lawrence Udeigwe, Tiago Marques

NeurIPSW 2022 Measuring the Alignment of ANNs and Primate V1 on Luminance and Contrast Response Characteristics Stephanie Olaiya, Tiago Marques, James J. DiCarlo

NeurIPSW 2022 Primate Inferotemporal Cortex Neurons Generalize Better to Novel Image Distributions than Analogous Deep Neural Networks Units Ayu Marliawaty I Gusti Bagus, Tiago Marques, Sachi Sanghavi, James J. DiCarlo, Martin Schrimpf

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

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

NeurIPS 2021 Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception Joel Dapello, Jenelle Feather, Hang Le, Tiago Marques, David Cox, Josh McDermott, James J DiCarlo, Sueyeon Chung

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

NeurIPS 2019 Brain-like Object Recognition with High-Performing Shallow Recurrent ANNs Jonas Kubilius, Martin Schrimpf, Kohitij Kar, Rishi Rajalingham, Ha Hong, Najib Majaj, Elias Issa, Pouya Bashivan, Jonathan Prescott-Roy, Kailyn Schmidt, Aran Nayebi, Daniel Bear, Daniel L Yamins, James J DiCarlo

NeurIPS 2018 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 Yamins

NeurIPS 2013 Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream Daniel L Yamins, Ha Hong, Charles Cadieu, James J DiCarlo

ICLR 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

CVPR 2009 How Far Can You Get with a Modern Face Recognition Test Set Using Only Simple Features? Nicolas Pinto, James J. DiCarlo, David D. Cox