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)

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)

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)

Using Human Psychophysics to Evaluate Generalization in Scene Text Recognition Models. - Sahar Siddiqui; Elena Sizikova; Gemma Roig; Najib J. Majaj; Denis G. Pelli (CoRR, 2020)

Anytime Prediction as a Model of Human Reaction Time. - Omkar Kumbhar; Elena Sizikova; Najib J. Majaj; Denis G. Pelli (CoRR, 2020)

SATBench: Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks. - Ajay Subramanian; Sara Price; Omkar Kumbhar; Elena Sizikova; Najib J. Majaj; Denis G. Pelli (CoRR, 2022)

Spatial-frequency channels, shape bias, and adversarial robustness. - Ajay Subramanian; Elena Sizikova; Najib J. Majaj; Denis G. Pelli (NeurIPS, 2023)