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Mapping core similarity among visual objects across image modalities.

, , , and . SIGGRAPH Posters, page 67:1. ACM, (2014)

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Hierarchical Modular Optimization of Convolutional Networks Achieves Representations Similar to Macaque IT and Human Ventral Stream., , , and . NIPS, page 3093-3101. (2013)Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception., , , , , , , and . NeurIPS, page 15595-15607. (2021)How Well Do Unsupervised Learning Algorithms Model Human Real-time and Life-long Learning?, , , , , , , and . NeurIPS, (2022)Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs., , , , , , , , , and 4 other author(s). NeurIPS, page 12785-12796. (2019)ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation., , , , , , , , , and 14 other author(s). NeurIPS Datasets and Benchmarks, (2021)How far can you get with a modern face recognition test set using only simple features?., , and . CVPR, page 2591-2598. IEEE Computer Society, (2009)Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness., , , , , , and . ICLR, OpenReview.net, (2023)Why is real-world visual object recognition hard?, , and . PLoS computational biology, (2008)Task-Driven Convolutional Recurrent Models of the Visual System., , , , , , , and . NeurIPS, page 5295-5306. (2018)The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark Towards Physically Realistic Embodied AI., , , , , , , , , and 1 other author(s). ICRA, page 8847-8854. IEEE, (2022)