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Hyodong Lee
Hyodong Lee
Ph.D., Massachusetts Institute of Technology
Verified email at cornell.edu
Title
Cited by
Cited by
Year
Improving memory scheduling via processor-side load criticality information
S Ghose, H Lee, JF Martínez
Proceedings of the 40th annual international symposium on computer …, 2013
1002013
Topographic deep artificial neural networks reproduce the hallmarks of the primate inferior temporal cortex face processing network
H Lee, E Margalit, KM Jozwik, MA Cohen, N Kanwisher, DLK Yamins, ...
BioRxiv, 2020.07. 09.185116, 2020
402020
Large scale video representation learning via relational graph clustering
H Lee, J Lee, JYH Ng, P Natsev
Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2020
232020
BioRxiv
H Lee, E Margalit, KM Jozwik, MA Cohen, N Kanwisher, DL Yamins, ...
bioRxiv, 2020
142020
A unifying principle for the functional organization of visual cortex
E Margalit, H Lee, D Finzi, JJ DiCarlo, K Grill-Spector, DLK Yamins
bioRxiv, 2023
72023
Topographic Deep Artificial Neural Networks (TDANNs) predict face selectivity topography in primate inferior temporal (IT) cortex
H Lee, JJ DiCarlo
Conference on Cognitive Computational Neuroscience, 2018
72018
Pinwheel-like iso-orientation domains in a convolutional neural network model
E Margalit, H Lee, J DiCarlo, D Yamins
Journal of Vision 18 (10), 771-771, 2018
22018
Are Topographic Deep Convolutional Neural Networks Better Models of the Ventral Visual Stream?”
K Jozwik, H Lee, JJ DiCarlo
Conference on Cognitive Computational Neuroscience, 2019
12019
Selective behavioral deficits from focal inactivation of primate inferior temporal (IT) cortex: a new quantitative constraint for models of core object recognition
R Rajalingham, H Lee, JJ DiCarlo
Conference on Cognitive Computational Neuroscience, 2018
2018
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