Các bài viết có thể truy cập công khai - Daniel YaminsTìm hiểu thêm
Có tại một số nơi: 45
Performance-optimized hierarchical models predict neural responses in higher visual cortex
DLK Yamins, H Hong, CF Cadieu, EA Solomon, D Seibert, JJ DiCarlo
Proceedings of the national academy of sciences 111 (23), 8619-8624, 2014
Các cơ quan ủy nhiệm: US National Institutes of Health
A deep learning framework for neuroscience
BA Richards, TP Lillicrap, P Beaudoin, Y Bengio, R Bogacz, ...
Nature neuroscience 22 (11), 1761-1770, 2019
Các cơ quan ủy nhiệm: UK Biotechnology and Biological Sciences Research Council, UK Medical …
Hyperopt: a python library for model selection and hyperparameter optimization
J Bergstra, B Komer, C Eliasmith, D Yamins, DD Cox
Computational Science & Discovery 8 (1), 014008, 2015
Các cơ quan ủy nhiệm: Natural Sciences and Engineering Research Council of Canada
Deep neural networks rival the representation of primate IT cortex for core visual object recognition
CF Cadieu, H Hong, DLK Yamins, N Pinto, D Ardila, EA Solomon, ...
PLoS computational biology 10 (12), e1003963, 2014
Các cơ quan ủy nhiệm: US National Institutes of Health
Pruning neural networks without any data by iteratively conserving synaptic flow
H Tanaka, D Kunin, DL Yamins, S Ganguli
Advances in neural information processing systems 33, 6377-6389, 2020
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense, Wellcome Trust
Brain-score: Which artificial neural network for object recognition is most brain-like?
M Schrimpf, J Kubilius, H Hong, NJ Majaj, R Rajalingham, EB Issa, K Kar, ...
BioRxiv, 407007, 2018
Các cơ quan ủy nhiệm: US Department of Defense, US National Institutes of Health, European Commission
A task-optimized neural network replicates human auditory behavior, predicts brain responses, and reveals a cortical processing hierarchy
AJE Kell, DLK Yamins, EN Shook, SV Norman-Haignere, JH McDermott
Neuron 98 (3), 630-644. e16, 2018
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Energy, US National …
Local aggregation for unsupervised learning of visual embeddings
C Zhuang, AL Zhai, D Yamins
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
Các cơ quan ủy nhiệm: US National Science Foundation, US National Institutes of Health
Unsupervised neural network models of the ventral visual stream
C Zhuang, S Yan, A Nayebi, M Schrimpf, MC Frank, JJ DiCarlo, ...
Proceedings of the National Academy of Sciences 118 (3), e2014196118, 2021
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense, US National …
Explicit information for category-orthogonal object properties increases along the ventral stream
H Hong, DLK Yamins, NJ Majaj, JJ DiCarlo
Nature neuroscience 19 (4), 613-622, 2016
Các cơ quan ủy nhiệm: US National Science Foundation, US National Institutes of Health
Brain-like object recognition with high-performing shallow recurrent ANNs
J Kubilius, M Schrimpf, K Kar, R Rajalingham, H Hong, N Majaj, E Issa, ...
Advances in neural information processing systems 32, 2019
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense, US National …
Flexible neural representation for physics prediction
D Mrowca, C Zhuang, E Wang, N Haber, LF Fei-Fei, J Tenenbaum, ...
Advances in neural information processing systems 31, 2018
Các cơ quan ủy nhiệm: US Department of Defense
Task-driven convolutional recurrent models of the visual system
A Nayebi, D Bear, J Kubilius, K Kar, S Ganguli, D Sussillo, JJ DiCarlo, ...
Advances in neural information processing systems 31, 2018
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense, US National …
Cornet: Modeling the neural mechanisms of core object recognition
J Kubilius, M Schrimpf, A Nayebi, D Bear, DLK Yamins, JJ DiCarlo
BioRxiv, 408385, 2018
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense, US National …
Learning to play with intrinsically-motivated, self-aware agents
N Haber, D Mrowca, S Wang, LF Fei-Fei, DL Yamins
Advances in neural information processing systems 31, 2018
Các cơ quan ủy nhiệm: US Department of Defense, US National Institutes of Health
Identification and Functional Validation of the Novel Antimalarial Resistance Locus PF10_0355 in Plasmodium falciparum
D Van Tyne, DJ Park, SF Schaffner, DE Neafsey, E Angelino, JF Cortese, ...
PLoS genetics 7 (4), e1001383, 2011
Các cơ quan ủy nhiệm: US National Institutes of Health
Learning physical graph representations from visual scenes
D Bear, C Fan, D Mrowca, Y Li, S Alter, A Nayebi, J Schwartz, LF Fei-Fei, ...
Advances in Neural Information Processing Systems 33, 6027-6039, 2020
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
Unsupervised learning from video with deep neural embeddings
C Zhuang, T She, A Andonian, MS Mark, D Yamins
Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020
Các cơ quan ủy nhiệm: US National Science Foundation, US National Institutes of Health
Common object representations for visual production and recognition
JE Fan, DLK Yamins, NB Turk‐Browne
Cognitive science 42 (8), 2670-2698, 2018
Các cơ quan ủy nhiệm: US National Science Foundation, US National Institutes of Health
Active world model learning with progress curiosity
K Kim, M Sano, J De Freitas, N Haber, D Yamins
International conference on machine learning, 5306-5315, 2020
Các cơ quan ủy nhiệm: US National Science Foundation, US Department of Defense
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