Simon Kornblith
Simon Kornblith
Google Brain
Geverifieerd e-mailadres voor google.com
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A simple framework for contrastive learning of visual representations
T Chen, S Kornblith, M Norouzi, G Hinton
Proceedings of the 37th International Conference on Machine Learning, 2020
4612020
Do better ImageNet models transfer better?
S Kornblith, J Shlens, QV Le
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
3562019
Latency and selectivity of single neurons indicate hierarchical processing in the human medial temporal lobe
F Mormann, S Kornblith, RQ Quiroga, A Kraskov, M Cerf, I Fried, C Koch
Journal of neuroscience 28 (36), 8865-8872, 2008
2212008
When does label smoothing help?
R Müller, S Kornblith, G Hinton
Advances in Neural Information Processing Systems, 2019, 2019
1932019
A category-specific response to animals in the right human amygdala
F Mormann, J Dubois, S Kornblith, M Milosavljevic, M Cerf, M Ison, ...
Nature neuroscience 14 (10), 1247-1249, 2011
1422011
A network for scene processing in the macaque temporal lobe
S Kornblith, X Cheng, S Ohayon, DY Tsao
Neuron 79 (4), 766-781, 2013
992013
Similarity of neural network representations revisited
S Kornblith, M Norouzi, H Lee, G Hinton
Proceedings of the 36th International Conference on Machine Learning 97 …, 2019
922019
Laminar recordings in frontal cortex suggest distinct layers for maintenance and control of working memory
AM Bastos, R Loonis, S Kornblith, M Lundqvist, EK Miller
Proceedings of the National Academy of Sciences 115 (5), 1117-1122, 2018
902018
Domain adaptive transfer learning with specialist models
J Ngiam, D Peng, V Vasudevan, S Kornblith, QV Le, R Pang
arXiv preprint arXiv:1811.07056, 2018
482018
Stimulus load and oscillatory activity in higher cortex
S Kornblith, TJ Buschman, EK Miller
Cerebral Cortex 26 (9), 3772-3784, 2016
472016
Big self-supervised models are strong semi-supervised learners
T Chen, S Kornblith, K Swersky, M Norouzi, GE Hinton
Advances in Neural Information Processing Systems 33, 2020
462020
Persistent single-neuron activity during working memory in the human medial temporal lobe
S Kornblith, RQ Quiroga, C Koch, I Fried, F Mormann
Current Biology, 2017
452017
Scene-selective coding by single neurons in the human parahippocampal cortex
F Mormann*, S Kornblith*, M Cerf, MJ Ison, A Kraskov, M Tran, S Knieling, ...
Proceedings of the National Academy of Sciences 114 (5), 1153-1158, 2017
222017
Custom-fit radiolucent cranial implants for neurophysiological recording and stimulation
GH Mulliken, NP Bichot, A Ghadooshahy, J Sharma, S Kornblith, ...
Journal of neuroscience methods 241, 146-154, 2015
142015
How thoughts arise from sights: inferotemporal and prefrontal contributions to vision
S Kornblith, DY Tsao
Current Opinion in Neurobiology 46, 208-218, 2017
122017
The origins and prevalence of texture bias in convolutional neural networks
K Hermann, T Chen, S Kornblith
Advances in Neural Information Processing Systems 33, 2020
10*2020
Saccader: Improving accuracy of hard attention models for vision
GF Elsayed, S Kornblith, QV Le
Advances in Neural Information Processing Systems, 2019, 2019
92019
Lipschitz networks and distributional robustness
Z Cranko, S Kornblith, Z Shi, R Nock
arXiv preprint arXiv:1809.01129, 2018
82018
Subclass distillation
R Müller, S Kornblith, G Hinton
arXiv preprint arXiv:2002.03936, 2020
52020
Cerberus: A multi-headed derenderer
B Deng, S Kornblith, G Hinton
3D Scene Understanding Workshop, CVPR 2019, 2019
52019
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Artikelen 1–20