Ari S. Morcos
Ari S. Morcos
Research Scientist, Facebook AI Research
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Human-level performance in 3D multiplayer games with population-based reinforcement learning
M Jaderberg, WM Czarnecki, I Dunning, L Marris, G Lever, AG Castaneda, ...
Science 364 (6443), 859-865, 2019
Neural scene representation and rendering
SMA Eslami, DJ Rezende, F Besse, F Viola, AS Morcos, M Garnelo, ...
Science 360 (6394), 1204-1210, 2018
On the importance of single directions for generalization
AS Morcos, DGT Barrett, NC Rabinowitz, M Botvinick
International Conference on Learning Representations (ICLR) 2018, 2018
History-dependent variability in population dynamics during evidence accumulation in cortex
AS Morcos, CD Harvey
Nature neuroscience 19 (12), 1672-1681, 2016
Insights on representational similarity in neural networks with canonical correlation
AS Morcos, M Raghu, S Bengio
Neural Information Processing Systems (NeurIPS), 2018
Measuring abstract reasoning in neural networks
A Santoro, F Hill, D Barrett, A Morcos, T Lillicrap
International Conference on Machine Learning, 4477-4486, 2018
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers
AS Morcos, H Yu, M Paganini, Y Tian
Neural Information Processing Systems (NeurIPS), 2019
Analyzing biological and artificial neural networks: challenges with opportunities for synergy?
DGT Barrett, AS Morcos, JH Macke
Current opinion in neurobiology 55, 55-64, 2019
Decentralized Distributed PPO: Solving PointGoal Navigation
E Wijmans, A Kadian, A Morcos, S Lee, I Essa, D Parikh, M Savva, ...
International Conference on Learning Representations (ICLR) 2020, 2020
REST regulates non–cell-autonomous neuronal differentiation and maturation of neural progenitor cells via secretogranin II
HJ Kim, AM Denli, R Wright, TD Baul, GD Clemenson, AS Morcos, C Zhao, ...
Journal of Neuroscience 35 (44), 14872-14884, 2015
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP
H Yu, S Edunov, Y Tian, AS Morcos
International Conference on Learning Representations (ICLR) 2020, 2019
Learning to Make Analogies by Contrasting Abstract Relational Structure
F Hill, A Santoro, D Barrett, A Morcos, T Lillicrap
International Conference on Learning Representations (ICLR) 2019, 2019
Pooling is neither necessary nor sufficient for appropriate deformation stability in CNNs
A Ruderman, N Rabinowitz, AS Morcos, D Zoran
arXiv preprint arXiv:1804.04438, 2018
The early phase of neural network training
J Frankle, DJ Schwab, AS Morcos
International Conference on Learning Representations (ICLR) 2020, 2020
Luck matters: Understanding training dynamics of deep relu networks
Y Tian, T Jiang, Q Gong, A Morcos
arXiv preprint arXiv:1905.13405, 2019
Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs
J Frankle, DJ Schwab, AS Morcos
arXiv preprint arXiv:2003.00152, 2020
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs
ML Leavitt, A Morcos
arXiv preprint arXiv:2003.01262, 2020
The generalization-stability tradeoff in neural network pruning
BR Bartoldson, AS Morcos, A Barbu, G Erlebacher
Neural Information Processing Systems (NeurIPS) 2020, 2020
Pruning Convolutional Neural Networks with Self-Supervision
M Caron, A Morcos, P Bojanowski, J Mairal, A Joulin
arXiv preprint arXiv:2001.03554, 2020
Plan2Vec: Unsupervised Representation Learning by Latent Plans
G Yang, A Zhang, AS Morcos, J Pineau, P Abbeel, R Calandra
Learning for Dynamics and Control (L4DC) 2020, 2020
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Artiklar 1–20