| 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 | 834 | 2019 |
| Neural scene representation and rendering SMA Eslami, D Jimenez Rezende, F Besse, F Viola, AS Morcos, ... Science 360 (6394), 1204-1210, 2018 | 649 | 2018 |
| Convit: Improving vision transformers with soft convolutional inductive biases S d'Ascoli, H Touvron, M Leavitt, A Morcos, G Biroli, L Sagun International Conference on Machine Learning (ICML) 2021, 2021 | 570 | 2021 |
| Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time M Wortsman, G Ilharco, SY Gadre, R Roelofs, R Gontijo-Lopes, ... International Conference on Machine Learning, 23965-23998, 2022 | 361 | 2022 |
| Insights on representational similarity in neural networks with canonical correlation AS Morcos, M Raghu, S Bengio Neural Information Processing Systems (NeurIPS), 2018 | 357 | 2018 |
| 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 | 349* | 2020 |
| On the importance of single directions for generalization AS Morcos, DGT Barrett, NC Rabinowitz, M Botvinick International Conference on Learning Representations (ICLR), 2018 | 319 | 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 | 304* | 2018 |
| History-dependent variability in population dynamics during evidence accumulation in cortex AS Morcos, CD Harvey Nature neuroscience 19 (12), 1672-1681, 2016 | 254 | 2016 |
| 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 | 218 | 2019 |
| The early phase of neural network training J Frankle, DJ Schwab, AS Morcos International Conference on Learning Representations (ICLR), 2020 | 149 | 2020 |
| Beyond neural scaling laws: beating power law scaling via data pruning B Sorscher, R Geirhos, S Shekhar, S Ganguli, AS Morcos Neural Information Processing Systems (NeurIPS) [Outstanding Paper], 2022 | 143 | 2022 |
| 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 | 129 | 2020 |
| Training batchnorm and only batchnorm: On the expressive power of random features in cnns J Frankle, DJ Schwab, AS Morcos International Conference on Learning Representations (ICLR), 2021 | 110 | 2021 |
| 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 | 109 | 2019 |
| A cookbook of self-supervised learning R Balestriero, M Ibrahim, V Sobal, A Morcos, S Shekhar, T Goldstein, ... arXiv preprint arXiv:2304.12210, 2023 | 87 | 2023 |
| 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 | 85 | 2019 |
| The generalization-stability tradeoff in neural network pruning BR Bartoldson, AS Morcos, A Barbu, G Erlebacher Neural Information Processing Systems (NeurIPS), 2020 | 74 | 2020 |
| 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 | 64* | 2018 |
| Towards falsifiable interpretability research ML Leavitt, A Morcos arXiv preprint arXiv:2010.12016, 2020 | 61 | 2020 |
Avraham RudermanResearch Scientist, DeepMindVerified email at google.com
