PyTorch: An imperative style, high-performance deep learning library A Paszke, S Gross, F Massa, A Lerer, J Bradbury, G Chanan, T Killeen, ...
Advances in Neural Information Processing Systems, 8024-8035, 2019
35537 2019 PaLM: Scaling Language Modeling with Pathways A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ...
arXiv preprint arXiv:2204.02311, 2022
2112 2022 JAX: composable transformations of Python+NumPy programs J Bradbury, R Frostig, P Hawkins, MJ Johnson, C Leary, D Maclaurin, ...
https://github.com/google/jax, 18, 2018
1766 2018 Pointer Sentinel Mixture Models S Merity, C Xiong, J Bradbury, R Socher
ICLR 2017, 2016
1701 2016 Ask me anything: Dynamic memory networks for natural language processing A Kumar, O Irsoy, P Ondruska, M Iyyer, J Bradbury, I Gulrajani, V Zhong, ...
ICML 2016, 2016
1480 2016 Learned in Translation: Contextualized Word Vectors B McCann, J Bradbury, C Xiong, R Socher
NIPS 2017, 2017
1159 2017 Non-Autoregressive Neural Machine Translation J Gu, J Bradbury, C Xiong, VOK Li, R Socher
ICLR 2018, 2018
709 2018 Quasi-Recurrent Neural Networks J Bradbury, S Merity, C Xiong, R Socher
ICLR 2017, 2016
562 2016 Scaling language models: Methods, analysis & insights from training gopher JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ...
arXiv preprint arXiv:2112.11446, 2021
560 2021 Palm 2 technical report R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ...
arXiv preprint arXiv:2305.10403, 2023
302 2023 PaLI: A Jointly-Scaled Multilingual Language-Image Model X Chen, X Wang, S Changpinyo, AJ Piergiovanni, P Padlewski, D Salz, ...
arXiv preprint arXiv:2209.06794, 2022
248 2022 OpenSpiel: A framework for reinforcement learning in games M Lanctot, E Lockhart, JB Lespiau, V Zambaldi, S Upadhyay, J Pérolat, ...
arXiv preprint arXiv:1908.09453, 2019
206 2019 Scaling Up Models and Data with A Roberts, HW Chung, A Levskaya, G Mishra, J Bradbury, D Andor, ...
arXiv preprint arXiv:2203.17189, 2022
82 2022 Efficiently Scaling Transformer Inference R Pope, S Douglas, A Chowdhery, J Devlin, J Bradbury, A Levskaya, ...
MLSys 2023, 2022
60 2022 On Machine Learning and Programming Languages M Innes, S Karpinski, V Shah, D Barber, P Stenetorp, T Besard, ...
SysML 2018, 2018
20 2018 A Flexible Approach to Automated RNN Architecture Generation M Schrimpf, S Merity, J Bradbury, R Socher
ICLR Workshop 2018, 2018
19 2018 Velo: Training versatile learned optimizers by scaling up L Metz, J Harrison, CD Freeman, A Merchant, L Beyer, J Bradbury, ...
arXiv preprint arXiv:2211.09760, 2022
18 2022 MetaMind Neural Machine Translation System for WMT 2016 J Bradbury, R Socher
WMT 2016, 2016
18 2016 Towards Neural Machine Translation with Latent Tree Attention J Bradbury, R Socher
SPNLP 2017, 2017
16 2017 Block-diagonal Hessian-free Optimization for Training Neural Networks H Zhang, C Xiong, J Bradbury, R Socher
arXiv preprint arXiv:1712.07296, 2017
15 2017 
Richard Socheryou.comПотвърден имейл адрес: stanford.edu
