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James Bradbury
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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
433052019
PaLM: Scaling Language Modeling with Pathways
A Chowdhery, S Narang, J Devlin, M Bosma, G Mishra, A Roberts, ...
arXiv preprint arXiv:2204.02311, 2022
37862022
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
23502018
Pointer Sentinel Mixture Models
S Merity, C Xiong, J Bradbury, R Socher
ICLR 2017, 2016
20412016
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
15292016
Learned in Translation: Contextualized Word Vectors
B McCann, J Bradbury, C Xiong, R Socher
NIPS 2017, 2017
12282017
Palm 2 technical report
R Anil, AM Dai, O Firat, M Johnson, D Lepikhin, A Passos, S Shakeri, ...
arXiv preprint arXiv:2305.10403, 2023
9602023
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
8172021
Non-Autoregressive Neural Machine Translation
J Gu, J Bradbury, C Xiong, VOK Li, R Socher
ICLR 2018, 2018
8012018
Quasi-Recurrent Neural Networks
J Bradbury, S Merity, C Xiong, R Socher
ICLR 2017, 2016
6062016
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
4602022
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
2532019
Efficiently Scaling Transformer Inference
R Pope, S Douglas, A Chowdhery, J Devlin, J Bradbury, A Levskaya, ...
MLSys 2023, 2022
1642022
Scaling Up Models and Data with and
A Roberts, HW Chung, A Levskaya, G Mishra, J Bradbury, D Andor, ...
arXiv preprint arXiv:2203.17189, 2022
123*2022
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
472022
On Machine Learning and Programming Languages
M Innes, S Karpinski, V Shah, D Barber, P Stenetorp, T Besard, ...
SysML 2018, 2018
222018
A Flexible Approach to Automated RNN Architecture Generation
M Schrimpf, S Merity, J Bradbury, R Socher
ICLR Workshop 2018, 2018
212018
Exploring the limits of Concurrency in ML Training on Google TPUs
S Kumar, Y Wang, C Young, J Bradbury, N Kumar, D Chen, A Swing
MLSys 2021, 2021
182021
MetaMind Neural Machine Translation System for WMT 2016
J Bradbury, R Socher
WMT 2016, 2016
182016
Towards Neural Machine Translation with Latent Tree Attention
J Bradbury, R Socher
SPNLP 2017, 2017
172017
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Articles 1–20