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Sam Shleifer
Sam Shleifer
Facebook AI Research
Zweryfikowany adres z fb.com
Tytuł
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Cytowane przez
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Transformers: State-of-the-art natural language processing
T Wolf, L Debut, V Sanh, J Chaumond, C Delangue, A Moi, P Cistac, ...
Proceedings of the 2020 conference on empirical methods in natural language …, 2020
53562020
Huggingface's transformers: State-of-the-art natural language processing
T Wolf
arXiv preprint arXiv:1910.03771, 2019
31722019
Opt: Open pre-trained transformer language models
S Zhang, S Roller, N Goyal, M Artetxe, M Chen, S Chen, C Dewan, ...
arXiv preprint arXiv:2205.01068, 2022
22382022
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
10322022
8-bit optimizers via block-wise quantization
T Dettmers, M Lewis, S Shleifer, L Zettlemoyer
arXiv preprint arXiv:2110.02861, 2021
1902021
Pytorch fsdp: experiences on scaling fully sharded data parallel
Y Zhao, A Gu, R Varma, L Luo, CC Huang, M Xu, L Wright, H Shojanazeri, ...
arXiv preprint arXiv:2304.11277, 2023
1522023
Opt: Open pre-trained transformer language models, 2022
S Zhang, S Roller, N Goyal, M Artetxe, M Chen, S Chen, C Dewan, ...
URL https://arxiv. org/abs/2205.01068 3, 19-0, 2023
1082023
Pre-trained summarization distillation
S Shleifer, AM Rush
arXiv preprint arXiv:2010.13002, 2020
992020
Efficient large scale language modeling with mixtures of experts
M Artetxe, S Bhosale, N Goyal, T Mihaylov, M Ott, S Shleifer, XV Lin, J Du, ...
arXiv preprint arXiv:2112.10684, 2021
932021
Huggingface’s transformers: State-of-the-art natural language processing. arXiv
T Wolf, L Debut, V Sanh, J Chaumond, C Delangue, A Moi, P Cistac, ...
arXiv preprint arXiv:1910.03771, 2019
792019
Low resource text classification with ulmfit and backtranslation
S Shleifer
arXiv preprint arXiv:1903.09244, 2019
722019
Normformer: Improved transformer pretraining with extra normalization
S Shleifer, J Weston, M Ott
arXiv preprint arXiv:2110.09456, 2021
542021
Few-shot learning with multilingual generative language models
XV Lin, T Mihaylov, M Artetxe, T Wang, S Chen, D Simig, M Ott, N Goyal, ...
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
492022
Few-shot learning with multilingual language models
XV Lin, T Mihaylov, M Artetxe, T Wang, S Chen, D Simig, M Ott, N Goyal, ...
arXiv preprint arXiv:2112.10668, 2021
482021
Incrementally improving graph wavenet performance on traffic prediction
S Shleifer, C McCreery, V Chitters
arXiv preprint arXiv:1912.07390, 2019
232019
Using small proxy datasets to accelerate hyperparameter search
S Shleifer, E Prokop
arXiv preprint arXiv:1906.04887, 2019
232019
Efficient language modeling with sparse all-mlp
P Yu, M Artetxe, M Ott, S Shleifer, H Gong, V Stoyanov, X Li
arXiv preprint arXiv:2203.06850, 2022
122022
Shen Li
Y Zhao, A Gu, R Varma, L Luo, CC Huang, M Xu, L Wright, H Shojanazeri, ...
Pytorch fsdp: Experiences on scaling fully sharded data parallel, 2023
102023
Classification As Decoder: Trading Flexibility For Control In Neural Dialogue
S Shleifer, M Chablani, N Katariya, A Kannan, X Amatriain
arXiv preprint arXiv:1910.03476, 2019
2019
Classification as Decoder: Trading Flexibility for Control in Multi Domain Dialogue
S Shleifer, M Chablani, N Katariya, A Kannan, X Amatriain
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