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Sam Shleifer
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2020 – today
- 2023
- [j2]Yanli Zhao, Andrew Gu, Rohan Varma, Liang Luo, Chien-Chin Huang, Min Xu, Less Wright, Hamid Shojanazeri, Myle Ott, Sam Shleifer, Alban Desmaison, Can Balioglu, Pritam Damania, Bernard Nguyen, Geeta Chauhan, Yuchen Hao, Ajit Mathews, Shen Li:
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel. Proc. VLDB Endow. 16(12): 3848-3860 (2023) - [i13]Yanli Zhao, Andrew Gu, Rohan Varma, Liang Luo, Chien-Chin Huang, Min Xu, Less Wright, Hamid Shojanazeri, Myle Ott, Sam Shleifer, Alban Desmaison, Can Balioglu, Bernard Nguyen, Geeta Chauhan, Yuchen Hao, Shen Li:
PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel. CoRR abs/2304.11277 (2023) - 2022
- [c4]Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li:
Few-shot Learning with Multilingual Generative Language Models. EMNLP 2022: 9019-9052 - [c3]Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giridharan Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeffrey Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Veselin Stoyanov:
Efficient Large Scale Language Modeling with Mixtures of Experts. EMNLP 2022: 11699-11732 - [c2]Tim Dettmers, Mike Lewis, Sam Shleifer, Luke Zettlemoyer:
8-bit Optimizers via Block-wise Quantization. ICLR 2022 - [i12]Ping Yu, Mikel Artetxe, Myle Ott, Sam Shleifer, Hongyu Gong, Ves Stoyanov, Xian Li:
Efficient Language Modeling with Sparse all-MLP. CoRR abs/2203.06850 (2022) - [i11]Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona T. Diab, Xian Li, Xi Victoria Lin, Todor Mihaylov, Myle Ott, Sam Shleifer, Kurt Shuster, Daniel Simig, Punit Singh Koura, Anjali Sridhar, Tianlu Wang, Luke Zettlemoyer:
OPT: Open Pre-trained Transformer Language Models. CoRR abs/2205.01068 (2022) - 2021
- [j1]David Eng, Christopher Chute, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Sam Shleifer, Mohamed H. Khalaf, Alexander T. Sandhu, Fátima Rodriguez, David J. Maron, Saeed Seyyedi, Daniele Marin, Ilana Golub, Matthew J. Budoff, Felipe Kitamura, Marcelo Straus Takahashi, Ross W. Filice, Rajesh Shah, John Mongan, Kimberly Kallianos, Curtis P. Langlotz, Matthew P. Lungren, Andrew Y. Ng, Bhavik N. Patel:
Automated coronary calcium scoring using deep learning with multicenter external validation. npj Digit. Medicine 4 (2021) - [i10]Tim Dettmers, Mike Lewis, Sam Shleifer, Luke Zettlemoyer:
8-bit Optimizers via Block-wise Quantization. CoRR abs/2110.02861 (2021) - [i9]Sam Shleifer, Jason Weston, Myle Ott:
NormFormer: Improved Transformer Pretraining with Extra Normalization. CoRR abs/2110.09456 (2021) - [i8]Xi Victoria Lin, Todor Mihaylov, Mikel Artetxe, Tianlu Wang, Shuohui Chen, Daniel Simig, Myle Ott, Naman Goyal, Shruti Bhosale, Jingfei Du, Ramakanth Pasunuru, Sam Shleifer, Punit Singh Koura, Vishrav Chaudhary, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Zornitsa Kozareva, Mona T. Diab, Veselin Stoyanov, Xian Li:
Few-shot Learning with Multilingual Language Models. CoRR abs/2112.10668 (2021) - [i7]Mikel Artetxe, Shruti Bhosale, Naman Goyal, Todor Mihaylov, Myle Ott, Sam Shleifer, Xi Victoria Lin, Jingfei Du, Srinivasan Iyer, Ramakanth Pasunuru, Giri Anantharaman, Xian Li, Shuohui Chen, Halil Akin, Mandeep Baines, Louis Martin, Xing Zhou, Punit Singh Koura, Brian O'Horo, Jeff Wang, Luke Zettlemoyer, Mona T. Diab, Zornitsa Kozareva, Ves Stoyanov:
Efficient Large Scale Language Modeling with Mixtures of Experts. CoRR abs/2112.10684 (2021) - 2020
- [c1]Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, Alexander M. Rush:
Transformers: State-of-the-Art Natural Language Processing. EMNLP (Demos) 2020: 38-45 - [i6]Sam Shleifer, Alexander M. Rush:
Pre-trained Summarization Distillation. CoRR abs/2010.13002 (2020)
2010 – 2019
- 2019
- [i5]Sam Shleifer:
Low Resource Text Classification with ULMFit and Backtranslation. CoRR abs/1903.09244 (2019) - [i4]Sam Shleifer, Eric Prokop:
Using Small Proxy Datasets to Accelerate Hyperparameter Search. CoRR abs/1906.04887 (2019) - [i3]Sam Shleifer, Manish Chablani, Namit Katariya, Anitha Kannan, Xavier Amatriain:
Classification As Decoder: Trading Flexibility For Control In Neural Dialogue. CoRR abs/1910.03476 (2019) - [i2]Sam Shleifer, Manish Chablani, Anitha Kannan, Namit Katariya, Xavier Amatriain:
Classification as Decoder: Trading Flexibility for Control in Medical Dialogue. CoRR abs/1911.08554 (2019) - [i1]Sam Shleifer, Clara McCreery, Vamsi Chitters:
Incrementally Improving Graph WaveNet Performance on Traffic Prediction. CoRR abs/1912.07390 (2019)
Coauthor Index
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last updated on 2023-10-24 22:31 CEST by the dblp team
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