Automated coronary calcium scoring using deep learning with multicenter external validation von Eng, David, Chute, Christopher, Khandwala, Nishith, Rajpurkar, Pranav, Long, Jin, Shleifer, Sam, Khalaf, Mohamed H., Sandhu, Alexander T., Rodriguez, Fatima, Maron, David J., Seyyedi, Saeed, Marin, Daniele, Golub, Ilana, Budoff, Matthew, Kitamura, Felipe, Takahashi, Marcelo Straus, Filice, Ross W., Shah, Rajesh, Mongan, John, Kallianos, Kimberly, Langlotz, Curtis P., Lungren, Matthew P., Ng, Andrew Y., Patel, Bhavik N.

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PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel von Zhao, Yanli, Gu, Andrew, Varma, Rohan, Luo, Liang, Huang, Chien-Chin, Xu, Min, Wright, Less, Shojanazeri, Hamid, Ott, Myle, Shleifer, Sam, Desmaison, Alban, Balioglu, Can, Damania, Pritam, Nguyen, Bernard, Chauhan, Geeta, Hao, Yuchen, Mathews, Ajit, Li, Shen

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Low Resource Text Classification with ULMFit and Backtranslation von Shleifer, Sam

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Using Small Proxy Datasets to Accelerate Hyperparameter Search von Shleifer, Sam, Prokop, Eric

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Pre-trained Summarization Distillation von Shleifer, Sam, Rush, Alexander M

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NormFormer: Improved Transformer Pretraining with Extra Normalization von Shleifer, Sam, Weston, Jason, Ott, Myle

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8-bit Optimizers via Block-wise Quantization von Dettmers, Tim, Lewis, Mike, Shleifer, Sam, Zettlemoyer, Luke

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Incrementally Improving Graph WaveNet Performance on Traffic Prediction von Shleifer, Sam, McCreery, Clara, Chitters, Vamsi

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Efficient Language Modeling with Sparse all-MLP von Yu, Ping, Artetxe, Mikel, Ott, Myle, Shleifer, Sam, Gong, Hongyu, Stoyanov, Ves, Li, Xian

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Using Small Proxy Datasets to Accelerate Hyperparameter Search von Shleifer, Sam, Prokop, Eric

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Pre-trained Summarization Distillation von Shleifer, Sam, Rush, Alexander M

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Classification as Decoder: Trading Flexibility for Control in Medical Dialogue von Shleifer, Sam, Chablani, Manish, Kannan, Anitha, Katariya, Namit, Amatriain, Xavier

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Classification As Decoder: Trading Flexibility For Control In Neural Dialogue von Shleifer, Sam, Chablani, Manish, Katariya, Namit, Kannan, Anitha, Amatriain, Xavier

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NormFormer: Improved Transformer Pretraining with Extra Normalization von Shleifer, Sam, Weston, Jason, Ott, Myle

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PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel von Zhao, Yanli, Gu, Andrew, Varma, Rohan, Luo, Liang, Huang, Chien-Chin, Xu, Min, Wright, Less, Shojanazeri, Hamid, Ott, Myle, Shleifer, Sam, Desmaison, Alban, Balioglu, Can, Damania, Pritam, Nguyen, Bernard, Chauhan, Geeta, Hao, Yuchen, Mathews, Ajit, Li, Shen

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8-bit Optimizers via Block-wise Quantization von Dettmers, Tim, Lewis, Mike, Shleifer, Sam, Zettlemoyer, Luke

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OPT: Open Pre-trained Transformer Language Models von Zhang, Susan, Roller, Stephen, Goyal, Naman, Artetxe, Mikel, Chen, Moya, Chen, Shuohui, Dewan, Christopher, Diab, Mona, Li, Xian, Lin, Xi Victoria, Mihaylov, Todor, Ott, Myle, Shleifer, Sam, Shuster, Kurt, Simig, Daniel, Koura, Punit Singh, Sridhar, Anjali, Wang, Tianlu, Zettlemoyer, Luke

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Incrementally Improving Graph WaveNet Performance on Traffic Prediction von Shleifer, Sam, McCreery, Clara, Chitters, Vamsi

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Efficient Language Modeling with Sparse all-MLP von Yu, Ping, Artetxe, Mikel, Ott, Myle, Shleifer, Sam, Gong, Hongyu, Stoyanov, Ves, Li, Xian

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Efficient Large Scale Language Modeling with Mixtures of Experts von Artetxe, Mikel, Bhosale, Shruti, Goyal, Naman, Mihaylov, Todor, Ott, Myle, Shleifer, Sam, Lin, Xi Victoria, Du, Jingfei, Iyer, Srinivasan, Pasunuru, Ramakanth, Anantharaman, Giri, Li, Xian, Chen, Shuohui, Akin, Halil, Baines, Mandeep, Martin, Louis, Zhou, Xing, Koura, Punit Singh, O'Horo, Brian, Wang, Jeff, Zettlemoyer, Luke, Diab, Mona, Kozareva, Zornitsa, Stoyanov, Ves

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