Alexander M. Rush

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 195

Top Venues

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Junxiong Wang, Ali Mousavi, Omar Attia, Ronak Pradeep, Saloni Potdar, Alexander M. Rush, Umar Farooq Minhas, Yunyao Li
Entity Disambiguation via Fusion Entity Decoding. NAACL-HLT (2024)
Junxiong Wang, Tushaar Gangavarapu, Jing Nathan Yan, Alexander M. Rush
MambaByte: Token-free Selective State Space Model. CoRR (2024)
John X. Morris, Wenting Zhao, Justin T. Chiu, Vitaly Shmatikov, Alexander M. Rush
Language Model Inversion. ICLR (2024)
Wenting Zhao, Ge Gao, Claire Cardie, Alexander M. Rush
I Could've Asked That: Reformulating Unanswerable Questions. CoRR (2024)
Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M. Rush
Guess & Sketch: Language Model Guided Transpilation. ICLR (2024)
Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Charumathi Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky
Predicting Text Preference Via Structured Comparative Reasoning. ACL (1) (2024)
Yash Akhauri, Ahmed F. AbouElhamayed, Jordan Dotzel, Zhiru Zhang, Alexander M. Rush, Safeen Huda, Mohamed S. Abdelfattah
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models. CoRR (2024)
Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T. Chiu, Alexander M. Rush, Volodymyr Kuleshov
Simple and Effective Masked Diffusion Language Models. CoRR (2024)
Junxiong Wang, Ali Mousavi, Omar Attia, Saloni Potdar, Alexander M. Rush, Umar Farooq Minhas, Yunyao Li
Entity Disambiguation via Fusion Entity Decoding. CoRR (2024)
Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models. IEEE Trans. Vis. Comput. Graph. 29 (1) (2023)
Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs. IEEE J. Solid State Circuits 58 (2) (2023)
Hugo Laurençon, Lucile Saulnier, Léo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M. Rush, Douwe Kiela, Matthieu Cord, Victor Sanh
OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents. CoRR (2023)
Sanchit Gandhi, Patrick von Platen, Alexander M. Rush
Distil-Whisper: Robust Knowledge Distillation via Large-Scale Pseudo Labelling. CoRR (2023)
John X. Morris, Wenting Zhao, Justin T. Chiu, Vitaly Shmatikov, Alexander M. Rush
Language Model Inversion. CoRR (2023)
Chandan Singh, John X. Morris, Jyoti Aneja, Alexander M. Rush, Jianfeng Gao
Explaining Data Patterns in Natural Language with Language Models. BlackboxNLP@EMNLP (2023)
Jing Nathan Yan, Jiatao Gu, Alexander M. Rush
Diffusion Models Without Attention. CoRR (2023)
Lewis Tunstall, Edward Beeching, Nathan Lambert, Nazneen Rajani, Kashif Rasul, Younes Belkada, Shengyi Huang, Leandro von Werra, Clémentine Fourrier, Nathan Habib, Nathan Sarrazin, Omar Sanseviero, Alexander M. Rush, Thomas Wolf
Zephyr: Direct Distillation of LM Alignment. CoRR (2023)
Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander M. Rush
Guess & Sketch: Language Model Guided Transpilation. CoRR (2023)
Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush
Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations. ACL (1) (2023)
Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush
Hop, Union, Generate: Explainable Multi-hop Reasoning without Rationale Supervision. EMNLP (2023)
Alexander M. Rush
MiniChain: A Small Library for Coding with Large Language Models. EMNLP (Demos) (2023)
Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush
HOP, UNION, GENERATE: Explainable Multi-hop Reasoning without Rationale Supervision. CoRR (2023)
John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov, Alexander M. Rush
Text Embeddings Reveal (Almost) As Much As Text. CoRR (2023)
Thierry Tambe, Jeff Zhang, Coleman Hooper, Tianyu Jia, Paul N. Whatmough, Joseph Zuckerman, Maico Cassel dos Santos, Erik Jens Loscalzo, Davide Giri, Kenneth L. Shepard, Luca P. Carloni, Alexander M. Rush, David Brooks, Gu-Yeon Wei
A 12nm 18.1TFLOPs/W Sparse Transformer Processor with Entropy-Based Early Exit, Mixed-Precision Predication and Fine-Grained Power Management. ISSCC (2023)
John X. Morris, Chandan Singh, Alexander M. Rush, Jianfeng Gao, Yuntian Deng
Tree Prompting: Efficient Task Adaptation without Fine-Tuning. CoRR (2023)
Chandan Singh, John X. Morris, Alexander M. Rush, Jianfeng Gao, Yuntian Deng
Tree Prompting: Efficient Task Adaptation without Fine-Tuning. EMNLP (2023)
Niklas Muennighoff, Alexander M. Rush, Boaz Barak, Teven Le Scao, Aleksandra Piktus, Nouamane Tazi, Sampo Pyysalo, Thomas Wolf, Colin Raffel
Scaling Data-Constrained Language Models. CoRR (2023)
Samantha Petti, Nicholas Bhattacharya, Roshan Rao, Justas Dauparas, Neil Thomas, Juannan Zhou, Alexander M. Rush, Peter K. Koo, Sergey Ovchinnikov
End-to-end learning of multiple sequence alignments with differentiable Smith-Waterman. Bioinform. 39 (1) (2023)
Hugo Laurençon, Lucile Saulnier, Léo Tronchon, Stas Bekman, Amanpreet Singh, Anton Lozhkov, Thomas Wang, Siddharth Karamcheti, Alexander M. Rush, Douwe Kiela, Matthieu Cord, Victor Sanh
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents. NeurIPS (2023)
Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Yao Zhao, Charu Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky
On What Basis? Predicting Text Preference Via Structured Comparative Reasoning. CoRR (2023)
Justin T. Chiu, Wenting Zhao, Derek Chen, Saujas Vaduguru, Alexander M. Rush, Daniel Fried
Symbolic Planning and Code Generation for Grounded Dialogue. EMNLP (2023)
Junxiong Wang, Jing Nathan Yan, Albert Gu, Alexander M. Rush
Pretraining Without Attention. EMNLP (Findings) (2023)
John X. Morris, Volodymyr Kuleshov, Vitaly Shmatikov, Alexander M. Rush
Text Embeddings Reveal (Almost) As Much As Text. EMNLP (2023)
Justin T. Chiu, Wenting Zhao, Derek Chen, Saujas Vaduguru, Alexander M. Rush, Daniel Fried
Symbolic Planning and Code Generation for Grounded Dialogue. CoRR (2023)
Zhiying Xu, Francis Y. Yan, Rachee Singh, Justin T. Chiu, Alexander M. Rush, Minlan Yu
Teal: Learning-Accelerated Optimization of WAN Traffic Engineering. SIGCOMM (2023)
Niklas Muennighoff, Alexander M. Rush, Boaz Barak, Teven Le Scao, Nouamane Tazi, Aleksandra Piktus, Sampo Pyysalo, Thomas Wolf, Colin A. Raffel
Scaling Data-Constrained Language Models. NeurIPS (2023)
David Chiang, Alexander M. Rush, Boaz Barak
Named Tensor Notation. Trans. Mach. Learn. Res. 2023 (2023)
Wenting Zhao, Justin T. Chiu, Claire Cardie, Alexander M. Rush
Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations. CoRR (2023)
Yuntian Deng, Noriyuki Kojima, Alexander M. Rush
Markup-to-Image Diffusion Models with Scheduled Sampling. ICLR (2023)
Yuntian Deng, Volodymyr Kuleshov, Alexander M. Rush
Model Criticism for Long-Form Text Generation. CoRR (2022)
Zhiying Xu, Sivaramakrishnan Ramanathan, Alexander M. Rush, Jelena Mirkovic, Minlan Yu
Xatu: boosting existing DDoS detection systems using auxiliary signals. CoNEXT (2022)
Victor Sanh, Albert Webson, Colin Raffel, Stephen Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, Alexander M. Rush
Multitask Prompted Training Enables Zero-Shot Task Generalization. ICLR (2022)
Zhiying Xu, Francis Y. Yan, Rachee Singh, Justin T. Chiu, Alexander M. Rush, Minlan Yu
Teal: Learning-Accelerated Optimization of Traffic Engineering. CoRR (2022)
Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Mike Tian-Jian Jiang, Alexander M. Rush
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. CoRR (2022)
Yuntian Deng, Noriyuki Kojima, Alexander M. Rush
Markup-to-Image Diffusion Models with Scheduled Sampling. CoRR (2022)
Junxiong Wang, Jing Nathan Yan, Albert Gu, Alexander M. Rush
Pretraining Without Attention. CoRR (2022)
John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush
Unsupervised Text Deidentification. EMNLP (Findings) (2022)
Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilic, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, Jonathan Tow, Alexander M. Rush, Stella Biderman, Albert Webson, Pawan Sasanka Ammanamanchi, Thomas Wang, Benoît Sagot, Niklas Muennighoff, Albert Villanova del Moral, Olatunji Ruwase, Rachel Bawden, Stas Bekman, Angelina McMillan-Major, Iz Beltagy, Huu Nguyen, Lucile Saulnier, Samson Tan, Pedro Ortiz Suarez, Victor Sanh, Hugo Laurençon, Yacine Jernite, Julien Launay, Margaret Mitchell, Colin Raffel, Aaron Gokaslan, Adi Simhi, Aitor Soroa, Alham Fikri Aji, Amit Alfassy, Anna Rogers, Ariel Kreisberg Nitzav, Canwen Xu, Chenghao Mou, Chris Emezue, Christopher Klamm, Colin Leong, Daniel van Strien, David Ifeoluwa Adelani, et al.
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. CoRR (2022)
Yuntian Deng, Volodymyr Kuleshov, Alexander M. Rush
Model Criticism for Long-Form Text Generation. EMNLP (2022)
John X. Morris, Justin T. Chiu, Ramin Zabih, Alexander M. Rush
Unsupervised Text Deidentification. CoRR (2022)
Sanchit Gandhi, Patrick von Platen, Alexander M. Rush
ESB: A Benchmark For Multi-Domain End-to-End Speech Recognition. CoRR (2022)
Stephen H. Bach, Victor Sanh, Zheng Xin Yong, Albert Webson, Colin Raffel, Nihal V. Nayak, Abheesht Sharma, Taewoon Kim, M. Saiful Bari, Thibault Févry, Zaid Alyafeai, Manan Dey, Andrea Santilli, Zhiqing Sun, Srulik Ben-David, Canwen Xu, Gunjan Chhablani, Han Wang, Jason Alan Fries, Maged Saeed AlShaibani, Shanya Sharma, Urmish Thakker, Khalid Almubarak, Xiangru Tang, Dragomir R. Radev, Mike Tian-Jian Jiang, Alexander M. Rush
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts. ACL (demo) (2022)
Hendrik Strobelt, Jambay Kinley, Robert Krüger, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush
GenNI: Human-AI Collaboration for Data-Backed Text Generation. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
Justin T. Chiu, Yuntian Deng, Alexander M. Rush
Low-Rank Constraints for Fast Inference in Structured Models. CoRR (2022)
Leandro von Werra, Lewis Tunstall, Abhishek Thakur, Alexandra Sasha Luccioni, Tristan Thrush, Aleksandra Piktus, Felix Marty, Nazneen Rajani, Victor Mustar, Helen Ngo, Omar Sanseviero, Mario Sasko, Albert Villanova del Moral, Quentin Lhoest, Julien Chaumond, Margaret Mitchell, Alexander M. Rush, Thomas Wolf, Douwe Kiela
Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements. CoRR (2022)
Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush
Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models. CoRR (2022)
Chandan Singh, John X. Morris, Jyoti Aneja, Alexander M. Rush, Jianfeng Gao
Explaining Patterns in Data with Language Models via Interpretable Autoprompting. CoRR (2022)
Xinya Du, Alexander M. Rush, Claire Cardie
GRIT: Generative Role-filler Transformers for Document-level Event Entity Extraction. EACL (2021)
Teven Le Scao, Alexander M. Rush
How Many Data Points is a Prompt Worth? CoRR (2021)
Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M. Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Stella Biderman, Leo Gao, Tali Bers, Thomas Wolf, Alexander M. Rush
Multitask Prompted Training Enables Zero-Shot Task Generalization. CoRR (2021)
Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei, Robbert Struyven, Yoon Kim, Brian D. Leahy, Helen Y. Yang, Alexander M. Rush, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field. MICCAI (8) (2021)
Thierry Tambe, Coleman Hooper, Lillian Pentecost, Tianyu Jia, En-Yu Yang, Marco Donato, Victor Sanh, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference. MICRO (2021)
Hendrik Strobelt, Jambay Kinley, Robert Krüger, Johanna Beyer, Hanspeter Pfister, Alexander M. Rush
GenNI: Human-AI Collaboration for Data-Backed Text Generation. CoRR (2021)
Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
SoC for IoT Devices with 18ms Noise-Robust Speech-to-Text Latency via Bayesian Speech Denoising and Attention-Based Sequence-to-Sequence DNN Speech Recognition in 16nm FinFET. ISSCC (2021)
Victor Sanh, Alexander M. Rush
Low-Complexity Probing via Finding Subnetworks. NAACL-HLT (2021)
Stanislav Lukyanenko, Won-Dong Jang, Donglai Wei, Robbert Struyven, Yoon Kim, Brian D. Leahy, Helen Y. Yang, Alexander M. Rush, Dalit Ben-Yosef, Daniel Needleman, Hanspeter Pfister
Developmental Stage Classification of Embryos Using Two-Stream Neural Network with Linear-Chain Conditional Random Field. CoRR (2021)
Justin T. Chiu, Yuntian Deng, Alexander M. Rush
Low-Rank Constraints for Fast Inference in Structured Models. NeurIPS (2021)
Steven Cao, Victor Sanh, Alexander M. Rush
Low-Complexity Probing via Finding Subnetworks. CoRR (2021)
David Chiang, Alexander M. Rush, Boaz Barak
Named Tensor Notation. CoRR (2021)
François Lagunas, Ella Charlaix, Victor Sanh, Alexander M. Rush
Block Pruning For Faster Transformers. CoRR (2021)
Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush
Rationales for Sequential Predictions. CoRR (2021)
Xinya Du, Alexander M. Rush, Claire Cardie
Template Filling with Generative Transformers. NAACL-HLT (2021)
Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Sasko, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clement Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander M. Rush, Thomas Wolf
Datasets: A Community Library for Natural Language Processing. CoRR (2021)
Teven Le Scao, Alexander M. Rush
How many data points is a prompt worth? NAACL-HLT (2021)
Thierry Tambe, En-Yu Yang, Glenn G. Ko, Yuji Chai, Coleman Hooper, Marco Donato, Paul N. Whatmough, Alexander M. Rush, David Brooks, Gu-Yeon Wei
Hot Chips Symposium - August 22-24, 2021. HCS (2021)
Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M. Rush
Learning from others' mistakes: Avoiding dataset biases without modeling them. ICLR (2021)
Keyon Vafa, Yuntian Deng, David M. Blei, Alexander M. Rush
Rationales for Sequential Predictions. EMNLP (1) (2021)
Quentin Lhoest, Albert Villanova del Moral, Yacine Jernite, Abhishek Thakur, Patrick von Platen, Suraj Patil, Julien Chaumond, Mariama Drame, Julien Plu, Lewis Tunstall, Joe Davison, Mario Sasko, Gunjan Chhablani, Bhavitvya Malik, Simon Brandeis, Teven Le Scao, Victor Sanh, Canwen Xu, Nicolas Patry, Angelina McMillan-Major, Philipp Schmid, Sylvain Gugger, Clément Delangue, Théo Matussière, Lysandre Debut, Stas Bekman, Pierric Cistac, Thibault Goehringer, Victor Mustar, François Lagunas, Alexander M. Rush, Thomas Wolf
Datasets: A Community Library for Natural Language Processing. EMNLP (Demos) (2021)
Demi Guo, Alexander M. Rush, Yoon Kim
Parameter-Efficient Transfer Learning with Diff Pruning. ACL/IJCNLP (1) (2021)
Yuntian Deng, Alexander M. Rush
Sequence-to-Lattice Models for Fast Translation. EMNLP (Findings) (2021)
François Lagunas, Ella Charlaix, Victor Sanh, Alexander M. Rush
Block Pruning For Faster Transformers. EMNLP (1) (2021)
Victor Sanh, Thomas Wolf, Alexander M. Rush
Movement Pruning: Adaptive Sparsity by Fine-Tuning. CoRR (2020)
Yuntian Deng, Alexander M. Rush
Cascaded Text Generation with Markov Transformers. NeurIPS (2020)
Alexander M. Rush
Torch-Struct: Deep Structured Prediction Library. CoRR (2020)
Justin T. Chiu, Alexander M. Rush
Scaling Hidden Markov Language Models. EMNLP (1) (2020)
Congzheng Song, Alexander M. Rush, Vitaly Shmatikov
Adversarial Semantic Collisions. EMNLP (1) (2020)
Justin T. Chiu, Alexander M. Rush
Scaling Hidden Markov Language Models. CoRR (2020)
Jiawei Zhou, Zhiying Xu, Alexander M. Rush, Minlan Yu
Automating Botnet Detection with Graph Neural Networks. CoRR (2020)
Sam Shleifer, Alexander M. Rush
Pre-trained Summarization Distillation. CoRR (2020)
Xiang Lisa Li, Alexander M. Rush
Posterior Control of Blackbox Generation. CoRR (2020)
Zonglin Yang, Xinya Du, Alexander M. Rush, Claire Cardie
Improving Event Duration Prediction via Time-aware Pre-training. CoRR (2020)
Victor Sanh, Thomas Wolf, Alexander M. Rush
Movement Pruning: Adaptive Sparsity by Fine-Tuning. NeurIPS (2020)
Thierry Tambe, Coleman Hooper, Lillian Pentecost, En-Yu Yang, Marco Donato, Victor Sanh, Alexander M. Rush, David Brooks, Gu-Yeon Wei
EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP. CoRR (2020)
Yao Fu, Chuanqi Tan, Bin Bi, Mosha Chen, Yansong Feng, Alexander M. Rush
Latent Template Induction with Gumbel-CRFs. CoRR (2020)
Sebastian Gehrmann, Hendrik Strobelt, Robert Krüger, Hanspeter Pfister, Alexander M. Rush
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Yao Fu, Chuanqi Tan, Bin Bi, Mosha Chen, Yansong Feng, Alexander M. Rush
Latent Template Induction with Gumbel-CRFs. NeurIPS (2020)
Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M. Rush
Learning from others' mistakes: Avoiding dataset biases without modeling them. CoRR (2020)
Demi Guo, Yoon Kim, Alexander M. Rush
Sequence-Level Mixed Sample Data Augmentation. CoRR (2020)
Alexander M. Rush
Torch-Struct: Deep Structured Prediction Library. ACL (demo) (2020)
Noriyuki Kojima, Hadar Averbuch-Elor, Alexander M. Rush, Yoav Artzi
What is Learned in Visually Grounded Neural Syntax Acquisition. CoRR (2020)

Alexander M. Rush.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Alexander M. Rush