Следене
Alexander M. Rush
Alexander M. Rush
Associate Professor, Cornell University
Потвърден имейл адрес: cornell.edu - Начална страница
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Позовавания
Позовавания
Година
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
5758*2020
A neural attention model for abstractive sentence summarization
AM Rush, S Chopra, J Weston
arXiv preprint arXiv:1509.00685, 2015
32432015
Opennmt: Open-source toolkit for neural machine translation
G Klein, Y Kim, Y Deng, J Senellart, AM Rush
arXiv preprint arXiv:1701.02810, 2017
21252017
Character-aware neural language models
Y Kim, Y Jernite, D Sontag, A Rush
Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016
20562016
Towards ai-complete question answering: A set of prerequisite toy tasks
J Weston, A Bordes, S Chopra, AM Rush, B Van Merriënboer, A Joulin, ...
arXiv preprint arXiv:1502.05698, 2015
11922015
Abstractive sentence summarization with attentive recurrent neural networks
S Chopra, M Auli, AM Rush
Proceedings of the 2016 conference of the North American chapter of the …, 2016
10922016
Sequence-level knowledge distillation
Y Kim, AM Rush
arXiv preprint arXiv:1606.07947, 2016
9542016
Multitask prompted training enables zero-shot task generalization
V Sanh, A Webson, C Raffel, SH Bach, L Sutawika, Z Alyafeai, A Chaffin, ...
arXiv preprint arXiv:2110.08207, 2021
8542021
Bottom-up abstractive summarization
S Gehrmann, Y Deng, AM Rush
arXiv preprint arXiv:1808.10792, 2018
7482018
Bloom: A 176b-parameter open-access multilingual language model
BS Workshop, TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, ...
arXiv preprint arXiv:2211.05100, 2022
7392022
Sequence-to-sequence learning as beam-search optimization
S Wiseman, AM Rush
arXiv preprint arXiv:1606.02960, 2016
6182016
Challenges in data-to-document generation
S Wiseman, SM Shieber, AM Rush
arXiv preprint arXiv:1707.08052, 2017
5812017
Structured attention networks
Y Kim, C Denton, L Hoang, AM Rush
arXiv preprint arXiv:1702.00887, 2017
5302017
Lstmvis: A tool for visual analysis of hidden state dynamics in recurrent neural networks
H Strobelt, S Gehrmann, H Pfister, AM Rush
IEEE transactions on visualization and computer graphics 24 (1), 667-676, 2017
4692017
Adversarially regularized autoencoders
J Zhao, Y Kim, K Zhang, A Rush, Y LeCun
International conference on machine learning, 5902-5911, 2018
3162018
Movement pruning: Adaptive sparsity by fine-tuning
V Sanh, T Wolf, A Rush
Advances in Neural Information Processing Systems 33, 20378-20389, 2020
2952020
Gltr: Statistical detection and visualization of generated text
S Gehrmann, H Strobelt, AM Rush
arXiv preprint arXiv:1906.04043, 2019
2872019
Image-to-markup generation with coarse-to-fine attention
Y Deng, A Kanervisto, J Ling, AM Rush
International Conference on Machine Learning, 980-989, 2017
285*2017
Semi-amortized variational autoencoders
Y Kim, S Wiseman, A Miller, D Sontag, A Rush
International Conference on Machine Learning, 2678-2687, 2018
2662018
Commonsense knowledge mining from pretrained models
J Davison, J Feldman, AM Rush
Proceedings of the 2019 conference on empirical methods in natural language …, 2019
2642019
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