Prati
Łukasz Kaiser
Łukasz Kaiser
OpenAI & CNRS
Potvrđena adresa e-pošte na openai.com - Početna stranica
Naslov
Citirano
Citirano
Godina
Attention is all you need
A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, AN Gomez, ...
Advances in neural information processing systems 30, 2017
649092017
Tensorflow: Large-scale machine learning on heterogeneous distributed systems
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
arXiv preprint arXiv:1603.04467, 2016
242612016
Google's neural machine translation system: Bridging the gap between human and machine translation
Y Wu, M Schuster, Z Chen, QV Le, M Norouzi, W Macherey, M Krikun, ...
arXiv preprint arXiv:1609.08144, 2016
67192016
Image transformer
N Parmar, A Vaswani, J Uszkoreit, L Kaiser, N Shazeer, A Ku, D Tran
International conference on machine learning, 4055-4064, 2018
12132018
Reformer: The efficient transformer
N Kitaev, Ł Kaiser, A Levskaya
arXiv preprint arXiv:2001.04451, 2020
11862020
Grammar as a foreign language
O Vinyals, Ł Kaiser, T Koo, S Petrov, I Sutskever, G Hinton
Advances in neural information processing systems 28, 2015
10222015
Regularizing neural networks by penalizing confident output distributions
G Pereyra, G Tucker, J Chorowski, Ł Kaiser, G Hinton
arXiv preprint arXiv:1701.06548, 2017
9172017
Multi-task sequence to sequence learning
MT Luong, QV Le, I Sutskever, O Vinyals, L Kaiser
arXiv preprint arXiv:1511.06114, 2015
8262015
Rethinking attention with performers
K Choromanski, V Likhosherstov, D Dohan, X Song, A Gane, T Sarlos, ...
arXiv preprint arXiv:2009.14794, 2020
6722020
Generating wikipedia by summarizing long sequences
PJ Liu, M Saleh, E Pot, B Goodrich, R Sepassi, L Kaiser, N Shazeer
arXiv preprint arXiv:1801.10198, 2018
6562018
Model-based reinforcement learning for atari
L Kaiser, M Babaeizadeh, P Milos, B Osinski, RH Campbell, ...
arXiv preprint arXiv:1903.00374, 2019
6212019
Universal transformers
M Dehghani, S Gouws, O Vinyals, J Uszkoreit, Ł Kaiser
arXiv preprint arXiv:1807.03819, 2018
6202018
TensorFlow: Large-scale machine learning on heterogeneous systems, software available from tensorflow. org (2015)
M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ...
URL https://www. tensorflow. org, 2015
6042015
Tensor2tensor for neural machine translation
A Vaswani, S Bengio, E Brevdo, F Chollet, AN Gomez, S Gouws, L Jones, ...
arXiv preprint arXiv:1803.07416, 2018
5202018
Adding gradient noise improves learning for very deep networks
A Neelakantan, L Vilnis, QV Le, I Sutskever, L Kaiser, K Kurach, J Martens
arXiv preprint arXiv:1511.06807, 2015
4722015
Attention is all you need. arXiv 2017
A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, AN Gomez, ...
arXiv preprint arXiv:1706.03762, 2017
4682017
Evaluating large language models trained on code
M Chen, J Tworek, H Jun, Q Yuan, HPO Pinto, J Kaplan, H Edwards, ...
arXiv preprint arXiv:2107.03374, 2021
3732021
Neural gpus learn algorithms
Ł Kaiser, I Sutskever
arXiv preprint arXiv:1511.08228, 2015
3472015
Learning to remember rare events
Ł Kaiser, O Nachum, A Roy, S Bengio
arXiv preprint arXiv:1703.03129, 2017
3342017
One model to learn them all
L Kaiser, AN Gomez, N Shazeer, A Vaswani, N Parmar, L Jones, ...
arXiv preprint arXiv:1706.05137, 2017
3312017
Sustav trenutno ne može provesti ovu radnju. Pokušajte ponovo kasnije.
Članci 1–20