Follow
Guillaume Lample
Guillaume Lample
Research Scientist, Facebook AI Research
Verified email at fb.com
Title
Cited by
Cited by
Year
Neural architectures for named entity recognition
G Lample, M Ballesteros, S Subramanian, K Kawakami, C Dyer
NAACL 2016, 2016
38462016
Cross-lingual language model pretraining
G Lample, A Conneau
NIPS 2019, 2019
1795*2019
Word translation without parallel data
G Lample, A Conneau, MA Ranzato, L Denoyer, H Jégou
ICLR 2018, 2018
1340*2018
Unsupervised Machine Translation Using Monolingual Corpora Only
G Lample, A Conneau, L Denoyer, MA Ranzato
ICLR 2018, 2018
9602018
XNLI: Evaluating cross-lingual sentence representations
A Conneau, G Lample, R Rinott, A Williams, SR Bowman, H Schwenk, ...
EMNLP 2018, 2018
6782018
What you can cram into a single vector: Probing sentence embeddings for linguistic properties
A Conneau, G Kruszewski, G Lample, L Barrault, M Baroni
ACL 2018, 2018
6132018
Phrase-Based & Neural Unsupervised Machine Translation
G Lample, M Ott, A Conneau, L Denoyer, MA Ranzato
EMNLP 2018, 2018
5902018
Playing FPS Games with Deep Reinforcement Learning.
G Lample, DS Chaplot
AAAI 2017, 2017
5202017
Fader Networks: Manipulating Images by Sliding Attributes
G Lample, N Zeghidour, N Usunier, A Bordes, L Denoyer, MA Ranzato
NIPS 2017, 2017
4712017
Massively multilingual word embeddings
W Ammar, G Mulcaire, Y Tsvetkov, G Lample, C Dyer, NA Smith
arXiv preprint arXiv:1602.01925, 2016
2902016
Multiple-Attribute Text Rewriting
G Lample, S Subramanian, E Smith, L Denoyer, YL Boureau
ICLR 2019, 2018
232*2018
Deep learning for symbolic mathematics
G Lample, F Charton
ICLR 2020, 2019
2212019
The flores evaluation datasets for low-resource machine translation: Nepali-english and sinhala-english
F Guzmán, PJ Chen, M Ott, J Pino, G Lample, P Koehn, V Chaudhary, ...
arXiv preprint arXiv:1902.01382, 2019
1772019
Evaluation of word vector representations by subspace alignment
Y Tsvetkov, M Faruqui, W Ling, G Lample, C Dyer
EMNLP 2015, 2015
1652015
Unsupervised translation of programming languages
MA Lachaux, B Roziere, L Chanussot, G Lample
arXiv preprint arXiv:2006.03511, 2020
116*2020
Large Memory Layers with Product Keys
G Lample, A Sablayrolles, MA Ranzato, L Denoyer, H Jégou
NIPS 2019, 2019
852019
Polyglot neural language models: A case study in cross-lingual phonetic representation learning
Y Tsvetkov, S Sitaram, M Faruqui, G Lample, P Littell, D Mortensen, ...
NAACL 2016, 2016
592016
Augmenting self-attention with persistent memory
S Sukhbaatar, E Grave, G Lample, H Jegou, A Joulin
arXiv preprint arXiv:1907.01470, 2019
572019
Transfer deep reinforcement learning in 3d environments: An empirical study
DS Chaplot, G Lample, KM Sathyendra, R Salakhutdinov
NIPS Deep Reinforcemente Leaning Workshop, 2016
39*2016
Dobf: A deobfuscation pre-training objective for programming languages
B Roziere, MA Lachaux, M Szafraniec, G Lample
arXiv preprint arXiv:2102.07492, 2021
29*2021
The system can't perform the operation now. Try again later.
Articles 1–20