← Authors

Guillaume Lample

25 papers · 2015–2023 · 7 conferences · across top CS/AI conferences

Achievements

🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (35) 🐝 Cross-Pollinator (15) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) 🏃 Academic Marathon (8) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (7) 🌟 Keyword Trendsetter Combo (5) 👑 Triple Crown 🧬 Topic Evolution 🏆 Keyword Champion (3) ⚡ Prolific Year (5) 🔥 Unstoppable (9) 🗃️ Keyword Collector (68) 💎 Century Club (25) 🚀 Conference Pioneer 📈 Trend Setter

Conferences

ICLR (7) NIPS (7) EMNLP (5) ICML (2) NAACL (2) ACL (1) IJCNLP (1)

Top co-authors

Ludovic DENOYER (6) Alexis CONNEAU (6) Marc'aurelio Ranzato (5) Francois Charton (5) Marie-Anne Lachaux (4) Chris Dyer (3) Myle Ott (3) Pierre-Alexandre Kamienny (3) Marc’Aurelio Ranzato (3) Baptiste Roziere (3)

Keywords

machine translation (4) symbolic regression (3) low-resource language (3) neural machine translation (2) representation learning (2) function approximation (2) neural network (2) genetic programming (2) language model (2) parallel datum (2) sentence representation (2) unsupervised machine translation (2) source code (1) automated reasoning (1) code generation (1) transfer learning (1) multilingual nlp (1) disentangled representation (1) natural language inference (1) image generation (1)

Papers

Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs ICLR 2023
Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search ICML 2023
Deep symbolic regression for recurrence prediction ICML 2022
End-to-end Symbolic Regression with Transformers NIPS 2022
HyperTree Proof Search for Neural Theorem Proving NIPS 2022
Leveraging Automated Unit Tests for Unsupervised Code Translation ICLR 2022
DOBF: A Deobfuscation Pre-Training Objective for Programming Languages NIPS 2021
Learning advanced mathematical computations from examples ICLR 2021
Target Conditioning for One-to-Many Generation EMNLP 2020
Deep Learning For Symbolic Mathematics ICLR 2020
Unsupervised Translation of Programming Languages NIPS 2020
Cross-lingual Language Model Pretraining NIPS 2019
The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English IJCNLP 2019
The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English EMNLP 2019
Multiple-Attribute Text Rewriting ICLR 2019
Large Memory Layers with Product Keys NIPS 2019
Word translation without parallel data ICLR 2018
Phrase-Based & Neural Unsupervised Machine Translation EMNLP 2018
XNLI: Evaluating Cross-lingual Sentence Representations EMNLP 2018
Unsupervised Machine Translation Using Monolingual Corpora Only ICLR 2018
What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties ACL 2018
Fader Networks:Manipulating Images by Sliding Attributes NIPS 2017
Neural Architectures for Named Entity Recognition NAACL 2016
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning NAACL 2016
Evaluation of Word Vector Representations by Subspace Alignment EMNLP 2015