Thibaud Lutellier
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 4 papers; trusts 37 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 79 citations into it
- Information Systems — 70 citations into it; #2,660 of 8,771 by trust here, #3,640 by citations
- Software — 60 citations into it; #356 of 1,227 by trust here, #366 by citations
- Safety, Robustness & Interpretability — 37 citations into it
- Natural Language Processing — 36 citations into it; #2,765 of 5,688 by trust here, #4,682 by citations
- Signal Processing — 22 citations into it
- Program Analysis & Verification — 14 citations into it; #261 of 301 by trust here, #185 by citations
- Computer Networks and Communications — 13 citations into it
Whom Thibaud Lutellier trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Miltiadis Allamanis
- Yoshua Bengio
- Martin White
- Claire Le Goues
- Geoffrey E. Hinton
- Fan Long
- Ilya Sutskever
- Georgios Gousios
- Diederik P. Kingma
- James Bergstra
Who trusts Thibaud Lutellier overall
Papers from Thibaud Lutellier's perspective
Ordered by how strongly the researchers Thibaud Lutellier trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
Their papers
- CRADLE: Cross-Backend Validation to Detect and Localize Bugs in Deep Learning Libraries (2019) — 214 citations
- Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training (2021) — 49 citations
- CURE: Code-Aware Neural Machine Translation for Automatic Program Repair (2021) — 415 citations
- CoCoNuT: combining context-aware neural translation models using ensemble for program repair (2020) — 436 citations