Romain Robbes
Information Systems · 2008–2022
A researcher in the Science corpus: 7 papers; trusts 150 researchers and is trusted by 29 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 126 citations into it; #774 of 8,771 by trust here, #1,284 by citations
- Artificial Intelligence — 100 citations into it; #10,012 of 35,345 by trust here, #14,438 by citations
- Natural Language Processing — 79 citations into it; #2,220 of 5,688 by trust here, #3,014 by citations
- Software — 79 citations into it; #238 of 1,227 by trust here, #315 by citations
- Code Generation & Program Synthesis — 32 citations into it; #58 of 220 by trust here, #140 by citations
- Computer Networks and Communications — 24 citations into it; #1,248 of 9,886 by trust here, #2,687 by citations
- Signal Processing — 23 citations into it
- Large Language Models — 20 citations into it
Whom Romain Robbes trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Miltiadis Allamanis
- Yoshua Bengio
- Geoffrey E. Hinton
- Premkumar T. Devanbu
- Diederik P. Kingma
- N. Nagappan
- Ilya Sutskever
- Alex Krizhevsky
- Charles Sutton
- Tomas Mikolov
Who trusts Romain Robbes overall
- Sebastian Proksch
- Chakkrit Kla Tantithamthavorn
- Vincent J. Hellendoorn
- Maliheh Izadi
- Hoan Anh Nguyen
- Shane McIntosh
- Roberta Gismondi
- Georgios Gousios
- Ahmed E. Hassan
- Tien Nhut Nguyen
Papers from Romain Robbes's perspective
Ordered by how strongly the researchers Romain Robbes trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- How Program History Can Improve Code Completion (2008) — 166 citations
- Big Code != Big Vocabulary: Open-Vocabulary Models for Source Code (2020) — 235 citations
- Can OpenAI's Codex Fix Bugs?: An evaluation on QuixBugs (2022) — 165 citations
- Modeling Vocabulary for Big Code Machine Learning (2019) — 21 citations
- An empirical study of the influence of static type systems on the usability of undocumented software (2012) — 71 citations
- Evaluating defect prediction approaches: a benchmark and an extensive comparison (2011) — 608 citations
- An extensive comparison of bug prediction approaches (2010) — 640 citations