Monperrus Martin
Information Systems · 2004–2018
A researcher in the Science corpus: 8 papers; trusts 21 researchers and is trusted by 54 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 52 citations into it; #515 of 8,771 by trust here, #721 by citations
- Software — 45 citations into it; #314 of 1,227 by trust here, #151 by citations
- Artificial Intelligence — 28 citations into it; #6,730 of 35,345 by trust here, #12,244 by citations
- Signal Processing — 17 citations into it
- Natural Language Processing — 15 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it; #16,199 of 21,575 by trust here, #19,766 by citations
- Representation & Self-Supervised Learning — 8 citations into it; #1,062 of 3,145 by trust here, #2,263 by citations
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Monperrus Martin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthew Brand
- Yoshua Bengio
- Sam T. Roweis
- Geoffrey E. Hinton
- Zoubin Ghahramani
- Michael E. Tipping
- Josh Tenenbaum
- Radford M. Neal
- Lawrence K. Saul
- Yann LeCun
Who trusts Monperrus Martin overall
- Yoshua Bengio
- Premkumar T. Devanbu
- Anh Tuan Nguyen
- Salah Rifai
- Rafael-Michael Karampatsis
- Pascal Vincent
- L. V. D. van der Maaten
- Miltiadis Allamanis
- Yann LeCun
- Tien Nhut Nguyen
Papers from Monperrus Martin's perspective
Ordered by how strongly the researchers Monperrus Martin 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Nonlocal Estimation of Manifold Structure (2006) — 44 citations
- Learning from examples to improve code completion systems (2009) — 425 citations
- SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair (2018) — 554 citations
- Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs (2018) — 475 citations
- SPOON: A library for implementing analyses and transformations of Java source code (2016) — 307 citations
- Fine-grained and accurate source code differencing (2014) — 615 citations
- Measuring Models (2009)
- Non-Local Manifold Tangent Learning (2004) — 104 citations