Martin White
Information Systems · 2015–2018
A researcher in the Science corpus: 3 papers; trusts 83 researchers and is trusted by 32 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 70 citations into it; #816 of 8,771 by trust here, #750 by citations
- Artificial Intelligence — 61 citations into it; #13,855 of 35,345 by trust here, #14,718 by citations
- Software — 53 citations into it; #231 of 1,227 by trust here, #155 by citations
- Natural Language Processing — 49 citations into it; #2,255 of 5,688 by trust here, #2,243 by citations
- Signal Processing — 29 citations into it; #2,342 of 7,572 by trust here, #2,001 by citations
- Code Generation & Program Synthesis — 19 citations into it; #55 of 220 by trust here, #62 by citations
- Computer Vision and Pattern Recognition — 18 citations into it
- Model Architectures — 18 citations into it
Whom Martin White trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Tomas Mikolov
- Ilya Sutskever
- J. Urgen Schmidhuber
- Richard Socher
- Yann LeCun
- Premkumar T. Devanbu
- Paul J. Werbos
- R. Rosenfeld
Who trusts Martin White overall
- Vincent J. Hellendoorn
- Rafael-Michael Karampatsis
- Michele Tufano
- Thibaud Lutellier
- Xiaodong Gu
- Hongyu Zhang
- Jian Zhang
- Charles Sutton
- Michael Pradel
- Premkumar T. Devanbu
Papers from Martin White's perspective
Ordered by how strongly the researchers Martin White 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Toward Deep Learning Software Repositories (2015) — 323 citations
- An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation (2018) — 450 citations
- Deep learning code fragments for code clone detection (2016) — 690 citations