Jaroslav M. Fowkes
Information Systems · 2014–2015
A researcher in the Science corpus: 3 papers; trusts 45 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 58 citations into it; #5,409 of 8,771 by trust here, #7,386 by citations
- Artificial Intelligence — 31 citations into it
- Software — 18 citations into it
- Code Generation & Program Synthesis — 15 citations into it
- Natural Language Processing — 15 citations into it
- Computer Networks and Communications — 12 citations into it; #6,449 of 9,886 by trust here, #8,844 by citations
- Computer Science Applications — 8 citations into it
- Computational Theory and Mathematics — 7 citations into it
Whom Jaroslav M. Fowkes trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Tao Xie
- Miltiadis Allamanis
- Jiawei Han
- Jian Pei
- Raymond P. L. Buse
- Premkumar T. Devanbu
- Jianyong Wang
- Arthur P. Dempster
- Mohammed J. Zaki
- Charles Sutton
Who trusts Jaroslav M. Fowkes overall
- Miltiadis Allamanis
- Trong Duc Nguyen
- Xiaodong Gu
- Ugur Koc
- Earl T. Barr
- Anh Tuan Nguyen
- Hongyu Zhang
- Premkumar T. Devanbu
- Parsa Saadatpanah
- Hung Dang Phan
Papers from Jaroslav M. Fowkes's perspective
Ordered by how strongly the researchers Jaroslav M. Fowkes trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Parameter-free probabilistic API mining across GitHub (2015) — 99 citations
- Parameter-Free Probabilistic API Mining at GitHub Scale (2015) — 13 citations
- Autofolding for Source Code Summarization (2014) — 57 citations