Andrea Janes
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 102 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 81 citations into it; #26,218 of 35,345 by trust here, #21,316 by citations
- Natural Language Processing — 75 citations into it; #5,471 of 5,688 by trust here, #4,250 by citations
- Information Systems — 63 citations into it; #5,996 of 8,771 by trust here, #4,518 by citations
- Code Generation & Program Synthesis — 30 citations into it
- Software — 27 citations into it
- Signal Processing — 21 citations into it
- Program Analysis & Verification — 17 citations into it
- Large Language Models — 16 citations into it
Whom Andrea Janes trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Miltiadis Allamanis
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ilya Sutskever
- Premkumar T. Devanbu
- Alex Krizhevsky
- Tomas Mikolov
- Charles Sutton
- Jimmy Ba
Who trusts Andrea Janes overall
Papers from Andrea Janes's perspective
Ordered by how strongly the researchers Andrea Janes trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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)
- 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
Their papers
- Big Code != Big Vocabulary: Open-Vocabulary Models for Source Code (2020) — 235 citations
- Modeling Vocabulary for Big Code Machine Learning (2019) — 21 citations