Andy Davis
Artificial Intelligence · 2016–2022
A researcher in the Science corpus: 7 papers; trusts 14 researchers and is trusted by 208 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 120 citations into it; #9,830 of 35,345 by trust here, #504 by citations
- Computer Vision and Pattern Recognition — 75 citations into it; #2,675 of 21,575 by trust here, #412 by citations
- Hardware and Architecture — 47 citations into it; #1,466 of 1,551 by trust here, #9 by citations
- Model Architectures — 38 citations into it; #1,759 of 2,278 by trust here, #317 by citations
- Computational Theory and Mathematics — 7 citations into it
Whom Andy Davis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Sepp Hochreiter
- Alex Graves
- Diederik P. Kingma
- J. Urgen Schmidhuber
- Yann LeCun
- Kaiming He
Who trusts Andy Davis overall
- Yoshua Bengio
- Barret Zoph
- Quoc V. Le
- Liang-Chieh Chen
- Yi Tay
- Yi Yang
- Irwan Bello
- Ruslan Salakhutdinov
- Hanlin Tang
- Xue Yang
Papers from Andy Davis's perspective
Ordered by how strongly the researchers Andy Davis 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 Large Scale Visual Recognition Challenge
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- TensorFlow: A system for large-scale machine learning (2016) — 19,838 citations
- Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer (2017) — 5,113 citations
- Overlap Communication with Dependent Computation via Decomposition in Large Deep Learning Models (2022) — 117 citations
- Dynamic control flow in large-scale machine learning (2018) — 112 citations
- MLIR: A Compiler Infrastructure for the End of Moore's Law (2020) — 325 citations
- MLIR: Scaling Compiler Infrastructure for Domain Specific Computation (2021) — 679 citations
- TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems (2016) — 11,798 citations