Alan D. Blair
Artificial Intelligence · 1996–2012
A researcher in the Science corpus: 6 papers; trusts 38 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it; #19,652 of 35,345 by trust here, #28,481 by citations
- Model Architectures — 17 citations into it; #1,372 of 2,278 by trust here, #2,162 by citations
- Reinforcement Learning — 12 citations into it; #1,605 of 2,242 by trust here, #1,750 by citations
- Electrical and Electronic Engineering — 8 citations into it
- Cellular and Molecular Neuroscience — 7 citations into it
- Cognitive Neuroscience — 6 citations into it
- Neuroscience — 5 citations into it
- Natural Language Processing — 5 citations into it; #3,348 of 5,688 by trust here, #5,296 by citations
Whom Alan D. Blair trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jeffrey L. Elman
- Michael Casey
- Ronald J. Williams
- Scott E. Fahlman
- Sebastian Risi
- David E. Rumelhart
- Arthur L. Samuel
- Kenneth O. Stanley
- Jordan B. Pollack
- G. Tesauro
Who trusts Alan D. Blair overall
- J. Urgen Schmidhuber
- Henrik Jacobsson
- Stephan K. Chalup
- P. Rodríguez
- Mikael Bodén
- Yonatan Belinkov
- Peter Tino
- Whitney Tabor
- Mirac Suzgun
- Jonathan Baxter
Papers from Alan D. Blair's perspective
Ordered by how strongly the researchers Alan D. Blair 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)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Et al
- GENERATIVE ADVERSARIAL NETS
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
Their papers
- Incremental training of first order recurrent neural networks to predict a context-sensitive language (2003) — 32 citations
- Evolving Plastic Neural Networks for Online Learning: Review and Future Directions (2012) — 19 citations
- Bootstrapping from Game Tree Search (2009) — 67 citations
- Analysis of Dynamical Recognizers (1997)
- Why did TD-Gammon Work? (1996)
- Coevolution of a Backgammon Player (1996)