Yi Sun
Artificial Intelligence · with Schmidhuber · 2009–2011
A researcher in the Science corpus: 9 papers; trusts 36 researchers and is trusted by 66 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 39 citations into it; #3,793 of 35,345 by trust here, #7,606 by citations
- Reinforcement Learning — 29 citations into it
- Optimization & Training — 21 citations into it; #1,514 of 2,601 by trust here, #1,986 by citations
- Computational Theory and Mathematics — 13 citations into it; #2,681 of 12,182 by trust here, #2,104 by citations
- Control and Systems Engineering — 9 citations into it
- Management Science and Operations Research — 9 citations into it
Whom Yi Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Shun-ichi Amari
- Richard S. Sutton
- Jan Peters
- Daan Wierstra
- Nikolaus Hansen
- J. Urgen Schmidhuber
- Stefan Schaal
- Tom Schaul
- Leemon C. Baird III
- Andrew Barto
Who trusts Yi Sun overall
- J. Urgen Schmidhuber
- Tom Schaul
- Yoshua Bengio
- Mukund Sundararajan
- Tim Salimans
- Sergey Levine
- Hado van Hasselt
- Daan Wierstra
- Pieter Abbeel
- Trevor Darrell
Papers from Yi Sun's perspective
Ordered by how strongly the researchers Yi Sun 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
- Reinforcement Learning: An Introduction
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
- GENERATIVE ADVERSARIAL NETS
Their papers
- Planning to Be Surprised: Optimal Bayesian Exploration in Dynamic Environments (2011) — 174 citations
- Stochastic search using the natural gradient (2009) — 95 citations
- Efficient natural evolution strategies (2009) — 130 citations
- Exponential natural evolution strategies (2010) — 237 citations
- Exploring parameter space in reinforcement learning (2010) — 110 citations
- A linear time natural evolution strategy for non-separable functions (2011) — 36 citations
- Axiomatic attribution for multilinear functions (2011) — 31 citations
- Incremental Basis Construction from Temporal Difference Error (2011) — 19 citations
- PyBrain (2010) — 223 citations