Max Shatkhin

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it; #33,249 of 35,345 by trust here, #14,718 by citations
• Computer Vision and Pattern Recognition — 22 citations into it; #20,364 of 21,575 by trust here, #10,010 by citations
• Reinforcement Learning — 15 citations into it

Whom Max Shatkhin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Ronald J. Williams
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Richard S. Sutton

Who trusts Max Shatkhin overall

1. Yoav Artzi

Papers from Max Shatkhin's perspective

Ordered by how strongly the researchers Max Shatkhin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Gradient-based learning applied to document recognition
2. Long Short-Term Memory
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Rectified Linear Units Improve Restricted Boltzmann Machines
5. Dropout: a simple way to prevent neural networks from overfitting
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
8. ImageNet classification with deep convolutional neural networks
9. Playing Atari with Deep Reinforcement Learning (arXiv.org)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Mapping Instructions to Actions in 3D Environments with Visual Goal Prediction (2018) — 200 citations