Harlan Seymour

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #34,725 of 35,345 by trust here, #32,362 by citations
• Reinforcement Learning — 14 citations into it; #2,204 of 2,242 by trust here, #2,160 by citations

Whom Harlan Seymour trusts overall

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

1. Yarin Gal
2. Tilmann Gneiting
3. Richard S. Sutton

Who trusts Harlan Seymour overall

1. Sergey Levine

Papers from Harlan Seymour's perspective

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

1. Reinforcement Learning: An Introduction
2. MuJoCo: A physics engine for model-based control
3. Densely Connected Convolutional Networks
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. On Calibration of Modern Neural Networks

Their papers

• Calibrated Model-Based Deep Reinforcement Learning (2019) — 62 citations