Hiroaki Sugiyama

2012

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Hiroaki Sugiyama trusts overall

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

1. Andrew Y. Ng
2. Thore Graepel
3. Richard S. Wallace
4. Pieter Abbeel

Papers from Hiroaki Sugiyama's perspective

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

1. Apprenticeship learning via inverse reinforcement learning
2. Maximum Entropy Inverse Reinforcement Learning
3. Pharmacokinetics of a novel formulation of ivermectin after administration to goats
4. ImageNet classification with deep convolutional neural networks
5. Large Margin Rank Boundaries for Ordinal Regression
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Preference-Based Policy Iteration: Leveraging Preference Learning for Reinforcement Learning
8. Gradient-based learning applied to document recognition
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. The Anatomy of A.L.I.C.E.

Their papers

• Preference-learning based Inverse Reinforcement Learning for Dialog Control (2012) — 44 citations