Akifumi Wachi

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it
• Reinforcement Learning — 12 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Safety, Robustness & Interpretability — 5 citations into it

Whom Akifumi Wachi trusts overall

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

1. Igor Mordatch
2. David Hilton Wolpert
3. Liviu Panait
4. Ian J. Goodfellow
5. Tom Schaul
6. Pieter Abbeel
7. Lerrel Pinto
8. Sam Devlin
9. Yuchi Tian
10. Geoffrey E. Hinton

Who trusts Akifumi Wachi overall

1. B. R. Kiran

Papers from Akifumi Wachi's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Et al
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Failure-Scenario Maker for Rule-Based Agent using Multi-agent Adversarial Reinforcement Learning and its Application to Autonomous Driving (2019) — 87 citations