Tadashi Kozuno

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it
• Reinforcement Learning — 45 citations into it
• Computational Theory and Mathematics — 12 citations into it
• Control and Systems Engineering — 9 citations into it
• Electrical and Electronic Engineering — 7 citations into it

Whom Tadashi Kozuno trusts overall

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

1. John Schulman
2. E. Todorov
3. Sergey Levine
4. Richard S. Sutton
5. Pieter Abbeel
6. Geoffrey E. Hinton
7. Jan Peters
8. Diederik P. Kingma
9. Tuomas Haarnoja
10. Yoshua Bengio

Who trusts Tadashi Kozuno overall

1. Scott Fujimoto
2. Tomasz Korbak

Papers from Tadashi Kozuno's perspective

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

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

Their papers

• Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning (2021) — 14 citations