Takashi Kuremoto

Artificial Intelligence · 2009–2014

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it; #19,165 of 35,345 by trust here, #15,236 by citations
• Reinforcement Learning — 6 citations into it

Whom Takashi Kuremoto trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Ahmad Salman
4. G. Zhang
5. Nicolas Le Roux
6. James Kennedy
7. Terrence J. Sejnowski
8. David H. Ackley
9. Richard S. Sutton
10. G. Fiquet

Who trusts Takashi Kuremoto overall

1. Daniel Hsu
2. John Cristian Borges Gamboa
3. Ritika Singh
4. Rafael Hraskoa
5. Weikuan Jia
6. Zhongyang Han
7. Xiong Wen Pang
8. Srayanta Mukherjee
9. S. Srivastava
10. Michael Fairbank

Papers from Takashi Kuremoto's perspective

Ordered by how strongly the researchers Takashi Kuremoto 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Meta-learning Method Based on Temporal Difference Error (2009) — 12 citations
• Time series forecasting using a deep belief network with restricted Boltzmann machines (2014) — 511 citations