Daichi Mochihashi

Signal Processing · 2013–2016

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 5 citations into it

Whom Daichi Mochihashi trusts overall

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

1. Cédric Févotte
2. Daniel W. Griffin

Papers from Daichi Mochihashi's perspective

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

1. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
2. Reinforcement Learning: An Introduction
3. Mastering the game of Go with deep neural networks and tree search
4. ImageNet classification with deep convolutional neural networks
5. Long Short-Term Memory
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. Improved backing-off for M-gram language modeling
9. Attention is All you Need (Neural Information Processing Systems)
10. Bandit Based Monte-Carlo Planning

Their papers

• Human-like Natural Language Generation Using Monte Carlo Tree Search (2016) — 19 citations
• Beyond NMF: Time-Domain Audio Source Separation without Phase Reconstruction (2013) — 36 citations