Tetsunori Kobayashi

Artificial Intelligence · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Natural Language Processing — 11 citations into it
• Speech & Audio — 11 citations into it
• Signal Processing — 10 citations into it
• Model Architectures — 8 citations into it

Whom Tetsunori Kobayashi trusts overall

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

1. Tomas Mikolov
2. Yoshua Bengio
3. Jeffrey L. Elman
4. Yusuke Shinohara
5. Sergey Ioffe
6. Sepp Hochreiter

Papers from Tetsunori Kobayashi's perspective

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

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

Their papers

• Speaker Invariant Feature Extraction for Zero-Resource Languages with Adversarial Learning (2018) — 32 citations
• Multiscale recurrent neural network based language model (2015) — 24 citations