Tao Ma

Artificial Intelligence · with Han · 2019

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Natural Language Processing — 19 citations into it
• Signal Processing — 17 citations into it
• Speech & Audio — 12 citations into it
• Model Architectures — 10 citations into it
• Optimization & Training — 5 citations into it

Whom Tao Ma trusts overall

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

1. Daniel Povey
2. Alex Graves
3. Geoffrey E. Hinton
4. Andreas Stolcke
5. Kaiming He
6. Sergey Ioffe
7. Florin Curelaru
8. Yoshua Bengio

Papers from Tao Ma's perspective

Ordered by how strongly the researchers Tao Ma 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. Attention is All you Need (Neural Information Processing Systems)
3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Long Short-Term Memory
5. ImageNet classification with deep convolutional neural networks
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
8. Layer Normalization
9. Gradient-based learning applied to document recognition
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• State-of-the-Art Speech Recognition Using Multi-Stream Self-Attention with Dilated 1D Convolutions (2019) — 79 citations