Henry Zhou
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 66 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 46 citations into it
- Signal Processing — 24 citations into it
- Speech & Audio — 22 citations into it; #134 of 1,076 by trust here, #138 by citations
- Representation & Self-Supervised Learning — 21 citations into it
- Natural Language Processing — 19 citations into it
- Computer Vision and Pattern Recognition — 17 citations into it
- Model Architectures — 8 citations into it
Whom Henry Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alexei Baevski
- Jimmy Ba
- Alex Graves
- Yoshua Bengio
- Kaiming He
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
Who trusts Henry Zhou overall
- Wei-Ning Hsu
- Alexei Baevski
- Yu Zhang
- Changhan Wang
- Rongjie Huang
- Jinyu Li
- Alexis Conneau
- Yu-An Chung
- Evgeny Kharitonov
- Luyu Wang
Papers from Henry Zhou's perspective
Ordered by how strongly the researchers Henry Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations (2020) — 8,824 citations