Jim Huang

Artificial Intelligence · with Dong · 2018

A researcher in the Science corpus: 1 paper; trusts 70 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it; #24,297 of 35,345 by trust here, #31,361 by citations
• Natural Language Processing — 23 citations into it; #4,067 of 5,688 by trust here, #5,296 by citations
• Evaluation & Benchmarks — 5 citations into it
• Information Systems — 5 citations into it

Whom Jim Huang trusts overall

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

1. Diederik P. Kingma
2. Yoon Kim
3. Oriol Vinyals
4. Tomas Mikolov
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Yoshua Bengio
8. Ellen M. Voorhees
9. Christopher D. Manning
10. Jimmy Ba

Who trusts Jim Huang overall

1. Jia-Chen Gu
2. Taesun Whang

Papers from Jim Huang's perspective

Ordered by how strongly the researchers Jim Huang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Enhance word representation for out-of-vocabulary on Ubuntu dialogue corpus (2018) — 24 citations