Henry Tsai
Artificial Intelligence · 2009–2020
A researcher in the Science corpus: 6 papers; trusts 59 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 83 citations into it
- Natural Language Processing — 74 citations into it
- Computer Vision and Pattern Recognition — 32 citations into it
- Sociology and Political Science — 23 citations into it
- Evaluation & Benchmarks — 20 citations into it
- Large Language Models — 19 citations into it
- Representation & Self-Supervised Learning — 18 citations into it
- Organizational Behavior and Human Resource Management — 11 citations into it
Whom Henry Tsai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- E. Heath
- A. Akbaba
- M. Enright
- Jacob Devlin
- Ashish Vaswani
- Yoshua Bengio
- Mike Schuster
- Nishaal Gooroochurn
- Matthias Fuchs
Who trusts Henry Tsai overall
- Wenhui Wang
- Ziheng Wang
- Jason Wei
- Xipeng Qiu
- Shaojun Zhou
- Zhiqing Sun
- Xinyu Wang
- Dorottya Demszky
- Raija Komppula
- Furu Wei
Papers from Henry Tsai's perspective
Ordered by how strongly the researchers Henry Tsai trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation (2019) — 76 citations
- Rethinking embedding coupling in pre-trained language models (2020) — 187 citations
- Small and Practical BERT Models for Sequence Labeling (2019) — 128 citations
- Travel photos : motivations, image dimensions, and affective qualities of places (2014) — 233 citations
- TOURISM AND HOTEL COMPETITIVENESS RESEARCH (2009) — 226 citations
- Organizational justice, employees' ethical behavior, and job satisfaction in the casino industry (2010) — 106 citations