Tzu-Kuo Huang
Artificial Intelligence · 2010–2018
A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 23 citations into it; #18,086 of 35,345 by trust here, #14,181 by citations
- Probabilistic & Bayesian Methods — 7 citations into it
- Statistics and Probability — 5 citations into it
Whom Tzu-Kuo Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sanjoy Dasgupta
- Maria-Florina Balcan
- Alexandre B. Tsybakov
- Steve Hanneke
- David Freedman
- J. Langford
- Alina Beygelzimer
- Nikos Karampatziakis
- Ruslan Salakhutdinov
- Yehuda Koren
Who trusts Tzu-Kuo Huang overall
Papers from Tzu-Kuo Huang's perspective
Ordered by how strongly the researchers Tzu-Kuo Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks (2018) — 741 citations
- Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization (2010) — 731 citations
- Efficient and Parsimonious Agnostic Active Learning (2015) — 49 citations