Chih-Wei Hsu
Artificial Intelligence · with Lin · 2002–2019
A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 248 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it; #1,895 of 35,345 by trust here, #3,859 by citations
- Information Systems — 25 citations into it; #4,834 of 8,771 by trust here, #4,341 by citations
- Computational Theory and Mathematics — 11 citations into it; #7,516 of 12,182 by trust here, #5,046 by citations
- Computer Vision and Pattern Recognition — 9 citations into it; #2,816 of 21,575 by trust here, #3,323 by citations
- Signal Processing — 7 citations into it
- Algorithms & Complexity — 5 citations into it
Whom Chih-Wei Hsu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Koby Crammer
- Yuhai Wu
- Donald Michie
- Yoram Singer
- David J. Spiegelhalter
- Corinna Cortes
- L. Eon Bottou
- Rong-En Fan
- Vladimir Naumovich Vapnik
- Thorsten Joachims
Who trusts Chih-Wei Hsu overall
- Achmad Widodo
- Chih-Jen Lin
- Lipo Wang
- G. Huang
- Lijun Zhao
- Adín Ramírez Rivera
- Matthias W. Seeger
- Bo-Suk Yang
- Jaume Amores
- J. G. Arnal Barbedo
Papers from Chih-Wei Hsu's perspective
Ordered by how strongly the researchers Chih-Wei Hsu trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
Their papers
- A comparison of methods for multiclass support vector machines (2002) — 6,877 citations
- Discriminative Frequent Pattern Analysis for Effective Classification (2007) — 395 citations
- RecSim: A Configurable Simulation Platform for Recommender Systems (2019) — 215 citations
- A Practical Guide to Support Vector Classication (2008) — 7,108 citations