Jonathan Huang
Artificial Intelligence · with Fukumizu · 2007–2009
A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 17 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 5 citations into it; #7,484 of 35,345 by trust here, #12,761 by citations
Whom Jonathan Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xavier Boyen
- Alex Smola
- Arthur Gretton
- Kenji Fukumizu
- Daphne Koller
- Bernhard Schölkopf
- Yasemin Altun
- Francis R. Bach
- Xinhua Zhang
- Novi Quadrianto
Who trusts Jonathan Huang overall
- Kenji Fukumizu
- Le Song
- Arthur Gretton
- Yu Nishiyama
- Steffen Grünewälder
- Quoc V. Le
- Motonobu Kanagawa
- Krikamol Muandet
- Kun Zhang
- Bernhard Schölkopf
Papers from Jonathan Huang's perspective
Ordered by how strongly the researchers Jonathan Huang 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- GENERATIVE ADVERSARIAL NETS
Their papers
- Hilbert space embeddings of conditional distributions with applications to dynamical systems (2009) — 415 citations
- Efficient Inference for Distributions on Permutations (2007) — 43 citations