Mark Herbster
Artificial Intelligence · 1995–2017
A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 45 citations into it
- Atomic and Molecular Physics, and Optics — 15 citations into it
- Optimization & Training — 12 citations into it
- Probabilistic & Bayesian Methods — 12 citations into it
- Statistical Learning Theory — 9 citations into it; #316 of 1,038 by trust here, #560 by citations
Whom Mark Herbster trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nick Littlestone
- Yoav Freund
- Manfred K. Warmuth
- Bernhard E. Boser
- Peter Auer
- Radford M. Neal
- Robert E. Schapire
- Geoffrey E. Hinton
- Yuhai Wu
- Edward Farhi
Who trusts Mark Herbster overall
- András György
- Eric C. Hall
- Nicolò Cesa-Bianchi
- Tor Lattimore
- Csaba Szepesvari
- Mehryar Mohri
- Gábor Lugosi
- Lijun Zhang
- Martin A. Zinkevich
- Rebecca M. Willett
Papers from Mark Herbster's perspective
Ordered by how strongly the researchers Mark Herbster 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- GENERATIVE ADVERSARIAL NETS
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Quantum machine learning: a classical perspective (2017) — 544 citations
- Tracking the Best Linear Predictor (2001) — 263 citations
- Tracking the Best Expert (1995)
- Exponentially many local minima for single neurons (1995)