James Petterson
Artificial Intelligence · 2009–2012
A researcher in the Science corpus: 5 papers; trusts 13 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it; #27,150 of 35,345 by trust here, #17,110 by citations
- Statistics and Probability — 9 citations into it
- Computational Mechanics — 7 citations into it
- Natural Language Processing — 7 citations into it
- Signal Processing — 6 citations into it; #5,726 of 7,572 by trust here, #2,816 by citations
- Control and Systems Engineering — 5 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom James Petterson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thorsten Joachims
- Graham Cormode
- David D. Lewis
- Ali Rahimi
- E. Tjong Kim Sang
- Yasemin Altun
- John Shawe-Taylor
- Shai Fine
- Alex Smola
- Bernhard Schölkopf
Who trusts James Petterson overall
- Bernd Bohnet
- Aliaksei Severyn
- James T. Wilson
- Novi Quadrianto
- Kilian Q. Weinberger
- Rahaf Aljundi
- Jessica Clark
- Jorge Sánchez
- Otkrist Gupta
- Ye Zhang
Papers from James Petterson's perspective
Ordered by how strongly the researchers James Petterson 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)
- Multitask Learning
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
Their papers
- Hash Kernels for Structured Data (2009) — 240 citations
- Tighter Variational Representations of f-Divergences via Restriction to Probability Measures (2012) — 69 citations
- Multitask Learning without Label Correspondences (2010) — 44 citations
- Distribution Matching for Transduction (2009) — 48 citations
- Hash Kernels (2009) — 89 citations