Stephen Jose Hanson
Cognitive Neuroscience · 1988–2019
A researcher in the Science corpus: 8 papers; trusts 11 researchers and is trusted by 56 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 43 citations into it; #8,957 of 10,852 by trust here, #5,677 by citations
- Artificial Intelligence — 10 citations into it; #14,984 of 35,345 by trust here, #14,181 by citations
- Model Architectures — 8 citations into it
- Optimization & Training — 6 citations into it; #487 of 2,601 by trust here, #961 by citations
Whom Stephen Jose Hanson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ronald J. Williams
- Thomas M. Cover
- David E. Rumelhart
- David Zipser
- Geoffrey E. Hinton
- Pierre Baldi
- John-Dylan Haynes
- Michael I. Jordan
- Vladimir Naumovich Vapni
- Robert E. Schapire
Who trusts Stephen Jose Hanson overall
- J. Urgen Schmidhuber
- Ilya Loshchilov
- Alex Hernandez-Garcia
- Yoshua Bengio
- Yu Cheng
- Hongyu Guo
- Frank Hutter
- Imanol Schlag
- Song Han
- James T. Kwok
Papers from Stephen Jose Hanson's perspective
Ordered by how strongly the researchers Stephen Jose Hanson trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- 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)
- Pattern Recognition and Machine Learning
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Nonlinear Autoassociation Is Not Equivalent to PCA (2000) — 190 citations
- PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI Data (2009) — 486 citations
- Advancing functional connectivity research from association to causation (2019) — 314 citations
- Predicting Structured Data (2008)
- On the Emergence of Rules in Neural Networks (2002) — 25 citations
- A stochastic version of the delta rule (1990)
- Meiosis Networks (1989)
- Comparing Biases for Minimal Network Construction with Back-Propagation (1988)