Thomas Grubinger
Artificial Intelligence · 2014–2017
A researcher in the Science corpus: 2 papers; trusts 27 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #17,162 of 35,345 by trust here, #11,921 by citations
- Computer Vision and Pattern Recognition — 13 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
Whom Thomas Grubinger trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Karen Simonyan
- Yoshua Bengio
- Baochen Sun
- Arthur Gretton
- Ilya Sutskever
- Diederik P. Kingma
- Yann LeCun
- Andrew Zisserman
Who trusts Thomas Grubinger overall
- Max Tabord‐Meehan
- Susan Athey
- Emilio Carrizosa
- Sebastiaan Höppner
- M. Delgado
- Jian Liang
- Stefan Wager
- Jack Dunn
- Xingchao Peng
- Devamanyu Hazarika
Papers from Thomas Grubinger's perspective
Ordered by how strongly the researchers Thomas Grubinger 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Central Moment Discrepancy (CMD) for Domain-Invariant Representation Learning (2017) — 675 citations
- evtree: Evolutionary Learning of Globally Optimal Classification and Regression Trees in R (2014) — 208 citations