Thomas M. Hehn
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 20 citations into it; #17,855 of 21,575 by trust here, #17,757 by citations
- Artificial Intelligence — 14 citations into it; #28,653 of 35,345 by trust here, #27,551 by citations
- Model Architectures — 6 citations into it; #1,867 of 2,278 by trust here, #2,037 by citations
- Evaluation & Benchmarks — 5 citations into it
Whom Thomas M. Hehn trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- Diederik P. Kingma
- Yann LeCun
- Michael I. Jordan
- Geoffrey E. Hinton
- Simon S. Haykin
- Yoshua Bengio
- Jimmy Ba
- Peter W. Frey
- Trevor J. Hastie
Who trusts Thomas M. Hehn overall
- Vinícius G. Costa
- Emir Demirovi'c
- Hussein Hazimeh
- Yizeng Han
- Alvin Wan
- Carlos Eduardo Pedreira
- Natalia Ponomareva
- Gao Huang
- Daniel Ho
Papers from Thomas M. Hehn's perspective
Ordered by how strongly the researchers Thomas M. Hehn 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
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- End-to-End Learning of Decision Trees and Forests (2019) — 66 citations