Richard E. Harang
Artificial Intelligence · 2016–2018
A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it; #14,584 of 35,345 by trust here, #12,974 by citations
- Computer Vision and Pattern Recognition — 13 citations into it
- Safety, Robustness & Interpretability — 10 citations into it; #1,052 of 2,251 by trust here, #1,119 by citations
- Probabilistic & Bayesian Methods — 8 citations into it
- Signal Processing — 8 citations into it; #3,209 of 7,572 by trust here, #1,857 by citations
- Optimization & Training — 5 citations into it
Whom Richard E. Harang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radford M. Neal
- Geoffrey E. Hinton
- Walter J. Scheirer
- Sergey Ioffe
- Jimmy Ba
- Christian Szegedy
- Alexandru Niculescu-Mizil
- Joshua Saxe
- Yoshua Bengio
- Ethan M. Rudd
Who trusts Richard E. Harang overall
Papers from Richard E. Harang's perspective
Ordered by how strongly the researchers Richard E. Harang 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
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Crafting adversarial input sequences for recurrent neural networks (2016) — 495 citations
- Principled Uncertainty Estimation for Deep Neural Networks (2018) — 3 citations