Avner Bar-Hen
Artificial Intelligence · with Commenges · 2008–2019
A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Statistics and Probability — 11 citations into it
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Avner Bar-Hen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Yarin Gal
- Geoffrey E. Hinton
- Alex Krizhevsky
- Alex Kendall
- Kaiming He
- Robert Tibshirani
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
Papers from Avner Bar-Hen's perspective
Ordered by how strongly the researchers Avner Bar-Hen 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)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Addressing Failure Prediction by Learning Model Confidence (2019) — 369 citations
- Linking foraging behaviour to physical oceanographic structures: Southern elephant seals and mesoscale eddies east of Kerguelen Islands (2010) — 125 citations
- Estimating a difference of Kullback–Leibler risks using a normalized difference of AIC (2008) — 47 citations