Ravit Dotan
Artificial Intelligence · 2019–2021
A researcher in the Science corpus: 2 papers; trusts 60 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 89 citations into it
- Computer Vision and Pattern Recognition — 57 citations into it
- Safety, Robustness & Interpretability — 34 citations into it; #1,859 of 2,251 by trust here, #1,265 by citations
- Evaluation & Benchmarks — 14 citations into it
- Natural Language Processing — 14 citations into it
- Large Language Models — 11 citations into it
- Sociology and Political Science — 7 citations into it
Whom Ravit Dotan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ilya Sutskever
- Mark Everingham
- T. Kuhn
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Jia Deng
- Kaiming He
Who trusts Ravit Dotan overall
Papers from Ravit Dotan's perspective
Ordered by how strongly the researchers Ravit Dotan 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
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- The Values Encoded in Machine Learning Research (2021) — 401 citations
- Value-laden disciplinary shifts in machine learning (2019) — 55 citations