Or Biran
Artificial Intelligence · 2014–2020
A researcher in the Science corpus: 3 papers; trusts 158 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 62 citations into it; #29,826 of 35,345 by trust here, #29,412 by citations
- Natural Language Processing — 30 citations into it; #4,860 of 5,688 by trust here, #5,092 by citations
- Computer Vision and Pattern Recognition — 27 citations into it
- Safety, Robustness & Interpretability — 19 citations into it; #587 of 2,251 by trust here, #876 by citations
- Information Systems — 13 citations into it
- Evaluation & Benchmarks — 9 citations into it
Whom Or Biran trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sebastian Thrun
- Karen Simonyan
- Yoshua Bengio
- Dzmitry Bahdanau
- Geoffrey E. Hinton
- Been Kim
- Brian Y. Lim
- Carmen Lacave
- Alex Krizhevsky
- Cynthia Rudin
Who trusts Or Biran overall
- Giulia Vilone
- Sarah Wiegreffe
- Tim Miller
- Longo Luca
- Ana Marasovic
- Adrien Bennetot
- Jie M. Zhang
- D. Richard Kuhn
- Ben Shneiderman
- Lucy R. Chai
Papers from Or Biran's perspective
Ordered by how strongly the researchers Or Biran 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)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- GLUCOSE: GeneraLized and COntextualized Story Explanations (2020) — 131 citations
- Explanation and Justification in Machine Learning : A Survey Or (2017) — 554 citations
- Justification Narratives for Individual Classifications (2014)