Yahav Bechavod
Artificial Intelligence · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 28 citations into it
- Safety, Robustness & Interpretability — 28 citations into it
- Safety Research — 17 citations into it
- AI Ethics, Fairness & Society — 16 citations into it
- Sociology and Political Science — 15 citations into it
- Management Science and Operations Research — 7 citations into it
- Reinforcement Learning — 5 citations into it
Whom Yahav Bechavod trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Moritz Hardt
- Alexandra Chouldechova
- Matthew Joseph
- Nati Srebro
- Cynthia Dwork
- Eric Price
- Blake E. Woodworth
- Xinyue Shen
- Alekh Agarwal
- Michael Kearns
Who trusts Yahav Bechavod overall
- Dana Pessach
- David Madras
- Luca Oneto
- Erez Shmueli
- Zachary Chase Lipton
- Irene Y. Chen
- Toniann Pitassi
- Edward Raff
- Richard S. Zemel
- Silvia Chiappa
Papers from Yahav Bechavod's perspective
Ordered by how strongly the researchers Yahav Bechavod 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)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Fairness through awareness
- Long Short-Term Memory
- Equality of Opportunity in Supervised Learning
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Equal Opportunity in Online Classification with Partial Feedback (2019) — 67 citations
- Learning Fair Classifiers: A Regularization-Inspired Approach (2017) — 70 citations
- Penalizing Unfairness in Binary Classification (2017) — 126 citations