Ahmad Beirami
Artificial Intelligence · 2017–2022
A researcher in the Science corpus: 7 papers; trusts 149 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 164 citations into it; #29,871 of 35,345 by trust here, #19,018 by citations
- Reinforcement Learning — 58 citations into it
- Safety, Robustness & Interpretability — 36 citations into it
- Optimization & Training — 33 citations into it
- Federated & Distributed Learning — 30 citations into it
- Computer Vision and Pattern Recognition — 28 citations into it
- Management Science and Operations Research — 23 citations into it
- Statistics and Probability — 17 citations into it
Whom Ahmad Beirami trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
- Kaiming He
- Ilya Sutskever
- Bradley Efron
- Ross B. Girshick
- Christian Szegedy
Who trusts Ahmad Beirami overall
Papers from Ahmad Beirami's perspective
Ordered by how strongly the researchers Ahmad Beirami trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- On Optimal Generalizability in Parametric Learning (2017) — 58 citations
- Tilted Empirical Risk Minimization (2020) — 155 citations
- A Characterization of Guesswork on Swiftly Tilting Curves (2018) — 30 citations
- Robust Conversational Agents against Imperceptible Toxicity Triggers (2022) — 39 citations
- Ditto: Fair and Robust Federated Learning Through Personalization (2020) — 1,411 citations
- On Multi-Agent Learning in Team Sports Games (2019) — 14 citations
- Winning Isn't Everything: Training Human-Like Agents for Playtesting and Game AI (2019) — 10 citations