Vlad Firoiu
Artificial Intelligence · 2017–2022
A researcher in the Science corpus: 4 papers; trusts 34 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 123 citations into it; #13,695 of 35,345 by trust here, #2,568 by citations
- Reinforcement Learning — 60 citations into it; #1,338 of 2,242 by trust here, #342 by citations
- Computer Vision and Pattern Recognition — 33 citations into it
Whom Vlad Firoiu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ronald J. Williams
- Volodymyr Mnih
- G. Tesauro
- Jonathan Richard Shewchuk
- Richard S. Sutton
- David Silver
- Geoffrey E. Hinton
- Alex Krizhevsky
- John Schulman
- Hado van Hasselt
Who trusts Vlad Firoiu overall
Papers from Vlad Firoiu's perspective
Ordered by how strongly the researchers Vlad Firoiu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures (2018) — 1,890 citations
- Improving alignment of dialogue agents via targeted human judgements (2022) — 676 citations
- Automated curricula through setter-solver interactions (2019) — 60 citations
- Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning (2017) — 43 citations