Yash Savani
Artificial Intelligence · 2019–2020
A researcher in the Science corpus: 4 papers; trusts 445 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 118 citations into it; #19,864 of 35,345 by trust here, #19,873 by citations
- Computer Vision and Pattern Recognition — 70 citations into it; #12,416 of 21,575 by trust here, #13,269 by citations
- Neural Architecture Search & AutoML — 65 citations into it; #187 of 283 by trust here, #217 by citations
- Evaluation & Benchmarks — 23 citations into it
- Model Architectures — 22 citations into it
- Optimization & Training — 16 citations into it
- Materials Chemistry — 14 citations into it
- Probabilistic & Bayesian Methods — 14 citations into it
Whom Yash Savani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Quoc V. Le
- Ronald J. Williams
- Barret Zoph
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Frank Hutter
- Kaiming He
- Karen Simonyan
- Willie Neiswanger
Who trusts Yash Savani overall
Papers from Yash Savani's perspective
Ordered by how strongly the researchers Yash Savani 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A Study on Encodings for Neural Architecture Search (2020) — 85 citations
- Local Search is State of the Art for Neural Architecture Search Benchmarks (2020) — 13 citations
- Local Search is State of the Art for NAS Benchmarks (2020) — 30 citations
- BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search (2019) — 413 citations