Sahin Lale
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it; #30,440 of 35,345 by trust here, #27,551 by citations
- Optimization & Training — 14 citations into it; #2,370 of 2,601 by trust here, #2,215 by citations
- Computer Vision and Pattern Recognition — 12 citations into it
- Computational Mechanics — 11 citations into it; #8,639 of 10,001 by trust here, #7,173 by citations
Whom Sahin Lale trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Samet Oymak
- Navid Azizan
- Suriya Gunasekar
- Geoffrey E. Hinton
- Yann LeCun
- Jason D. Lee
- M. Soltanolkotabi
- Yoshua Bengio
Who trusts Sahin Lale overall
Papers from Sahin Lale's perspective
Ordered by how strongly the researchers Sahin Lale trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- 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
- Stochastic Mirror Descent on Overparameterized Nonlinear Models (2019) — 83 citations