M. Nazari
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 34 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 42 citations into it
- Optimization & Training — 38 citations into it
- Computational Mechanics — 18 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Management Science and Operations Research — 9 citations into it
- Model Architectures — 7 citations into it
- Natural Language Processing — 7 citations into it
- Reinforcement Learning — 6 citations into it
Whom M. Nazari trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Oriol Vinyals
- Ilya Sutskever
- Yoshua Bengio
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ronald J. Williams
- Jorge Nocedal
- Kyunghyun Cho
- Yann LeCun
- Dzmitry Bahdanau
Who trusts M. Nazari overall
- Xinyun Chen
- Matthew Veres
- Chaitanya K. Joshi
- Kaiwen Li
- Wouter Kool
- Changjun Fan
- Yuandong Tian
- Medhat A. Moussa
- Vinod Nair
- Thomas Laurent
Papers from M. Nazari's perspective
Ordered by how strongly the researchers M. Nazari 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
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Scaling Up Quasi-newton Algorithms: Communication Efficient Distributed SR1 (2019) — 17 citations
- Reinforcement Learning for Solving the Vehicle Routing Problem (2018) — 1,162 citations