Barzan Mozafari
Artificial Intelligence · 2012–2018
A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 33 citations into it; #20,493 of 35,345 by trust here, #15,542 by citations
- Optimization & Training — 20 citations into it
- Computational Mechanics — 17 citations into it
- Computer Science Applications — 8 citations into it
- Management Science and Operations Research — 8 citations into it
- Statistics and Probability — 8 citations into it
- Numerical Analysis — 7 citations into it
- Computational Theory and Mathematics — 6 citations into it
Whom Barzan Mozafari trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sanjoy Dasgupta
- A. P. Dawid
- Sunita Sarawagi
- Alexander Pak
- Elad Hazan
- Simon Lacoste-Julien
- Adam Marcus
- Alina Beygelzimer
- Guanghui Lan
- Jiannan Wang
Who trusts Barzan Mozafari overall
Papers from Barzan Mozafari's perspective
Ordered by how strongly the researchers Barzan Mozafari 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Et al
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- BlinkDB: queries with bounded errors and bounded response times on very large data (2012) — 807 citations
- Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets (2018) — 9 citations
- Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning (2014) — 201 citations