Ariful Azad
Artificial Intelligence · 2016–2017
A researcher in the Science corpus: 4 papers; trusts 26 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it; #29,939 of 35,345 by trust here, #27,551 by citations
- Optimization & Training — 29 citations into it; #2,334 of 2,601 by trust here, #2,081 by citations
- Computer Vision and Pattern Recognition — 26 citations into it; #18,386 of 21,575 by trust here, #17,757 by citations
- Computer Networks and Communications — 13 citations into it
- Hardware and Architecture — 13 citations into it
- ML Systems & Hardware — 9 citations into it
- Model Architectures — 5 citations into it
Whom Ariful Azad trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Christian Szegedy
- Geoffrey E. Hinton
- X. Zhang
- Shaoqing Ren
- Ilya Sutskever
- Peter H. Jin
- Ross B. Girshick
- Alan M. Frieze
Who trusts Ariful Azad overall
Papers from Ariful Azad's perspective
Ordered by how strongly the researchers Ariful Azad trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Going deeper with convolutions
- 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Integrated Model, Batch, and Domain Parallelism in Training Neural Networks (2017) — 88 citations
- Communication-Avoiding Parallel Sparse-Dense Matrix-Matrix Multiplication (2016) — 63 citations
- Communication-Avoiding Optimization Methods for Distributed Massive-Scale Sparse Inverse Covariance Estimation (2017) — 12 citations
- Integrated Model and Data Parallelism in Training Neural Networks (2017) — 12 citations