M. M. Afsar
Artificial Intelligence · 2014–2021
A researcher in the Science corpus: 2 papers; trusts 146 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 71 citations into it
- Computer Networks and Communications — 53 citations into it
- Reinforcement Learning — 51 citations into it
- Information Systems — 37 citations into it
- Computer Vision and Pattern Recognition — 26 citations into it
- Management Science and Operations Research — 26 citations into it
- Electrical and Electronic Engineering — 20 citations into it
- Recommender Systems — 9 citations into it
Whom M. M. Afsar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Richard S. Sutton
- Geoffrey E. Hinton
- Andrew Barto
- Ronald J. Williams
- Ossama Younis
- Yoshua Bengio
- Ruslan Salakhutdinov
- Ilya Sutskever
- Diederik P. Kingma
- Arati Manjeshwar
Who trusts M. M. Afsar overall
Papers from M. M. Afsar's perspective
Ordered by how strongly the researchers M. M. Afsar 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Reinforcement Learning based Recommender Systems: A Survey (2021) — 605 citations
- Clustering in sensor networks: A literature survey (2014) — 490 citations