Ausif Mahmood
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 86 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it; #16,377 of 35,345 by trust here, #23,077 by citations
- Computer Vision and Pattern Recognition — 17 citations into it; #10,418 of 21,575 by trust here, #15,162 by citations
- Model Architectures — 12 citations into it
- Optimization & Training — 8 citations into it
- Signal Processing — 8 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Ausif Mahmood trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yann LeCun
- Yoshua Bengio
- Diederik P. Kingma
- Ruslan Salakhutdinov
- Kaiming He
- James Martens
- J. Urgen Schmidhuber
- Sepp Hochreiter
- Alex Krizhevsky
Who trusts Ausif Mahmood overall
Papers from Ausif Mahmood's perspective
Ordered by how strongly the researchers Ausif Mahmood 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
- 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
- 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
- Review of Deep Learning Algorithms and Architectures (2019) — 1,518 citations