Ankit J. Shah
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 54 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 42 citations into it
- Safety, Robustness & Interpretability — 29 citations into it
- Computer Vision and Pattern Recognition — 19 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
Whom Ankit J. Shah trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Karen Simonyan
- Yoshua Bengio
- Diederik P. Kingma
- Yann LeCun
- Kaiming He
- Matthew D. Zeiler
- Ilya Sutskever
- Radford M. Neal
Papers from Ankit J. Shah's perspective
Ordered by how strongly the researchers Ankit J. Shah 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)