Nilesh Agrawal
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
Whom Nilesh Agrawal trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Nilesh Agrawal's perspective
Ordered by how strongly the researchers Nilesh Agrawal 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Freebase: a collaboratively created graph database for structuring human knowledge
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database