Abhinav Aggarwal

Artificial Intelligence · 2018

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 — 14 citations into it

Whom Abhinav Aggarwal trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Grgoire Montavon

Papers from Abhinav Aggarwal's perspective

Ordered by how strongly the researchers Abhinav Aggarwal trusts endorse each paper. Same corpus, a different order for every researcher.

1. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
2. GloVe: Global Vectors for Word Representation
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Attention is All you Need (Neural Information Processing Systems)
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Paying Attention to Attention: Highlighting Influential Samples in Sequential Analysis (2018)