Aman Agarwal

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Information Systems — 14 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Information Retrieval & Search — 5 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Aman Agarwal trusts overall

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

1. Thorsten Joachims
2. Adith Swaminathan
3. Tie-Yan Liu
4. Xuanhui Wang
5. Olivier Chapelle
6. Bernhard Schölkopf
7. Paul R. Rosenbaum
8. Tao Qin
9. Thomas Finley
10. Thomas Lipp

Who trusts Aman Agarwal overall

1. Jiawei Chen

Papers from Aman Agarwal's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• A General Framework for Counterfactual Learning-to-Rank (2018) — 149 citations