Anish Agarwal

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Management Science and Operations Research — 7 citations into it

Whom Anish Agarwal trusts overall

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

1. Robin D. Hanson
2. Arpita Ghosh
3. Martín Abadi
4. Elad Hazan
5. Aaron Roth
6. Peter Auer
7. Roger B. Myerson
8. Aranyak Mehta
9. Hal R. Varian
10. Ucla M. KEITH CHEN

Papers from Anish Agarwal's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning Multiple Layers of Features from Tiny Images
6. TensorFlow: A system for large-scale machine learning
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• A Marketplace for Data: An Algorithmic Solution (2018) — 306 citations