Amitabh Basu

Artificial Intelligence · 2016

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #26,796 of 35,345 by trust here, #16,771 by citations
• Model Architectures — 8 citations into it
• Scaling & Learning Theory — 5 citations into it

Whom Amitabh Basu trusts overall

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

1. Kurt Hornik
2. Geoffrey E. Hinton
3. Matus Telgarsky
4. Yoshua Bengio
5. Martin H. Anthony
6. Ronen Eldan
7. Yann LeCun
8. Ilya Sutskever
9. Alex Krizhevsky
10. Ruslan Salakhutdinov

Who trusts Amitabh Basu overall

1. Francesco Croce
2. Matthias Hein
3. Agustinus Kristiadi
4. Ainesh Bakshi
5. Raghavendra Chalapathy
6. Juncai He

Papers from Amitabh Basu's perspective

Ordered by how strongly the researchers Amitabh Basu 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Going deeper with convolutions

Their papers

• Understanding Deep Neural Networks with Rectified Linear Units (2016) — 740 citations