Dipak Chaudhari

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #34,849 of 35,345 by trust here, #23,731 by citations
• Computer Vision and Pattern Recognition — 11 citations into it
• Model Architectures — 5 citations into it

Whom Dipak Chaudhari trusts overall

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

1. Yann LeCun
2. Barret Zoph
3. Yoshua Bengio
4. Benjamin C. Pierce
5. T. Lindvall
6. Geoffrey E. Hinton
7. L. Eon Bottou
8. Sebastian Thrun
9. Alex Krizhevsky
10. Quoc V. Le

Who trusts Dipak Chaudhari overall

1. Swarat Chaudhuri
2. Jorge Armando Mendez Mendez
3. Senthil Purushwalkam
4. Lazar Valkov

Papers from Dipak Chaudhari's perspective

Ordered by how strongly the researchers Dipak Chaudhari 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• HOUDINI: Lifelong Learning as Program Synthesis (2018) — 86 citations