Udayan Khurana

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it; #14,916 of 35,345 by trust here, #22,463 by citations
• Computer Vision and Pattern Recognition — 10 citations into it
• Information Systems — 5 citations into it
• Neural Architecture Search & AutoML — 5 citations into it

Whom Udayan Khurana trusts overall

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

1. I. Fodor
2. Shaul Markovitch
3. Ofer Dor
4. James Max Kanter
5. Christopher J. C. H. Watkins
6. James Bergstra
7. Yoshua Bengio
8. Matthias Feurer
9. Dmitry Storcheus
10. Geoffrey E. Hinton

Who trusts Udayan Khurana overall

1. Marc-André Zöller
2. Marco F. Huber
3. Yi-Wei Chen
4. Shubhra (Santu) Karmaker
5. Qingquan Song
6. Xia Hu

Papers from Udayan Khurana's perspective

Ordered by how strongly the researchers Udayan Khurana 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. Learning Multiple Layers of Features from Tiny Images
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Dropout: a simple way to prevent neural networks from overfitting
10. Going deeper with convolutions

Their papers

• Learning Feature Engineering for Classification (2017) — 300 citations
• Feature Engineering for Predictive Modeling using Reinforcement Learning (2017) — 237 citations