Debarun Dhar

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 256 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #13,612 of 21,575 by trust here, #19,310 by citations
• Artificial Intelligence — 18 citations into it; #22,035 of 35,345 by trust here, #30,347 by citations
• Model Architectures — 6 citations into it; #1,512 of 2,278 by trust here, #2,128 by citations

Whom Debarun Dhar trusts overall

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

1. Karen Simonyan
2. Alex Krizhevsky
3. Andrew Zisserman
4. Kaiming He
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Andrew L. Maas
8. Yann LeCun
9. Diederik P. Kingma
10. Yoshua Bengio

Who trusts Debarun Dhar overall

1. Chunlin Chen
2. Weizhe Liu

Papers from Debarun Dhar's perspective

Ordered by how strongly the researchers Debarun Dhar 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Incorporating Side Information by Adaptive Convolution (2017) — 87 citations