Ishan Deshpande

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it; #11,681 of 21,575 by trust here, #16,787 by citations
• Generative Models — 14 citations into it
• Artificial Intelligence — 13 citations into it; #18,556 of 35,345 by trust here, #25,809 by citations
• Optimization & Training — 6 citations into it

Whom Ishan Deshpande trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Cédric Villani
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Yoshua Bengio
7. Diederik P. Kingma
8. L. Eon Bottou
9. Kaiming He
10. Ziwei Liu

Who trusts Ishan Deshpande overall

1. Mohammad Rostami
2. Liu Yang
3. Yingtao Tian
4. Soheil Kolouri
5. Mark Rowland
6. G. Em Karniadakis
7. Jesse Engel
8. Kimia Nadjahi
9. Jiri Hron
10. François-Pierre Paty

Papers from Ishan Deshpande's perspective

Ordered by how strongly the researchers Ishan Deshpande 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. ImageNet: A large-scale hierarchical image database
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Generative Modeling Using the Sliced Wasserstein Distance (2018) — 260 citations