Dhish Kumar Saxena

Computational Theory and Mathematics · 2013

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

• Computational Theory and Mathematics — 20 citations into it; #11,569 of 12,182 by trust here, #5,046 by citations
• Artificial Intelligence — 16 citations into it; #33,620 of 35,345 by trust here, #20,836 by citations

Whom Dhish Kumar Saxena trusts overall

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

1. Kalyanmoy Deb
2. Jonathon Shlens
3. Eckart Zitzler
4. Joshua D. Knowles
5. Kilian Q. Weinberger
6. Bernhard Schölkopf
7. Marco Laumanns
8. David Wolfe Corne
9. Lawrence K. Saul
10. Lothar Thiele

Who trusts Dhish Kumar Saxena overall

1. Handing Wang
2. Ran Cheng
3. Bingdong Li
4. Xin Yao
5. Kalyanmoy Deb
6. L. Jiao
7. Ye Tian
8. Xing-yi Zhang
9. Shengxiang Yang
10. Jinlong Li

Papers from Dhish Kumar Saxena's perspective

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

Their papers

• Objective Reduction in Many-Objective Optimization: Linear and Nonlinear Algorithms (2013) — 296 citations