Paban Sarma

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 7 citations into it
• Optimization & Training — 7 citations into it
• Computational Mechanics — 6 citations into it
• Computer Networks and Communications — 5 citations into it
• Management Science and Operations Research — 5 citations into it

Whom Paban Sarma trusts overall

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

1. Mark W. Schmidt
2. Martin A. Zinkevich
3. Nicolas Le Roux
4. Francis R. Bach
5. Rie Johnson
6. Angelia Nedić
7. Tianbao Yang
8. Michael P. Friedlander
9. Lijun Zhang
10. Eric C. Hall

Papers from Paban Sarma's perspective

Ordered by how strongly the researchers Paban Sarma trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Tracking Moving Agents via Inexact Online Gradient Descent Algorithm (2017) — 45 citations