Sandeep Pendyam

Efficiency & Compression · 2019

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Efficiency & Compression — 31 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Artificial Intelligence — 24 citations into it
• Computational Mathematics — 7 citations into it

Whom Sandeep Pendyam trusts overall

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

1. Diederik P. Kingma
2. Yann LeCun
3. Geoffrey E. Hinton
4. Kaiming He
5. Alex Krizhevsky
6. Max Welling
7. Yoshua Bengio
8. X. Zhang
9. Mingxing Tan
10. Christos Louizos

Papers from Sandeep Pendyam's perspective

Ordered by how strongly the researchers Sandeep Pendyam 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. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Taxonomy and Evaluation of Structured Compression of Convolutional Neural Networks (2019) — 27 citations