Arpan Gujarati

Computer Networks and Communications · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 16 citations into it
• Information Systems — 14 citations into it
• ML Systems & Hardware — 10 citations into it

Whom Arpan Gujarati trusts overall

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

1. Michael M. Mitzenmacher
2. Joseph Dean
3. Kaiming He
4. Daniel Crankshaw
5. X. Zhang
6. Luiz André Barroso
7. Shaoqing Ren
8. Geoffrey E. Hinton
9. Xin Wang
10. Alex Krizhevsky

Who trusts Arpan Gujarati overall

1. Hong Zhang
2. Chengliang Zhang
3. Amey Agrawal
4. Yupeng Tang

Papers from Arpan Gujarati's perspective

Ordered by how strongly the researchers Arpan Gujarati 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. Long Short-Term Memory
5. ImageNet Large Scale Visual Recognition Challenge
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Swayam: distributed autoscaling to meet SLAs of machine learning inference services with resource efficiency (2017) — 131 citations
• Serving DNNs like Clockwork: Performance Predictability from the Bottom Up (2020) — 420 citations