Abhishek Verma

Computer Networks and Communications · 2011–2019

A researcher in the Science corpus: 5 papers; trusts 72 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 44 citations into it; #9,262 of 9,886 by trust here, #2,478 by citations
• Artificial Intelligence — 29 citations into it
• Information Systems — 29 citations into it; #8,017 of 8,771 by trust here, #2,471 by citations
• Computer Vision and Pattern Recognition — 27 citations into it
• Hardware and Architecture — 13 citations into it
• Model Architectures — 11 citations into it
• Optimization & Training — 10 citations into it
• ML Systems & Hardware — 9 citations into it

Whom Abhishek Verma trusts overall

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

1. Leo Breiman
2. Radford M. Neal
3. Jaka Demsar
4. Jerome H. Friedman
5. Matei A. Zaharia
6. Brett D. Fleisch
7. Trevor J. Hastie
8. Kaiming He
9. Pierre Geurts
10. Adam Dunkels

Who trusts Abhishek Verma overall

1. Shivaram Venkataraman
2. Zongheng Yang
3. Betsy Beyer
4. Yanghua Peng
5. Rashid Mijumbi
6. Kshiteej S. Mahajan
7. M. Franklin
8. Chunqiang Tang
9. Myeongjae Jeon
10. Martín Abadi

Papers from Abhishek Verma's perspective

Ordered by how strongly the researchers Abhishek Verma 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. ImageNet: A large-scale hierarchical image database
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Going deeper with convolutions
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Machine Learning Based Intrusion Detection Systems for IoT Applications (2019) — 364 citations
• Compressed residual-VGG16 CNN model for big data places image recognition (2018) — 395 citations
• Large-scale cluster management at Google with Borg (2015) — 1,668 citations
• ARIA: automatic resource inference and allocation for mapreduce environments (2011) — 504 citations
• Inertia Weight strategies in Particle Swarm Optimization (2011) — 547 citations