Parimal Parag
Artificial Intelligence · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 30 citations into it; #26,926 of 35,345 by trust here, #25,809 by citations
- Computer Networks and Communications — 25 citations into it; #7,356 of 9,886 by trust here, #7,492 by citations
- ML Systems & Hardware — 12 citations into it
- Computational Theory and Mathematics — 11 citations into it
- Privacy & Security — 9 citations into it
- Information Systems — 7 citations into it; #6,355 of 8,771 by trust here, #6,770 by citations
Whom Parimal Parag trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Muthu Dayalan
- Johannes Blömer
- Qian Yu
- Rawad Bitar
- Mikhail J. Atallah
- Swanand Ravindra Kadhe
- Kangwook Lee
- Jakub Konecný
- Mohammad Ali Maddah-Ali
- Wentao Huang
Who trusts Parimal Parag overall
Papers from Parimal Parag's perspective
Ordered by how strongly the researchers Parimal Parag trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Improving MapReduce Performance in Heterogeneous Environments
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Gradient Coding
- ImageNet: A large-scale hierarchical image database
- Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding
- Privacy-Preserving Ridge Regression on Hundreds of Millions of Records
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
Their papers
- Minimizing Latency for Secure Coded Computing Using Secret Sharing via Staircase Codes (2018) — 53 citations
- Minimizing latency for secure distributed computing (2017) — 78 citations