Rodrigo Fonseca
Computer Networks and Communications · 2005–2020
A researcher in the Science corpus: 11 papers; trusts 84 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 110 citations into it; #7,738 of 9,886 by trust here, #1,593 by citations
- Artificial Intelligence — 78 citations into it
- Computer Vision and Pattern Recognition — 57 citations into it
- Information Systems — 35 citations into it
- Electrical and Electronic Engineering — 29 citations into it
- Neural Architecture Search & AutoML — 28 citations into it
- Model Architectures — 20 citations into it
- Optimization & Training — 18 citations into it
Whom Rodrigo Fonseca trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alec Woo
- David E. Culler
- Jason L. Hill
- Ramesh Govindan
- Alex Krizhevsky
- Frank Hutter
- Ion Stoica
- Geoffrey E. Hinton
- Sumit Rangwala
- James Newsome
Who trusts Rodrigo Fonseca overall
- Kannan Srinivasan
- Omprakash Gnawali
- Adam Dunkels
- Olfa Gaddour
- Karthik Nagaraj
- Prabal Dutta
- Wei Xu
- Sharad K. Agarwal
- Anis Koubaa
- Haoran Qiu
Papers from Rodrigo Fonseca's perspective
Ordered by how strongly the researchers Rodrigo Fonseca trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- HyperDrive: exploring hyperparameters with POP scheduling (2017) — 41 citations
- Planck (2014) — 2,118 citations
- Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider (2020) — 885 citations
- Sample-Efficient Neural Architecture Search by Learning Action Space (2019) — 48 citations
- Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search (2018) — 56 citations
- Participatory networking: an API for application control of SDNs (2013) — 302 citations
- Jockey: guaranteed job latency in data parallel clusters (2012) — 347 citations
- Collection tree protocol (2009) — 1,628 citations
- Four-Bit Wireless Link Estimation (2007) — 419 citations
- X-Trace: A Pervasive Network Tracing Framework (2007) — 621 citations
- Beacon vector routing: scalable point-to-point routing in wireless sensornets (2005) — 393 citations