Edo Liberty
Artificial Intelligence · 2007–2014
A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 42 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 19 citations into it; #5,080 of 35,345 by trust here, #21,316 by citations
- Computational Mechanics — 11 citations into it; #905 of 10,001 by trust here, #2,361 by citations
- Computational Theory and Mathematics — 9 citations into it
- Computer Networks and Communications — 7 citations into it
- Signal Processing — 7 citations into it; #6,043 of 7,572 by trust here, #7,324 by citations
- Computer Vision and Pattern Recognition — 5 citations into it; #17,023 of 21,575 by trust here, #21,103 by citations
Whom Edo Liberty trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Petros Drineas
- Adam Meyerson
- Dimitris Achlioptas
- Michael W. Mahoney
- Moses Charikar
- Kilian Q. Weinberger
- Roman Vershynin
- Tamás Sarlós
- Adam Coates
- Santosh Srinivas Vempala
Who trusts Edo Liberty overall
- Cong Leng
- Christos Boutsidis
- Prateek Jain
- Majid Jahani
- Jundong Li
- Bimal Viswanath
- David P. Woodruff
- Jiaxiang Wu
- Michael W. Mahoney
- Tyler L. Hayes
Papers from Edo Liberty's perspective
Ordered by how strongly the researchers Edo Liberty trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- An Algorithm for Online K-Means Clustering (2014) — 109 citations
- Annual Conference Computational Learning Theory: Preface (2012) — 439 citations
- Simple and deterministic matrix sketching (2012) — 326 citations
- Randomized algorithms for the low-rank approximation of matrices (2007) — 596 citations