Michael Nett
Computer Vision and Pattern Recognition · 2015
A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 11 citations into it; #15,021 of 21,575 by trust here, #19,766 by citations
- Signal Processing — 11 citations into it; #5,000 of 7,572 by trust here, #6,591 by citations
- Information Retrieval & Search — 8 citations into it; #713 of 1,022 by trust here, #939 by citations
- Artificial Intelligence — 5 citations into it; #21,961 of 35,345 by trust here, #24,417 by citations
Whom Michael Nett trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gonzalo Navarro
- William W. Pugh
- Nong Ye
- Sunil Arya
- Marius Muja
- Robert Krauthgamer
- Yann LeCun
- Piotr Indyk
- Sariel Har-Peled
- Aristides Gionis
Who trusts Michael Nett overall
Papers from Michael Nett's perspective
Ordered by how strongly the researchers Michael Nett 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- Rank-Based Similarity Search: Reducing the Dimensional Dependence (2015) — 66 citations
- Estimating Local Intrinsic Dimensionality (2015) — 168 citations