Saket K. Sathe

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #23,806 of 35,345 by trust here, #21,316 by citations

Whom Saket K. Sathe trusts overall

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

1. Geoffrey E. Hinton
2. Vinod Nair
3. Aleksandar Lazarevic
4. Fabrizio Angiulli
5. Fabian Keller
6. Simon Hawkins
7. Nitish Srivastava
8. Mei-Ling Shyu

Who trusts Saket K. Sathe overall

1. Guansong Pang
2. Liron Bergman
3. Lukas Ruff
4. Xiaoyi Gu
5. Hongzuo Xu
6. Sepideh Esmaeilpour
7. Wenpeng Hu
8. David Charte

Papers from Saket K. Sathe's perspective

Ordered by how strongly the researchers Saket K. Sathe trusts endorse each paper. Same corpus, a different order for every researcher.

1. Rectified Linear Units Improve Restricted Boltzmann Machines
2. Dropout: a simple way to prevent neural networks from overfitting
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. LOF: identifying density-based local outliers
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Efficient algorithms for mining outliers from large data sets (ACM SIGMOD Conference)
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Outlier Detection with Autoencoder Ensembles (2017) — 455 citations