Ramakrishnan Kannan

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 12 citations into it
• Computational Mechanics — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Signal Processing — 9 citations into it

Whom Ramakrishnan Kannan trusts overall

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

1. Andrzej S. Cichocki
2. Jingu Kim
3. Chih-Jen Lin
4. Haesun Park
5. Chris H. Q. Ding
6. Hyunsoo Kim
7. Luigi Grippo
8. Aleksandar Lazarevic
9. Éric Gaussier
10. Ajit Paul Singh

Papers from Ramakrishnan Kannan's perspective

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

1. Gradient-based learning applied to document recognition
2. ImageNet classification with deep convolutional neural networks
3. Learning the parts of objects by non-negative matrix factorization
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Regression Shrinkage and Selection via the Lasso
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Outlier Detection for Text Data (2017) — 50 citations