Kaan Kara

Efficiency & Compression · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Efficiency & Compression — 26 citations into it; #1,120 of 1,264 by trust here, #804 by citations
• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 19 citations into it
• Optimization & Training — 13 citations into it; #2,435 of 2,601 by trust here, #1,385 by citations

Whom Kaan Kara trusts overall

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

1. Song Han
2. Daisuke Miyashita
3. Sébastien Bubeck

Who trusts Kaan Kara overall

1. Hanlin Tang
2. Sebastian U. Stich

Papers from Kaan Kara's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet: A large-scale hierarchical image database
4. Going deeper with convolutions
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning (2017) — 213 citations
• The ZipML Framework for Training Models with End-to-End Low Precision: The Cans, the Cannots, and a Little Bit of Deep Learning (2016) — 20 citations