Harish Karnick

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #6,295 of 35,345 by trust here, #16,771 by citations
• Computer Vision and Pattern Recognition — 8 citations into it; #4,979 of 21,575 by trust here, #11,286 by citations
• Statistical Learning Theory — 7 citations into it; #322 of 1,038 by trust here, #569 by citations

Whom Harish Karnick trusts overall

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

1. Christopher K. I. Williams
2. Chih-Jen Lin
3. Ingo Steinwart
4. Ali Rahimi
5. Felipe Cucker
6. Sariel Har-Peled
7. Rong-En Fan
8. Sreekanth Vempati
9. Andrea Vedaldi
10. Andrew Zisserman

Who trusts Harish Karnick overall

1. Per-Gunnar Martinsson
2. Shu Kong
3. Ninh D. Pham
4. Haim Avron
5. Felix X. Yu
6. Jeffrey Pennington
7. Krikamol Muandet
8. Mingsheng Long
9. Xing Wei
10. Raffay Hamid

Papers from Harish Karnick's perspective

Ordered by how strongly the researchers Harish Karnick 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Random Feature Maps for Dot Product Kernels (2012) — 272 citations