Skirmantas Kligys

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it; #9,006 of 21,575 by trust here, #3,875 by citations
• Artificial Intelligence — 16 citations into it
• Model Architectures — 6 citations into it

Whom Skirmantas Kligys trusts overall

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

1. Christian Szegedy
2. Alex Krizhevsky
3. Kaiming He
4. Sergey Ioffe
5. Geoffrey E. Hinton
6. Ilya Sutskever
7. Yoshua Bengio
8. Sanjiv Kumar
9. Jia Deng
10. Karen Simonyan

Who trusts Skirmantas Kligys overall

1. Markus Nagel
2. Zhen Dong
3. Ji Lin
4. Young Geun Kim
5. Gaurav Menghani
6. Marcel Keller
7. Raghuraman Krishnamoorthi
8. Jeff Johnson
9. Sara Hooker
10. Zi-Mei Yao

Papers from Skirmantas Kligys's perspective

Ordered by how strongly the researchers Skirmantas Kligys 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference (2017) — 4,475 citations