Shane Halloran

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 10 citations into it; #8,098 of 21,575 by trust here, #12,419 by citations
• Biomedical Engineering — 5 citations into it

Whom Shane Halloran trusts overall

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

1. Geoffrey E. Hinton
2. Ronan Collobert
3. Attila Reiss
4. Nitish Srivastava
5. Nicholas Donald Lane
6. Alex Krizhevsky
7. Sepp Hochreiter
8. Klaus Greff
9. J. Urgen Schmidhuber
10. Yoshua Bengio

Who trusts Shane Halloran overall

1. Sreenivasan Ramasamy Ramamurthy
2. Yu Guan
3. Nidhi Dua
4. Kun Xia
5. Xiaochen Zheng
6. Song-Mi Lee
7. Florenc Demrozi
8. Attila Reiss
9. Riccardo Miotto
10. L. Dang

Papers from Shane Halloran's perspective

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

1. Long Short-Term Memory
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Dropout: a simple way to prevent neural networks from overfitting
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep, Convolutional, and Recurrent Models for Human Activity Recognition Using Wearables (2016) — 996 citations