Tony Vladusich

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 57 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Artificial Intelligence — 11 citations into it; #24,318 of 35,345 by trust here, #31,361 by citations

Whom Tony Vladusich trusts overall

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

1. Yann LeCun
2. Alex Krizhevsky
3. Pierre Sermanet
4. Chris Eliasmith
5. Geoffrey E. Hinton
6. G. Huang
7. Adam Coates
8. Andrew Y. Ng
9. Yoshua Bengio
10. Dong Yu

Who trusts Tony Vladusich overall

1. Sebastien C. Wong
2. Yu Cheng

Papers from Tony Vladusich's perspective

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

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

Their papers

• Enhanced image classification with a fast-learning shallow convolutional neural network (2015) — 85 citations