Tyler M. O'Neil

Artificial Intelligence · 2012

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #12,784 of 35,345 by trust here, #12,387 by citations
• Signal Processing — 9 citations into it; #2,408 of 7,572 by trust here, #1,748 by citations
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Tyler M. O'Neil trusts overall

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

1. Yoshua Bengio
2. Quoc V. Le
3. Geoffrey E. Hinton
4. Daniel Povey
5. Yann LeCun
6. Oriol Vinyals
7. Xavier Glorot
8. Alex Krizhevsky
9. Andrew Y. Ng
10. Honglak Lee

Who trusts Tyler M. O'Neil overall

1. Li Deng
2. Arun Narayanan
3. Yajie Miao
4. Herman Kamper
5. Zachary Chase Lipton
6. Jinyu Li
7. Jean-Marc Valin
8. Bo Li
9. Karen Livescu
10. Shane Settle

Papers from Tyler M. O'Neil's perspective

Ordered by how strongly the researchers Tyler M. O'Neil 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Recurrent Neural Networks for Noise Reduction in Robust ASR (2012) — 354 citations
• Word-level Acoustic Modeling with Convolutional Vector Regression (2012)