Will Neveitt

Optimization & Training · 2010–2011

A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 7 citations into it; #1,221 of 2,601 by trust here, #1,248 by citations
• Natural Language Processing — 6 citations into it

Whom Will Neveitt trusts overall

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

1. L. Eon Bottou
2. Andreas Stolcke
3. James Martens
4. Jorge Nocedal
5. Tom Minka
6. Slava M. Katz
7. Roger Fletcher
8. Robert Malouf
9. Stanley F. Chen
10. Dong C. Liu

Who trusts Will Neveitt overall

1. Murat A. Erdogdu
2. Albert S. Berahas
3. Farbod Roosta-Khorasani
4. Raghu Bollapragada
5. James Martens
6. Ritesh Kolte

Papers from Will Neveitt's perspective

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

1. Deep learning via Hessian-free optimization
2. A Stochastic Approximation Method
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Shallow Parsing with Conditional Random Fields
8. Gradient-based learning applied to document recognition
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. An Empirical Study of Smoothing Techniques for Language Modeling

Their papers

• On the Use of Stochastic Hessian Information in Optimization Methods for Machine Learning (2011) — 288 citations
• Study on interaction between entropy pruning and kneser-ney smoothing (2010) — 44 citations