David A. Cohn

Probabilistic & Bayesian Methods · 1994–2003

A researcher in the Science corpus: 7 papers; trusts 23 researchers and is trusted by 110 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 12 citations into it
• Natural Language Processing — 10 citations into it
• Statistical Learning Theory — 6 citations into it; #126 of 1,038 by trust here, #78 by citations

Whom David A. Cohn trusts overall

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

1. Jon M. Kleinberg
2. Arthur P. Dempster
3. David John Cameron MacKay
4. Thomas Hofmann
5. Hirotugu Akaike
6. Leslie G. Valiant
7. Sanford Weisberg
8. Timur Ash
9. Eric B. Baum
10. Daniel D. Lee

Who trusts David A. Cohn overall

1. Burr Settles
2. Prem Melville
3. Charu C. Aggarwal
4. Sanjoy Dasgupta
5. Maria-Florina Balcan
6. Pierre-Yves Oudeyer
7. Gökhan Tür
8. Raymond J. Mooney
9. Steve Hanneke
10. Ran El-Yaniv

Papers from David A. Cohn's perspective

Ordered by how strongly the researchers David A. Cohn 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. Gradient-based learning applied to document 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. Going deeper with convolutions
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Bridging the lexical chasm: statistical approaches to answer-finding (2000) — 361 citations
• Semi-Supervised Clustering with User Feedback (2003) — 305 citations
• Learning to Probabilistically Identify Authoritative Documents (2000) — 298 citations
• The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity (2000) — 525 citations
• Less is More: Active Learning with Support Vector Machines (2000) — 989 citations
• Active Learning with Statistical Models (1996)
• Improving Generalization with Active Learning (1994)