Sally A. Goldman

Statistical Learning Theory · 1991–2008

A researcher in the Science corpus: 7 papers; trusts 25 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

• Statistical Learning Theory — 10 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it; #11,477 of 21,575 by trust here, #11,498 by citations
• Evaluation & Benchmarks — 6 citations into it
• Artificial Intelligence — 5 citations into it; #7,420 of 35,345 by trust here, #23,077 by citations

Whom Sally A. Goldman trusts overall

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

1. Arthur P. Dempster
2. Leslie G. Valiant
3. Soumya Ray
4. Vladimir Naumovich Vapnik
5. Oded Maron
6. Thomas G. Dietterich
7. Tomas Lozano-Perez
8. Nan M. Laird
9. Kamal Nigam
10. David Page

Who trusts Sally A. Goldman overall

1. Zhi-Hua Zhou
2. Frank J. Balbach
3. Xiaojin Zhu
4. Boris Babenko
5. Min-Ling Zhang
6. James R. Foulds
7. Mohamed Farouk Abdel Hady
8. Steve Hanneke
9. Colin de la Higuera
10. Jaume Amores

Papers from Sally A. Goldman's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Solving the Multiple Instance Problem with Axis-Parallel Rectangles

Their papers

• Democratic co-learning (2004) — 230 citations
• Multiple-Instance Learning of Real-Valued Data (2001) — 162 citations
• Image segmentation evaluation: A survey of unsupervised methods (2008) — 1,104 citations
• EM-DD: An Improved Multiple-Instance Learning Technique (2001) — 761 citations
• Enhancing Supervised Learning with Unlabeled Data (2000) — 568 citations
• Teaching a Smarter Learner (1996)
• On the complexity of teaching (1991)