Margo I. Seltzer
Artificial Intelligence · 2006–2020
A researcher in the Science corpus: 10 papers; trusts 57 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 93 citations into it; #7,191 of 35,345 by trust here, #8,810 by citations
- Information Systems — 47 citations into it; #1,139 of 8,771 by trust here, #1,189 by citations
- Statistical Learning Theory — 43 citations into it
- Algorithms & Complexity — 39 citations into it; #504 of 516 by trust here, #380 by citations
- Computer Networks and Communications — 39 citations into it
- Computational Theory and Mathematics — 25 citations into it; #1,879 of 12,182 by trust here, #1,352 by citations
- Signal Processing — 21 citations into it
- Safety, Robustness & Interpretability — 20 citations into it; #920 of 2,251 by trust here, #1,205 by citations
Whom Margo I. Seltzer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Rudin
- J. Ross Quinlan
- Niko Speybroeck
- Benjamin Letham
- William W. Cohen
- Nicholas Larus-Stone
- Hugh A. Chipman
- Steven L. Salzberg
- Ryszard S. Michalski
- Christophe G. Giraud-Carrier
Who trusts Margo I. Seltzer overall
- Cynthia Rudin
- Emir Demirovi'c
- Tong Wang
- Alexey Ignatiev
- Vinícius G. Costa
- Xiyang Hu
- Danqing Pan
- Jinqiang Yu
- Nicholas Larus-Stone
- Elaine Angelino
Papers from Margo I. Seltzer's perspective
Ordered by how strongly the researchers Margo I. Seltzer trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- GENERATIVE ADVERSARIAL NETS
Their papers
- Scalable Bayesian Rule Lists (2016) — 232 citations
- Learning Certifiably Optimal Rule Lists (2017) — 201 citations
- Generalized and Scalable Optimal Sparse Decision Trees (2020) — 178 citations
- UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats (2020) — 443 citations
- Generalized Optimal Sparse Decision Trees (2020) — 5 citations
- Optimal Sparse Decision Trees (2019) — 204 citations
- Systems Optimizations for Learning Certifiably Optimal Rule Lists (2018)
- Network Coordinates in the Wild (2007) — 303 citations
- Provenance-Aware Storage Systems (2006) — 700 citations
- Network-Aware Operator Placement for Stream-Processing Systems (2006) — 505 citations