Noam Slonim

Molecular Biology · 2000–2019

A researcher in the Science corpus: 7 papers; trusts 31 researchers and is trusted by 45 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 25 citations into it; #13,766 of 17,773 by trust here, #11,019 by citations
• Artificial Intelligence — 15 citations into it; #4,302 of 35,345 by trust here, #9,760 by citations
• Information Theory — 15 citations into it
• Natural Language Processing — 13 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it
• Optimization & Training — 7 citations into it
• Electrical and Electronic Engineering — 6 citations into it
• Computer Networks and Communications — 5 citations into it

Whom Noam Slonim trusts overall

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

1. Naftali Tishby
2. Iroon Polytechniou
3. Nir Friedman
4. Jianhua Lin
5. Fernando C Pereira
6. Jorma Rissanen
7. William Bialek
8. A. U.S.
9. Peter F. Brown
10. Fabrizio Sebastiani

Who trusts Noam Slonim overall

1. Charu C. Aggarwal
2. Naftali Tishby
3. Nir Friedman
4. Ron Bekkerman
5. Yevgeny Seldin
6. Gayatree Ganu
7. Pavel Berkhin
8. Chengxiang Zhai
9. Gal Chechik
10. Li Chen

Papers from Noam Slonim's perspective

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

1. Information Theory: 1948-1998 - Guest Editorial
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Going deeper with convolutions
8. Learning Multiple Layers of Features from Tiny Images
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. The information bottleneck method

Their papers

• Multivariate Information Bottleneck (2001) — 227 citations
• Information-based clustering. (2005) — 239 citations
• A universal framework for regulatory element discovery across all genomes and data types. (2007) — 342 citations
• Corpus Wide Argument Mining - a Working Solution (2019) — 70 citations
• The Information Bottleneck : Theory and Applications (2006) — 220 citations
• Unsupervised document classification using sequential information maximization (2002) — 319 citations
• Document clustering using word clusters via the information bottleneck method (2000) — 554 citations