Koby Crammer

15.8k total citations · 5 hit papers
96 papers, 8.1k citations indexed

About

Koby Crammer is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Koby Crammer has authored 96 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 84 papers in Artificial Intelligence, 25 papers in Management Science and Operations Research and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Koby Crammer's work include Machine Learning and Algorithms (41 papers), Advanced Bandit Algorithms Research (23 papers) and Machine Learning and Data Classification (22 papers). Koby Crammer is often cited by papers focused on Machine Learning and Algorithms (41 papers), Advanced Bandit Algorithms Research (23 papers) and Machine Learning and Data Classification (22 papers). Koby Crammer collaborates with scholars based in Israel, United States and Canada. Koby Crammer's co-authors include Yoram Singer, Fernando Pereira, Alex Kulesza, John Blitzer, Jennifer Wortman Vaughan, Shai Ben-David, Mark Dredze, Joseph Keshet, Shai Shalev‐Shwartz and Ofer Dekel and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and BMC Bioinformatics.

In The Last Decade

Koby Crammer

93 papers receiving 7.6k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A theory of learning from different domains

2009 2.0k citations John Blitzer, Koby Crammer et al. profile →
On the algorithmic implementation of multiclass kernel-based vector machines

2002 1.2k citations Koby Crammer, Yoram Singer profile →
Online Passive-Aggressive Algorithms

2006 1.0k citations Koby Crammer, Ofer Dekel et al. profile →
Online large-margin training of dependency parsers

2005 555 citations Koby Crammer, Fernando Pereira et al. profile →
On the Learnability and Design of Output Codes for Multiclass Problems

2002 439 citations Koby Crammer, Yoram Singer profile →

Peers

Countries citing papers authored by Koby Crammer

Since Specialization

Citations

This map shows the geographic impact of Koby Crammer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Koby Crammer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Koby Crammer more than expected).

Fields of papers citing papers by Koby Crammer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koby Crammer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Koby Crammer. The network helps show where Koby Crammer may publish in the future.

Co-authorship network of co-authors of Koby Crammer

This figure shows the co-authorship network connecting the top 25 collaborators of Koby Crammer. A scholar is included among the top collaborators of Koby Crammer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Koby Crammer. Koby Crammer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	A Better Resource Allocation Algorithm with Semi-Bandit Feedback 2018 ·Yuval Dagan, Koby Crammer	0
2	Convex Multi-Task Learning by Clustering 2015 ·International Conference on Artificial Intelligence and Statistics ·(unknown), Koby Crammer	16
3	Concept Drift Detection Through Resampling 2014 ·International Conference on Machine Learning ·(unknown), Shie Mannor, Ran El‐Yaniv, Koby Crammer	50
4	Prediction with Limited Advice and Multiarmed Bandits with Paid Observations 2014 ·QUT ePrints (Queensland University of Technology) ·Yevgeny Seldin, Peter L. Bartlett, Koby Crammer, Yasin Abbasi-Yadkori	19
5	Multi class learning with individual sparsity 2013 ·International Joint Conference on Artificial Intelligence ·(unknown), Koby Crammer	1
6	Hartigan's K-means versus Lloyd's K-means: is it time for a change? 2013 ·International Joint Conference on Artificial Intelligence ·Noam Slonim, Ehud Aharoni, Koby Crammer	17
7	More Is Better: Large Scale Partially-supervised Sentiment Classication 2012 ·Asian Conference on Machine Learning ·(unknown), Koby Crammer, Shie Mannor	2
8	Adaptive Regularization for Similarity Measures. 2012 ·International Conference on Machine Learning ·Koby Crammer, Gal Chechik	2
9	Volume Regularization for Binary Classification 2012 ·Neural Information Processing Systems ·Koby Crammer, (unknown)	2
10	Training Dependency Parser Using Light Feedback 2012 ·North American Chapter of the Association for Computational Linguistics ·(unknown), Koby Crammer	1
11	Learning Multiple Tasks using Shared Hypotheses 2012 ·Neural Information Processing Systems ·Koby Crammer, Yishay Mansour	20
12	Metric Learning for Graph-Based Domain Adaptation 2012 ·ScholarlyCommons (University of Pennsylvania) ·Paramveer S. Dhillon, Partha Talukdar, Koby Crammer	4
13	Active online classification via information maximization 2011 ·International Joint Conference on Artificial Intelligence ·Noam Slonim, Elad Yom‐Tov, Koby Crammer	8
14	Confidence in Structured-Prediction Using Confidence-Weighted Models 2010 ·Empirical Methods in Natural Language Processing ·(unknown), Koby Crammer	16
15	Gaussian Margin Machines 2009 ·International Conference on Artificial Intelligence and Statistics ·Koby Crammer, Mehryar Mohri, Fernando Pereira	18
16	Learning Bounds for Domain Adaptation 2007 ·Neural Information Processing Systems ·John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer R. Wortman	215
17	Online Classification on a Budget 2003 ·Neural Information Processing Systems ·Koby Crammer, Jaz Kandola, Yoram Singer	94
18	Online Passive-Aggressive Algorithms 2003 ·Neural Information Processing Systems ·Shai Shalev‐Shwartz, Koby Crammer, Ofer Dekel, Yoram Singer	54
19	Kernel Design Using Boosting 2002 ·Neural Information Processing Systems ·Koby Crammer, Joseph Keshet, Yoram Singer	93
20	Improved Output Coding for Classification Using Continuous Relaxation 2000 ·Neural Information Processing Systems ·Koby Crammer, Yoram Singer	17

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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