Who Cited It

Model compression

2006 · 2,118 citations · 8 from inside this corpus

Cristian Buciluǎ low, Rich Caruana, Alexandru Niculescu-Mizil

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Model compression (2006)Model compressionRandom Forests (2001)Random ForestsBagging Predictors (1996)Bagging PredictorsDensity Estimation for Statistics and Data Analysis (2018)Density Estimation for Statis…Advances in neural information processing systems 7 (1996)Advances in neural informatio…UCI Repository of machine learning databases (1998)UCI Repository of machine lea…Stacked generalization (1992)Stacked generalizationMaking Large-Scale SVM Learning Practical (2006)Making Large-Scale SVM Learni…The Boosting Approach to Machine Learning: An Overview (2003)The Boosting Approach to Mach…Distilling the Knowledge in a Neural Network (2015)Distilling the Knowledge in a…Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe… (2019)Explainable Artificial Intell…On the Dangers of Stochastic Parrots (2021)On the Dangers of Stochastic …Active Learning Literature Survey (2009)Active Learning Literature Su…Ensemble learning: A survey (2018)Ensemble learning: A surveyRelational Knowledge Distillation (2019)Relational Knowledge Distilla…Pre-trained models for natural language processing: A survey (2020)Pre-trained models for natura…Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversaria… (2016)Transferability in Machine Le…
16 of 16 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
this paper works it cites works citing it node size = global citations · hover for the full title

What this paper cites, inside the corpus

PaperYearCited
Random Forests2001131,109
Bagging Predictors199617,191
Density Estimation for Statistics and Data Analysis201816,034
Advances in neural information processing systems 7199614,393
UCI Repository of machine learning databases199810,546
Stacked generalization19927,777
Making Large-Scale SVM Learning Practical20064,326
The Boosting Approach to Machine Learning: An Overview20032,023

What cites it, inside the corpus

PaperYearCited
Distilling the Knowledge in a Neural Network201514,099
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…20199,796
On the Dangers of Stochastic Parrots20216,426
Active Learning Literature Survey20094,788
Ensemble learning: A survey20183,088
Relational Knowledge Distillation20191,669
Pre-trained models for natural language processing: A survey20201,521
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversaria…20161,416

Links

DOI · OpenAlex record

Topics

Machine Learning and Data ClassificationComputer Science
Machine Learning and AlgorithmsComputer Science
Gaussian Processes and Bayesian InferenceComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports3 author record(s) attached.
  • supports26 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:51+00:00.

sha256 6e314d9c6052d1ed…