---
title: "ICML 2009 — accepted papers — Elamur Research"
description: "ICML 2009 — accepted papers: 1 paper in the Elamur Research library, with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2009/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2009/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [ICML](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/) / 2009

# ICML 2009 — accepted papers

ICML 2009 is the 2009 edition of the International Conference on Machine Learning (ICML). OpenAlex lists 182 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

[**182** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2009/#works) · [**724** citations of these works](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2009/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[Curriculum learning ↗](https://doi.org/10.1145/1553374.1553380)**Yoshua Bengio, Jérôme Louradour, Ronan Collobert et al.*5,002 citations*
2. **[Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations ↗](https://doi.org/10.1145/1553374.1553453)**Honglak Lee, Roger Grosse, Rajesh Ranganath et al.*2,379 citations*
3. **[Online dictionary learning for sparse coding ↗](https://doi.org/10.1145/1553374.1553463)**Julien Mairal, Francis Bach, Jean Ponce et al.*2,114 citations*
4. **[Information theoretic measures for clusterings comparison ↗](https://doi.org/10.1145/1553374.1553511)**Nguyễn Xuân Vinh, Julien Epps, James Bailey*938 citations*
5. **[Feature hashing for large scale multitask learning ↗](https://doi.org/10.1145/1553374.1553516)**Kilian Q. Weinberger, Anirban Dasgupta, John C. Langford et al.*906 citations*
6. **[Evaluation methods for topic models ↗](https://doi.org/10.1145/1553374.1553515)**Hanna Wallach, Iain Murray, Ruslan Salakhutdinov et al.*863 citations*
7. **[Group lasso with overlap and graph lasso ↗](https://doi.org/10.1145/1553374.1553431)**Laurent Jacob, Guillaume Obozinski, Jean‐Philippe Vert*833 citations*
8. **[Multi-view clustering via canonical correlation analysis ↗](https://doi.org/10.1145/1553374.1553391)**Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu et al.*786 citations*
9. **[Large-scale deep unsupervised learning using graphics processors ↗](https://doi.org/10.1145/1553374.1553486)**Rajat Raina, Anand Madhavan, Andrew Ng*731 citations*
10. **[Learning structural SVMs with latent variables ↗](https://doi.org/10.1145/1553374.1553523)**Chun-Nam John Yu, Thorsten Joachims*610 citations*

## All accepted papers (182)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[Curriculum learning ↗](https://doi.org/10.1145/1553374.1553380)**Yoshua Bengio, Jérôme Louradour, Ronan Collobert et al.*5,002 citations*
2. **[Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations ↗](https://doi.org/10.1145/1553374.1553453)**Honglak Lee, Roger Grosse, Rajesh Ranganath et al.*2,379 citations*
3. **[Online dictionary learning for sparse coding ↗](https://doi.org/10.1145/1553374.1553463)**Julien Mairal, Francis Bach, Jean Ponce et al.*2,114 citations*
4. **[Information theoretic measures for clusterings comparison ↗](https://doi.org/10.1145/1553374.1553511)**Nguyễn Xuân Vinh, Julien Epps, James Bailey*938 citations*
5. **[Feature hashing for large scale multitask learning ↗](https://doi.org/10.1145/1553374.1553516)**Kilian Q. Weinberger, Anirban Dasgupta, John C. Langford et al.*906 citations*
6. **[Evaluation methods for topic models ↗](https://doi.org/10.1145/1553374.1553515)**Hanna Wallach, Iain Murray, Ruslan Salakhutdinov et al.*863 citations*
7. **[Group lasso with overlap and graph lasso ↗](https://doi.org/10.1145/1553374.1553431)**Laurent Jacob, Guillaume Obozinski, Jean‐Philippe Vert*833 citations*
8. **[Multi-view clustering via canonical correlation analysis ↗](https://doi.org/10.1145/1553374.1553391)**Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu et al.*786 citations*
9. **[Large-scale deep unsupervised learning using graphics processors ↗](https://doi.org/10.1145/1553374.1553486)**Rajat Raina, Anand Madhavan, Andrew Ng*731 citations*
10. **[Learning structural SVMs with latent variables ↗](https://doi.org/10.1145/1553374.1553523)**Chun-Nam John Yu, Thorsten Joachims*610 citations*
11. **[An accelerated gradient method for trace norm minimization ↗](https://doi.org/10.1145/1553374.1553434)**Shuiwang Ji, Jieping Ye*517 citations*
12. **[Identifying suspicious URLs ↗](https://doi.org/10.1145/1553374.1553462)**Justin H. Ma, Lawrence K. Saul, Stefan Savage et al.*498 citations*
13. **[Fast gradient-descent methods for temporal-difference learning with linear function approximation ↗](https://doi.org/10.1145/1553374.1553501)**Richard S. Sutton, Hamid Reza Maei, Doina Precup et al.*496 citations*
14. **[Incorporating domain knowledge into topic modeling via Dirichlet Forest priors ↗](https://doi.org/10.1145/1553374.1553378)**David Andrzejewski, Xiaojin Zhu, Mark W. Craven*420 citations*
15. **[More generality in efficient multiple kernel learning ↗](https://doi.org/10.1145/1553374.1553510)**Manik Varma, Bodla Rakesh Babu*398 citations*
16. **[Multi-instance learning by treating instances as non-I.I.D. samples ↗](https://doi.org/10.1145/1553374.1553534)**Zhi‐Hua Zhou, Yuyin Sun, Yu-Feng Li*396 citations*
17. **[Herding dynamical weights to learn ↗](https://doi.org/10.1145/1553374.1553517)**Max Welling*383 citations*
18. **[Factored conditional restricted Boltzmann Machines for modeling motion style ↗](https://doi.org/10.1145/1553374.1553505)**Graham W. Taylor, Geoffrey E. Hinton*358 citations*
19. **[Transfer learning for collaborative filtering via a rating-matrix generative model ↗](https://doi.org/10.1145/1553374.1553454)**Bin Li, Qiang Yang, Xiangyang Xue*340 citations*
20. **[Supervised learning from multiple experts ↗](https://doi.org/10.1145/1553374.1553488)**Vikas Chandrakant Raykar, Shipeng Yu, Linda H. Zhao et al.*333 citations*
21. **[Retracted December 5, 2011: A novel lexicalized HMM-based learning framework for web opinion mining ↗](https://doi.org/10.1145/1553374.1553435)**Wei Jin, Hung Hay Ho*325 citations*
22. **[Deep learning from temporal coherence in video ↗](https://doi.org/10.1145/1553374.1553469)**Hossein Mobahi, Ronan Collobert, Jason Weston*323 citations*
23. **[Graph construction and b -matching for semi-supervised learning ↗](https://doi.org/10.1145/1553374.1553432)**Tony Jebara, Jun Wang, Shih‐Fu Chang*320 citations*
24. **[Robot trajectory optimization using approximate inference ↗](https://doi.org/10.1145/1553374.1553508)**Marc Toussaint*316 citations*
25. **[Stochastic methods for l 1 regularized loss minimization ↗](https://doi.org/10.1145/1553374.1553493)**Shai Shalev‐Shwartz, Ambuj Tewari*298 citations*

[See all 182 papers in ICML 2009 — accepted papers →](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2009/papers/)

## Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. [**Curriculum Learning**Yoshua Bengio, Jérôme Louradour, Ronan Collobert, et al.*2009 · 724 citations*](https://md.research.elamur.ai/free/en/papers/bengio-2009-curriculum-learning/)

## Fields

[Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Jason Weston**1 work here · 724 citations](https://md.research.elamur.ai/free/en/authors/jason-weston/) · [🧑‍🔬**Jérôme Louradour**1 work here · 724 citations](https://md.research.elamur.ai/free/en/authors/jerome-louradour/) · [🧑‍🔬**Ronan Collobert**1 work here · 724 citations](https://md.research.elamur.ai/free/en/authors/ronan-collobert/) · [🧑‍🔬**Yoshua Bengio**1 work here · 724 citations](https://md.research.elamur.ai/free/en/authors/yoshua-bengio/)

works and citations from OpenAlex and our library.

- [← previous ICML 2006](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2006/)
- [next → ICML 2019](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/2019/)
- [↑ back to ICML](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/)