📰 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.

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 ↗Yoshua Bengio, Jérôme Louradour, Ronan Collobert et al.5,002 citations
2. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations ↗Honglak Lee, Roger Grosse, Rajesh Ranganath et al.2,379 citations
3. Online dictionary learning for sparse coding ↗Julien Mairal, Francis Bach, Jean Ponce et al.2,114 citations
4. Information theoretic measures for clusterings comparison ↗Nguyễn Xuân Vinh, Julien Epps, James Bailey938 citations
5. Feature hashing for large scale multitask learning ↗Kilian Q. Weinberger, Anirban Dasgupta, John C. Langford et al.906 citations
6. Evaluation methods for topic models ↗Hanna Wallach, Iain Murray, Ruslan Salakhutdinov et al.863 citations
7. Group lasso with overlap and graph lasso ↗Laurent Jacob, Guillaume Obozinski, Jean‐Philippe Vert833 citations
8. Multi-view clustering via canonical correlation analysis ↗Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu et al.786 citations
9. Large-scale deep unsupervised learning using graphics processors ↗Rajat Raina, Anand Madhavan, Andrew Ng731 citations
10. Learning structural SVMs with latent variables ↗Chun-Nam John Yu, Thorsten Joachims610 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 ↗Yoshua Bengio, Jérôme Louradour, Ronan Collobert et al.5,002 citations
2. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations ↗Honglak Lee, Roger Grosse, Rajesh Ranganath et al.2,379 citations
3. Online dictionary learning for sparse coding ↗Julien Mairal, Francis Bach, Jean Ponce et al.2,114 citations
4. Information theoretic measures for clusterings comparison ↗Nguyễn Xuân Vinh, Julien Epps, James Bailey938 citations
5. Feature hashing for large scale multitask learning ↗Kilian Q. Weinberger, Anirban Dasgupta, John C. Langford et al.906 citations
6. Evaluation methods for topic models ↗Hanna Wallach, Iain Murray, Ruslan Salakhutdinov et al.863 citations
7. Group lasso with overlap and graph lasso ↗Laurent Jacob, Guillaume Obozinski, Jean‐Philippe Vert833 citations
8. Multi-view clustering via canonical correlation analysis ↗Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu et al.786 citations
9. Large-scale deep unsupervised learning using graphics processors ↗Rajat Raina, Anand Madhavan, Andrew Ng731 citations
10. Learning structural SVMs with latent variables ↗Chun-Nam John Yu, Thorsten Joachims610 citations
11. An accelerated gradient method for trace norm minimization ↗Shuiwang Ji, Jieping Ye517 citations
12. Identifying suspicious URLs ↗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 ↗Richard S. Sutton, Hamid Reza Maei, Doina Precup et al.496 citations
14. Incorporating domain knowledge into topic modeling via Dirichlet Forest priors ↗David Andrzejewski, Xiaojin Zhu, Mark W. Craven420 citations
15. More generality in efficient multiple kernel learning ↗Manik Varma, Bodla Rakesh Babu398 citations
16. Multi-instance learning by treating instances as non-I.I.D. samples ↗Zhi‐Hua Zhou, Yuyin Sun, Yu-Feng Li396 citations
17. Herding dynamical weights to learn ↗Max Welling383 citations
18. Factored conditional restricted Boltzmann Machines for modeling motion style ↗Graham W. Taylor, Geoffrey E. Hinton358 citations
19. Transfer learning for collaborative filtering via a rating-matrix generative model ↗Bin Li, Qiang Yang, Xiangyang Xue340 citations
20. Supervised learning from multiple experts ↗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 ↗Wei Jin, Hung Hay Ho325 citations
22. Deep learning from temporal coherence in video ↗Hossein Mobahi, Ronan Collobert, Jason Weston323 citations
23. Graph construction and b -matching for semi-supervised learning ↗Tony Jebara, Jun Wang, Shih‐Fu Chang320 citations
24. Robot trajectory optimization using approximate inference ↗Marc Toussaint316 citations
25. Stochastic methods for l 1 regularized loss minimization ↗Shai Shalev‐Shwartz, Ambuj Tewari298 citations

See all 182 papers in ICML 2009 — accepted papers →

📄 Papers with our summary in our library (1)

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

1. Curriculum LearningYoshua Bengio, Jérôme Louradour, Ronan Collobert, et al.2009 · 724 citations

📚 Fields

🖥️Computer Science (1)

🧑‍🔬 Top authors

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

works and citations from OpenAlex and our library.

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