NIPS 2011 Awards

Sponsored by Machine Learning Journal

Every year, NIPS selects a small number of papers to receive the Best Student Paper Award. The goal of this award is to promote excellence in student research, and to acknowledge some of the most outstanding work published at NIPS.

For a paper to be eligible, at least fifty percent of the research reported in the paper must be performed by one or more student authors, and the student must agree to present the paper at the Conference. The awards are selected by a subcommittee of the program committee shortly before the Conference. The selection is based on the quality, originality, and clarity of the submission and its expected future impact. A list of winners in previous years follows:

Outstanding Student Paper Awards

Philipp Krähenbühl and Vladlen Koltun
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials

Ardavan Saeedi and Alexandre Bouchard-Côte
Priors Over Recurrent Continuous Time Processes

Michael Shindler, Alex Wong, and Adam Meyerson
Fast and Accurate K-means for Large Datasets

Honorable Mentions:

Zhen James Xiang, Hao Xu, and Peter Ramadge
Learning sparse representations of High dimensional data on large scale dictionaries

Salah Rifai, Yann Dauphin, Pascal Vincent, Yoshua Bengio, and Xavier Muller
The Manifold Tangent Classifier