POSTER SESSION A: Wednesday April 4, 19:00
| 164 | Greedy structured dictionaries for fast sparse coding. Y-Lan Boureau and Jean Ponce and Yann LeCun |
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| 160 | Intelligible Models for Classification and Regression Rich Caruna, Yin Lou, Johannes Gehrke |
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| 159 | Bayesian Diffusion Decision Model for Adaptive k-Nearest Neighbor Classification Y.K. Noh and F.C. Park and D.D. Lee |
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| 155 | Discriminative Learning of Sum-Product Networks Robert Gens and Pedro Domingos |
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| 151 | Higher-order Spike-and-Slab Boltzmann Machines for Disentangling Factors of Variation Aaron Courville and Guillaume Desjardins and Ian Goodfellow and Yoshua Bengio |
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| 150 | Learn to Write Popular Novels Yuandong Tian |
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| 145 | 2D similarity kernels and representations for sequence data Pavel P. Kuksa |
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| 143 | Decoupling the Data Geometry from the Parameter Geometry for Stochastic Gradients Tom Schaul and Sixin Zhang and Yann LeCun |
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| 141 | Fast Approximate Nearest Neighbor Search Amit Goyal and Hal Daume III |
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| 132 | Loss functions for multi class learning and the geometry of the label space Youssef Mroueh and Tomaso Poggio and Lorenzo Rosasco and Jean-Jacques E. Slotine |
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| 131 | A Robust Local Linear Data Decomposition Brendt Wohlberg and Rick Chartrand, and James Theiler |
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| 129 | Sparsifying activation functions Hélène Paugam-Moisy and Sébastien Rebecchi |
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| 124 | Name-Ethnicity Classfication with Multinomial Logistic Regression Pucktada Treeratpituk and C. Lee Giles |
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| 119 | Global Climate Model Tracking using Geospatial Neighborhoods Scott McQuade and Claire Monteleoni |
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| 115 | Text-to-Speech Synthesis for Whispered Speech Liliya I. Tsirulnik, Valery A. Petrushin and Veronika Makarova |
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| 113 | Survival Analysis for Marketing Jeong-Yoon Lee, Hang Zhang, and Valery A. Petrushin |
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| 110 | Randomized Feature Generation for Markov Network Structure Learning Jan Van Haaren and Jesse Davis |
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| 107 | Information Forests Zhao Yi, Stefano Soatto |
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| 105 | Transparent profile HMMs Luis M. S. Russo and Ana T. Freitas and Arlindo L. Oliveira |
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| 103 | Adaptive Ensemble of Classifiers Cesare Alippi and Giacomo Boracchi and Manuel Roveri |
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POSTER SESSION B: Thursday April 5, 19:00
| 162 | Discriminative Adaptation of Codebooks for Large-Scale Video Retrieval with Varying Content Queries Sangmin Oh and Amitha Perera and Anthony Hoogs |
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| 157 | Annotation Concept Synthesis and Enrichment Analysis Mikhail Jiline and Stan Matwin and Marcel Turcotte |
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| 154 | Towards Locating Objects in Video via Video-Level Tags Matthias Grundmann and Glenn Hartmann and Vivek Kwatra and Omid Madani and Rahul Sukthankar |
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| 152 | Obtaining High Precision and Confidence via Combining Classifiers Trained on Independent Features Omid Madani and Manfred Georg and David A. Ross |
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| 148 | Using string kernels to predict gene expression Pavel P. Kuksa |
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| 140 | Inferring Tasks for Improved Network Structure Discovery Diane Oyen and Eric Eaton and Terran Lane |
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| 139 | Image analysis as a regression problem Eric Matzner-Lober and Nicolas Hengartner and Benoit Thieurmel and Brendt Wohlberg |
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| 136 | A Statistical Method for Learning the Residual Quickly, Accurately, and Language Independently Anni Coden and Daniel Gruhl and Neal Lewis and Michael Tanenblatt |
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| 135 | Exchange Rate Forecasting with Ensemble K-PLS and Ensemble Neural Networks: A case study for the Indian Rupee/US Dollar Mark J. Embrechts and Christopher J. Gatti and Jonathan Linton |
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| 134 | APRIL: Active Preference-based Reinforcement Learning Riad Akrour and Marc Schoenauer and Michele Sebag |
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| 130 | An Improved Clustering Algorithm Talya Meltzer and Jonathan S. Yedidia |
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| 128 | Computational Sensing and Characterization of Microglial Cell Responses to Implanted Microfabricated Neuroprosthetic Devices James Blondin and William Shain and Amit Mukherjee and Zachary Galbreath and Jonathan Luisi and Christopher Gatti and Karen L. Smith and Kristin P. Bennett and Mark Embrechts and Badrinath Roysam |
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| 125 | Preserving Proximity Relations and Minimizing Edge-crossings in Graph Embeddings Amina Shabbeer and Kristin P. Bennett |
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| 123 | Using a Solid State Physics Collaboratory and Machine Learning in order to Rapidly Accelerate the Time to New Materials Discovery W. J. Brouwer and J.O. Sofo and J, Kubicki and C.L. Giles |
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| 118 | Learning Nonlinear Functions Using Regularized Greedy Forest Rie Johnson and Tong Zhang |
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| 114 | Bayesian learning: engineered versus social networks K. Drakopoulos and A. Ozdaglar and J. N. Tsitsiklis |
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| 104 | Online Clustering With Experts Anna Choromanska and Claire Monteleoni |
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| 101 | Convolutional Networks Applied to House Numbers Digit Classification Pierre Sermanet, Soumith Chintala and Yann LeCun |
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