firstbacksecondback
13 Results
|
Poster
|
Mon 9:00 |
Boosting with Abstention Corinna Cortes · Giulia DeSalvo · Mehryar Mohri |
|
|
Poster
|
Mon 9:00 |
On Regularizing Rademacher Observation Losses Richard Nock |
|
|
Poster
|
Tue 9:00 |
Residual Networks Behave Like Ensembles of Relatively Shallow Networks Andreas Veit · Michael J Wilber · Serge Belongie |
|
|
Poster
|
Tue 9:00 |
Optimal Binary Classifier Aggregation for General Losses Akshay Balsubramani · Yoav S Freund |
|
|
Poster
|
Mon 9:00 |
An urn model for majority voting in classification ensembles Victor Soto · Alberto Suárez · Gonzalo Martinez-Muñoz |
|
|
Poster
|
Mon 9:00 |
Deep Exploration via Bootstrapped DQN Ian Osband · Charles Blundell · Alexander Pritzel · Benjamin Van Roy |
|
|
Poster
|
Tue 9:00 |
Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition Shizhong Han · Zibo Meng · AHMED-SHEHAB KHAN · Yan Tong |
|
|
Poster
|
Wed 9:00 |
Structured Prediction Theory Based on Factor Graph Complexity Corinna Cortes · Vitaly Kuznetsov · Mehryar Mohri · Scott Yang |
|
|
Poster
|
Wed 9:00 |
Fast and Flexible Monotonic Functions with Ensembles of Lattices Mahdi Milani Fard · Kevin Canini · Andrew Cotter · Jan Pfeifer · Maya Gupta |
|
|
Poster
|
Wed 9:00 |
An ensemble diversity approach to supervised binary hashing Miguel A. Carreira-Perpinan · Ramin Raziperchikolaei |
|
|
Poster
|
Tue 9:00 |
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles Stefan Lee · Senthil Purushwalkam · Michael Cogswell · Viresh Ranjan · David Crandall · Dhruv Batra |
|
|
Poster
|
Wed 9:00 |
Large Margin Discriminant Dimensionality Reduction in Prediction Space Ehsan Saberian · Jose Costa Pereira · Nuno Nvasconcelos · Can Xu |