Skip to yearly menu bar Skip to main content


(7 events)   Timezone:  
Show all
Toggle Poster Visibility
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #13
An Adaptive Empirical Bayesian Method for Sparse Deep Learning
In Algorithms -- Model Selection and Structure Learning
Wei Deng · Xiao Zhang · Faming Liang · Guang Lin
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #14
AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters
In Algorithms -- Model Selection and Structure Learning
XIA XIAO · Zigeng Wang · Sanguthevar Rajasekaran
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #15
Constraint-based Causal Structure Learning with Consistent Separating Sets
In Algorithms -- Model Selection and Structure Learning
Honghao Li · Vincent Cabeli · Nadir Sella · Herve Isambert
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #16
Fast structure learning with modular regularization
In Algorithms -- Model Selection and Structure Learning
Greg Ver Steeg · Hrayr Harutyunyan · Daniel Moyer · Aram Galstyan
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #17
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer
In Algorithms -- Model Selection and Structure Learning
Zhiyong Yang · Qianqian Xu · Yangbangyan Jiang · Xiaochun Cao · Qingming Huang
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #18
Learning Erdos-Renyi Random Graphs via Edge Detecting Queries
In Algorithms -- Model Selection and Structure Learning
Zihan Li · Matthias Fresacher · Jonathan Scarlett
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #19
Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions
In Algorithms -- Model Selection and Structure Learning
Chris Russell · Matteo Toso · Neill Campbell
[ Paper]  [ Poster]