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Poster
Mon 18:30 Unsupervised Sequence Classification using Sequential Output Statistics
Yu Liu · Jianshu Chen · Li Deng
Poster
Tue 18:30 Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples
Haw-Shiuan Chang · Erik Learned-Miller · Andrew McCallum
Poster
Tue 18:30 Online multiclass boosting
Young H Jung · Jack Goetz · Ambuj Tewari
Poster
Wed 18:30 Learning to Pivot with Adversarial Networks
Gilles Louppe · Michael Kagan · Kyle Cranmer
Poster
Tue 18:30 Group Sparse Additive Machine
Hong Chen · Xiaoqian Wang · Cheng Deng · Heng Huang
Poster
Mon 18:30 Introspective Classification with Convolutional Nets
Long Jin · Justin Lazarow · Zhuowen Tu
Poster
Mon 18:30 Decoupling "when to update" from "how to update"
Eran Malach · Shai Shalev-Shwartz
Spotlight
Thu 12:25 Maximizing Subset Accuracy with Recurrent Neural Networks in Multi-label Classification
Jinseok Nam · Eneldo Loza Mencía · Hyunwoo J Kim · Johannes Fürnkranz
Poster
Mon 18:30 Adversarial Surrogate Losses for Ordinal Regression
Rizal Fathony · Mohammad Ali Bashiri · Brian Ziebart
Poster
Wed 18:30 Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi · Hakan Bilen · Andrea Vedaldi
Poster
Tue 18:30 Learning with Average Top-k Loss
Yanbo Fan · Siwei Lyu · Yiming Ying · Baogang Hu
Poster
Mon 18:30 Learning with Feature Evolvable Streams
Bo-Jian Hou · Lijun Zhang · Zhi-Hua Zhou