Skip to yearly menu bar Skip to main content


Search All 2019 Events
 

9 Results

<<   <   Page 1 of 1   >>   >
Poster
Thu 9:00 Recurrent Experience Replay in Distributed Reinforcement Learning
Steven Kapturowski · Georg Ostrovski · John Quan · Remi Munos · Will Dabney
Poster
Thu 9:00 Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching
Chih-Kuan Yeh · Jianshu Chen · Chengzhu Yu · Dong Yu
Poster
Thu 14:30 The Deep Weight Prior
Andrei Atanov · Arsenii Ashukha · Kirill Struminsky · Dmitry P. Vetrov · Max Welling
Poster
Wed 14:30 Analysis of Quantized Models
LU HOU · Ruiliang Zhang · James Kwok
Poster
Thu 14:30 Toward Understanding the Impact of Staleness in Distributed Machine Learning
Wei Dai · Yi Zhou · Nanqing Dong · Hao Zhang · Eric Xing
Poster
Thu 9:00 textTOvec: DEEP CONTEXTUALIZED NEURAL AUTOREGRESSIVE TOPIC MODELS OF LANGUAGE WITH DISTRIBUTED COMPOSITIONAL PRIOR
Pankaj Gupta · Yatin Chaudhary · Florian Buettner · Hinrich Schuetze
Poster
Wed 14:30 signSGD with Majority Vote is Communication Efficient and Fault Tolerant
Jeremy Bernstein · Jiawei Zhao · Kamyar Azizzadenesheli · Anima Anandkumar
Poster
Wed 14:30 Predicting the Generalization Gap in Deep Networks with Margin Distributions
YiDing Jiang · Dilip Krishnan · Hossein Mobahi · Samy Bengio
Poster
Thu 9:00 Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors
Vitalii Zhelezniak · Aleksandar D Savkov · April Shen · Francesco Moramarco · Jack Flann · Nils Hammerla