firstbacksecondback
70 Results
|
Poster
|
Thu 14:00 |
Optimal Subsampling with Influence Functions Daniel Ting · Eric Brochu |
|
|
Poster
|
Tue 7:45 |
Paraphrasing Complex Network: Network Compression via Factor Transfer Jangho Kim · Seonguk Park · Nojun Kwak |
|
|
Poster
|
Tue 7:45 |
A Linear Speedup Analysis of Distributed Deep Learning with Sparse and Quantized Communication Peng Jiang · Gagan Agrawal |
|
|
Poster
|
Tue 14:00 |
How Does Batch Normalization Help Optimization? Shibani Santurkar · Dimitris Tsipras · Andrew Ilyas · Aleksander Madry |
|
|
Poster
|
Tue 7:45 |
Regularizing by the Variance of the Activations' Sample-Variances Etai Littwin · Lior Wolf |
|
|
Poster
|
Wed 7:45 |
Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding Hajin Shim · Sung Ju Hwang · Eunho Yang |
|
|
Poster
|
Thu 7:45 |
Wasserstein Variational Inference Luca Ambrogioni · Umut Güçlü · Yağmur Güçlütürk · Max Hinne · Marcel A. J. van Gerven · Eric Maris |
|
|
Poster
|
Tue 14:00 |
Neural Ordinary Differential Equations Tian Qi Chen · Yulia Rubanova · Jesse Bettencourt · David Duvenaud |
|
|
Poster
|
Tue 14:00 |
Regularization Learning Networks: Deep Learning for Tabular Datasets Ira Shavitt · Eran Segal |
|
|
Poster
|
Tue 7:45 |
Collaborative Learning for Deep Neural Networks Guocong Song · Wei Chai |
|
|
Poster
|
Tue 14:00 |
Bayesian Inference of Temporal Task Specifications from Demonstrations Ankit Shah · Pritish Kamath · Julie A Shah · Shen Li |
|
|
Poster
|
Wed 7:45 |
On the Local Hessian in Back-propagation Huishuai Zhang · Wei Chen · Tie-Yan Liu |