firstbacksecondback
70 Results
|
Poster
|
Wed 14:30 |
Deep Frank-Wolfe For Neural Network Optimization Leonard Berrada · Andrew Zisserman · M. Pawan Kumar |
|
|
Poster
|
Wed 14:30 |
Adaptive Gradient Methods with Dynamic Bound of Learning Rate Liangchen Luo · Yuanhao Xiong · Yan Liu · Xu Sun |
|
|
Poster
|
Wed 14:30 |
ANYTIME MINIBATCH: EXPLOITING STRAGGLERS IN ONLINE DISTRIBUTED OPTIMIZATION Nuwan Ferdinand · Haider Al-Lawati · Stark Draper · Matthew Nokleby |
|
|
Poster
|
Tue 14:30 |
Efficient Multi-Objective Neural Architecture Search via Lamarckian Evolution Thomas Elsken · Jan Hendrik Metzen · Frank Hutter |
|
|
Poster
|
Wed 14:30 |
Gradient Descent Provably Optimizes Over-parameterized Neural Networks Simon Du · Xiyu Zhai · Barnabás Póczos · Aarti Singh |
|
|
Poster
|
Wed 14:30 |
Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions Zaiyi Chen · Zhuoning Yuan · Jinfeng Yi · Bowen Zhou · Enhong Chen · Tianbao Yang |
|
|
Poster
|
Thu 14:30 |
Variational Autoencoders with Jointly Optimized Latent Dependency Structure Jiawei He · Yu Gong · Joe Marino · Greg Mori · Andreas Lehrmann |
|
|
Poster
|
Wed 14:30 |
DeepOBS: A Deep Learning Optimizer Benchmark Suite Frank Stefan Schneider · Lukas Balles · Philipp Hennig |
|
|
Poster
|
Wed 14:30 |
Decoupled Weight Decay Regularization Ilya Loshchilov · Frank Hutter |
|
|
Poster
|
Thu 9:00 |
Learning to Design RNA Frederic Runge · Danny Stoll · Stefan Falkner · Frank Hutter |
|
|
Poster
|
Tue 14:30 |
Stochastic Optimization of Sorting Networks via Continuous Relaxations Aditya Grover · Eric J. Wang · Aaron Zweig · Stefano Ermon |
|
|
Poster
|
Tue 9:00 |
Context-adaptive Entropy Model for End-to-end Optimized Image Compression Jooyoung Lee · Seunghyun Cho · Seung-Kwon Beack |