|
Poster
|
Thu 6:00 |
Robustifying Sequential Neural Processes Jaesik Yoon · Gautam Singh · Sungjin Ahn |
|
|
Poster
|
Thu 13:00 |
A quantile-based approach for hyperparameter transfer learning David Salinas · Huibin Shen · Valerio Perrone |
|
|
Poster
|
Wed 5:00 |
The Differentiable Cross-Entropy Method Brandon Amos · Denis Yarats |
|
|
Poster
|
Wed 13:00 |
Super-efficiency of automatic differentiation for functions defined as a minimum Pierre Ablin · Gabriel Peyré · Thomas Moreau |
|
|
Poster
|
Wed 8:00 |
Frustratingly Simple Few-Shot Object Detection Xin Wang · Thomas Huang · Joseph E Gonzalez · Trevor Darrell · Fisher Yu |
|
|
Poster
|
Tue 9:00 |
Stabilizing Differentiable Architecture Search via Perturbation-based Regularization Xiangning Chen · Cho-Jui Hsieh |
|
|
Poster
|
Wed 16:00 |
Automated Synthetic-to-Real Generalization Wuyang Chen · Zhiding Yu · Zhangyang “Atlas” Wang · Anima Anandkumar |
|
|
Poster
|
Tue 7:00 |
On the Generalization Effects of Linear Transformations in Data Augmentation Sen Wu · Hongyang Zhang · Gregory Valiant · Christopher Re |
|
|
Poster
|
Thu 12:00 |
Optimizer Benchmarking Needs to Account for Hyperparameter Tuning Prabhu Teja Sivaprasad · Florian Mai · Thijs Vogels · Martin Jaggi · François Fleuret |
|
|
Poster
|
Tue 10:00 |
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data Felipe Petroski Such · Aditya Rawal · Joel Lehman · Kenneth Stanley · Jeffrey Clune |
|
|
Poster
|
Wed 15:00 |
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning Sung Whan Yoon · Do-Yeon Kim · Jun Seo · Jaekyun Moon |
|
|
Workshop
|
Sat 12:00 |
2.9 ‘Algorithm-Performance Personas’ for Siamese Meta-Learning and Automated Algorithm Selection Joeran Beel |