|
Poster
|
Thu 18:30 |
Reversible Instance Normalization for Accurate Time-Series Forecasting against Distribution Shift Taesung Kim · Jinhee Kim · Yunwon Tae · Cheonbok Park · Jang-Ho Choi · Jaegul Choo |
|
|
Poster
|
Thu 2:30 |
Embedded-model flows: Combining the inductive biases of model-free deep learning and explicit probabilistic modeling Gianluigi Silvestri · Emily Fertig · Dave Moore · Luca Ambrogioni |
|
|
Poster
|
Mon 10:30 |
Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series Enyan Dai · Jie Chen |
|
|
Poster
|
Wed 2:30 |
Discrepancy-Based Active Learning for Domain Adaptation Antoine De mathelin · François Deheeger · Mathilde MOUGEOT · Nicolas Vayatis |
|
|
Poster
|
Mon 18:30 |
Demystifying Batch Normalization in ReLU Networks: Equivalent Convex Optimization Models and Implicit Regularization Tolga Ergen · Arda Sahiner · Batu Ozturkler · John M Pauly · Morteza Mardani · Mert Pilanci |
|
|
Poster
|
Thu 18:30 |
Gradient Matching for Domain Generalization Yuge Shi · Jeffrey Seely · Philip Torr · Siddharth N · Awni Hannun · Nicolas Usunier · Gabriel Synnaeve |
|
|
Poster
|
Wed 10:30 |
Generalized rectifier wavelet covariance models for texture synthesis Antoine Brochard · Sixin Zhang · Stéphane Mallat |
|
|
Spotlight
|
Wed 18:30 |
SGD Can Converge to Local Maxima Liu Ziyin · Botao Li · James Simon · Masahito Ueda |
|
|
Poster
|
Tue 2:30 |
Phase Collapse in Neural Networks Florentin Guth · John Zarka · Stéphane Mallat |
|
|
Poster
|
Wed 18:30 |
SGD Can Converge to Local Maxima Liu Ziyin · Botao Li · James Simon · Masahito Ueda |
|
|
Poster
|
Thu 2:30 |
Dynamic Token Normalization improves Vision Transformers Wenqi Shao · Yixiao Ge · Zhaoyang Zhang · XUYUAN XU · Xiaogang Wang · Ying Shan · Ping Luo |
|
|
Spotlight
|
Mon 2:30 |
IntSGD: Adaptive Floatless Compression of Stochastic Gradients Konstantin Mishchenko · Bokun Wang · Dmitry Kovalev · Peter Richtarik |