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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