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Poster
Tue 9:00 Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
Kaihua Tang · Jianqiang Huang · Hanwang Zhang
Poster
Thu 9:00 Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning
Julius Berner · Markus Dablander · Philipp Grohs
Poster
Wed 9:00 Searching for Low-Bit Weights in Quantized Neural Networks
Zhaohui Yang · Yunhe Wang · Kai Han · Chunjing XU · Chao Xu · Dacheng Tao · Chang Xu
Poster
Tue 21:00 HOI Analysis: Integrating and Decomposing Human-Object Interaction
Yong-Lu Li · Xinpeng Liu · Xiaoqian Wu · Yizhuo Li · Cewu Lu
Poster
Mon 21:00 Model-based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs
Jianzhun Du · Joseph Futoma · Finale Doshi-Velez
Poster
Thu 9:00 Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures
Julien Launay · Iacopo Poli · François Boniface · Florent Krzakala
Poster
Thu 9:00 Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes
Andrew Foong · Wessel Bruinsma · Jonathan Gordon · Yann Dubois · James Requeima · Richard Turner
Poster
Wed 9:00 Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels
Massimiliano Patacchiola · Jack Turner · Elliot Crowley · Michael O'Boyle · Amos Storkey
Spotlight
Wed 7:20 Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels
Massimiliano Patacchiola · Jack Turner · Elliot Crowley · Michael O'Boyle · Amos Storkey
Poster
Thu 21:00 Implicit Graph Neural Networks
Fangda Gu · Heng Chang · Wenwu Zhu · Somayeh Sojoudi · Laurent El Ghaoui
Poster
Thu 9:00 Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness
Jeremiah Liu · Zi Lin · Shreyas Padhy · Dustin Tran · Tania Bedrax Weiss · Balaji Lakshminarayanan
Poster
Tue 21:00 Relative gradient optimization of the Jacobian term in unsupervised deep learning
Luigi Gresele · Giancarlo Fissore · Adrián Javaloy · Bernhard Schölkopf · Aapo Hyvarinen