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Oral
Wed Jul 11th 05:00 -- 05:20 PM @ K1 + K2
Essentially No Barriers in Neural Network Energy Landscape
In Deep Learning (Theory) 2
Felix Draxler · Kambis Veschgini · Manfred Salmhofer · Fred Hamprecht
Oral
Wed Jul 11th 05:20 -- 05:30 PM @ K1 + K2
Comparing Dynamics: Deep Neural Networks versus Glassy Systems
In Deep Learning (Theory) 2
Marco Baity-Jesi · Levent Sagun · Mario Geiger · Stefano Spigler · Gerard Arous · Chiara Cammarota · Yann LeCun · Matthieu Wyart · Giulio Biroli
Oral
Wed Jul 11th 05:30 -- 05:40 PM @ K1 + K2
Not All Samples Are Created Equal: Deep Learning with Importance Sampling
In Deep Learning (Theory) 2
Angelos Katharopoulos · Francois Fleuret
Oral
Wed Jul 11th 05:40 -- 05:50 PM @ K1 + K2
Learning Deep ResNet Blocks Sequentially using Boosting Theory
In Deep Learning (Theory) 2
Furong Huang · Jordan Ash · John Langford · Robert Schapire
Oral
Wed Jul 11th 05:50 -- 06:00 PM @ K1 + K2
An Optimal Control Approach to Deep Learning and Applications to Discrete-Weight Neural Networks
In Deep Learning (Theory) 2
Qianxiao Li · IHPC Shuji Hao