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Oral
Tue Jun 11th 02:00 -- 02:20 PM @ Grand Ballroom
On Learning Invariant Representations for Domain Adaptation
Han Zhao · Remi Tachet des Combes · Kun Zhang · Geoff Gordon
Oral
Tue Jun 11th 02:20 -- 02:25 PM @ Grand Ballroom
Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models
Mor Shpigel Nacson · Suriya Gunasekar · Jason Lee · Nati Srebro · Daniel Soudry
Oral
Tue Jun 11th 02:25 -- 02:30 PM @ Grand Ballroom
Adversarial Generation of Time-Frequency Features with application in audio synthesis
Andrés Marafioti · Nathanaël Perraudin · Nicki Holighaus · Piotr Majdak
Oral
Tue Jun 11th 02:30 -- 02:35 PM @ Grand Ballroom
On the Universality of Invariant Networks
Haggai Maron · Ethan Fetaya · Nimrod Segol · Yaron Lipman
Oral
Tue Jun 11th 02:35 -- 02:40 PM @ Grand Ballroom
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks
Sanjeev Arora · Simon Du · Wei Hu · Zhiyuan Li · Ruosong Wang
Oral
Tue Jun 11th 02:40 -- 03:00 PM @ Grand Ballroom
Gauge Equivariant Convolutional Networks and the Icosahedral CNN
Taco Cohen · Maurice Weiler · Berkay Kicanaoglu · Max Welling
Oral
Tue Jun 11th 03:00 -- 03:05 PM @ Grand Ballroom
Feature-Critic Networks for Heterogeneous Domain Generalization
Yiying Li · Yongxin Yang · Wei Zhou · Timothy Hospedales
Oral
Tue Jun 11th 03:05 -- 03:10 PM @ Grand Ballroom
Learning to Convolve: A Generalized Weight-Tying Approach
Nichita Diaconu · Daniel E Worrall
Oral
Tue Jun 11th 03:10 -- 03:15 PM @ Grand Ballroom
On Dropout and Nuclear Norm Regularization
Poorya Mianjy · Raman Arora
Oral
Tue Jun 11th 03:15 -- 03:20 PM @ Grand Ballroom
Gradient Descent Finds Global Minima of Deep Neural Networks
Simon Du · Jason Lee · Haochuan Li · Liwei Wang · Xiyu Zhai