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Oral
Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Deep Learning
Multiscale Deep Equilibrium Models
In Orals & Spotlights Track 08: Deep Learning
Shaojie Bai · Vladlen Koltun · J. Zico Kolter
[ Paper ]
Oral
Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Deep Learning
On the Modularity of Hypernetworks
In Orals & Spotlights Track 08: Deep Learning
Tomer Galanti · Lior Wolf
[ Paper ]
Oral
Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Deep Learning
Training Generative Adversarial Networks with Limited Data
In Orals & Spotlights Track 08: Deep Learning
Tero Karras · Miika Aittala · Janne Hellsten · Samuli Laine · Jaakko Lehtinen · Timo Aila
[ Paper ]
Break
Tue Dec 08 06:45 AM -- 07:00 AM (PST)
Break
In Orals & Spotlights Track 08: Deep Learning
Spotlight
Tue Dec 08 07:00 AM -- 07:10 AM (PST) @ Orals & Spotlights: Deep Learning
MeshSDF: Differentiable Iso-Surface Extraction
In Orals & Spotlights Track 08: Deep Learning
Edoardo Remelli · Artem Lukoianov · Stephan Richter · Benoit Guillard · Timur Bagautdinov · Pierre Baque · Pascal Fua
[ Paper ]
Spotlight
Tue Dec 08 07:10 AM -- 07:20 AM (PST) @ Orals & Spotlights: Deep Learning
GAIT-prop: A biologically plausible learning rule derived from backpropagation of error
In Orals & Spotlights Track 08: Deep Learning
Nasir Ahmad · Marcel A. J. van Gerven · Luca Ambrogioni
[ Paper ]
Spotlight
Tue Dec 08 07:20 AM -- 07:30 AM (PST) @ Orals & Spotlights: Deep Learning
Monotone operator equilibrium networks
In Orals & Spotlights Track 08: Deep Learning
Ezra Winston · J. Zico Kolter
[ Paper ]
Spotlight
Tue Dec 08 07:30 AM -- 07:40 AM (PST) @ Orals & Spotlights: Deep Learning
What Do Neural Networks Learn When Trained With Random Labels?
In Orals & Spotlights Track 08: Deep Learning
Hartmut Maennel · Ibrahim Alabdulmohsin · Ilya Tolstikhin · Robert Baldock · Olivier Bousquet · Sylvain Gelly · Daniel Keysers
[ Paper ]
Q&A
Tue Dec 08 07:40 AM -- 07:50 AM (PST)
Joint Q&A for Preceeding Spotlights
In Orals & Spotlights Track 08: Deep Learning
Spotlight
Tue Dec 08 07:50 AM -- 08:00 AM (PST) @ Orals & Spotlights: Deep Learning
H-Mem: Harnessing synaptic plasticity with Hebbian Memory Networks
In Orals & Spotlights Track 08: Deep Learning
Thomas Limbacher · Robert Legenstein
[ Paper ]
Spotlight
Tue Dec 08 08:00 AM -- 08:10 AM (PST) @ Orals & Spotlights: Deep Learning
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks
In Orals & Spotlights Track 08: Deep Learning
Shuxuan Guo · Jose M. Alvarez · Mathieu Salzmann
[ Paper ]
Spotlight
Tue Dec 08 08:10 AM -- 08:20 AM (PST) @ Orals & Spotlights: Deep Learning
The phase diagram of approximation rates for deep neural networks
In Orals & Spotlights Track 08: Deep Learning
Dmitry Yarotsky · Anton Zhevnerchuk
[ Paper ]
Spotlight
Tue Dec 08 08:20 AM -- 08:30 AM (PST) @ Orals & Spotlights: Deep Learning
Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient
In Orals & Spotlights Track 08: Deep Learning
Ankit Pensia · Shashank Rajput · Alliot Nagle · Harit Vishwakarma · Dimitris Papailiopoulos
[ Paper ]
Q&A
Tue Dec 08 08:30 AM -- 08:40 AM (PST)
Joint Q&A for Preceeding Spotlights
In Orals & Spotlights Track 08: Deep Learning
Break
Tue Dec 08 08:40 AM -- 09:00 AM (PST)
Break
In Orals & Spotlights Track 08: Deep Learning