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Oral
Tue Dec 08 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Implicit Neural Representations with Periodic Activation Functions
In Orals & Spotlights Track 13: Deep Learning/Theory
Vincent Sitzmann · Julien N.P Martel · Alexander Bergman · David Lindell · Gordon Wetzstein
[ Paper ]
Oral
Tue Dec 08 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
In Orals & Spotlights Track 13: Deep Learning/Theory
Guoliang Kang · Yunchao Wei · Yi Yang · Yueting Zhuang · Alexander Hauptmann
[ Paper ]
Oral
Tue Dec 08 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators
In Orals & Spotlights Track 13: Deep Learning/Theory
Takeshi Teshima · Isao Ishikawa · Koichi Tojo · Kenta Oono · Masahiro Ikeda · Masashi Sugiyama
[ Paper ]
Break
Tue Dec 08 06:45 PM -- 07:00 PM (PST)
Break
In Orals & Spotlights Track 13: Deep Learning/Theory
Spotlight
Tue Dec 08 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
MetaPerturb: Transferable Regularizer for Heterogeneous Tasks and Architectures
In Orals & Spotlights Track 13: Deep Learning/Theory
Jeong Un Ryu · JaeWoong Shin · Hae Beom Lee · Sung Ju Hwang
[ Paper ]
Spotlight
Tue Dec 08 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Robust Recovery via Implicit Bias of Discrepant Learning Rates for Double Over-parameterization
In Orals & Spotlights Track 13: Deep Learning/Theory
Chong You · Zhihui Zhu · Qing Qu · Yi Ma
[ Paper ]
Spotlight
Tue Dec 08 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Compositional Visual Generation with Energy Based Models
In Orals & Spotlights Track 13: Deep Learning/Theory
Yilun Du · Shuang Li · Igor Mordatch
[ Paper ]
Spotlight
Tue Dec 08 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Certified Monotonic Neural Networks
In Orals & Spotlights Track 13: Deep Learning/Theory
Xingchao Liu · Xing Han · Na Zhang · Qiang Liu
[ Paper ]
Q&A
Tue Dec 08 07:40 PM -- 07:50 PM (PST)
Joint Q&A for Preceeding Spotlights
In Orals & Spotlights Track 13: Deep Learning/Theory
Spotlight
Tue Dec 08 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing
In Orals & Spotlights Track 13: Deep Learning/Theory
Arun Jambulapati · Jerry Li · Kevin Tian
[ Paper ]
Spotlight
Tue Dec 08 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
On Correctness of Automatic Differentiation for Non-Differentiable Functions
In Orals & Spotlights Track 13: Deep Learning/Theory
Wonyeol Lee · Hangyeol Yu · Xavier Rival · Hongseok Yang
[ Paper ]
Spotlight
Tue Dec 08 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
The Complete Lasso Tradeoff Diagram
In Orals & Spotlights Track 13: Deep Learning/Theory
Hua Wang · Yachong Yang · Zhiqi Bu · Weijie Su
[ Paper ]
Spotlight
Tue Dec 08 08:20 PM -- 08:30 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Quantifying the Empirical Wasserstein Distance to a Set of Measures: Beating the Curse of Dimensionality
In Orals & Spotlights Track 13: Deep Learning/Theory
Nian Si · Jose Blanchet · Soumyadip Ghosh · Mark Squillante
[ Paper ]
Q&A
Tue Dec 08 08:30 PM -- 08:40 PM (PST)
Joint Q&A for Preceeding Spotlights
In Orals & Spotlights Track 13: Deep Learning/Theory
Break
Tue Dec 08 08:40 PM -- 09:00 PM (PST)
Break
In Orals & Spotlights Track 13: Deep Learning/Theory