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263 Results
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Poster
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Tue 21:00 |
Guiding Deep Molecular Optimization with Genetic Exploration Sungsoo Ahn · Junsu Kim · Hankook Lee · Jinwoo Shin |
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Poster
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Thu 21:00 |
No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix Emmanouil-Vasileios Vlatakis-Gkaragkounis · Lampros Flokas · Thanasis Lianeas · Panayotis Mertikopoulos · Georgios Piliouras |
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Poster
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Tue 9:00 |
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified mutli-task Lasso Jerome-Alexis Chevalier · Joseph Salmon · Alexandre Gramfort · Bertrand Thirion |
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Spotlight
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Thu 20:20 |
No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix Emmanouil-Vasileios Vlatakis-Gkaragkounis · Lampros Flokas · Thanasis Lianeas · Panayotis Mertikopoulos · Georgios Piliouras |
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Poster
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Tue 9:00 |
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function Lingkai Kong · Molei Tao |
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Workshop
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Fri 5:45 |
Differential Geometry meets Deep Learning (DiffGeo4DL) Joey Bose · Emile Mathieu · Charline Le Lan · Ines Chami · Frederic Sala · Christopher De Sa · Maximilian Nickel · Christopher Ré · Will Hamilton |
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Poster
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Mon 21:00 |
Reinforcement Learning for Control with Multiple Frequencies Jongmin Lee · Byung-Jun Lee · Kee-Eung Kim |
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Poster
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Wed 9:00 |
High-Fidelity Generative Image Compression Fabian Mentzer · George D Toderici · Michael Tschannen · Eirikur Agustsson |
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Oral
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Wed 6:00 |
High-Fidelity Generative Image Compression Fabian Mentzer · George D Toderici · Michael Tschannen · Eirikur Agustsson |
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Spotlight
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Tue 7:20 |
Hausdorff Dimension, Heavy Tails, and Generalization in Neural Networks Umut Simsekli · Ozan Sener · George Deligiannidis · Murat Erdogdu |
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Workshop
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Sat 9:20 |
Deep Learning through Information Geometry Pratik Chaudhari · Alexander Alemi · Varun Jog · Dhagash Mehta · Frank Nielsen · Stefano Soatto · Greg Ver Steeg |
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Poster
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Mon 21:00 |
One-sample Guided Object Representation Disassembling Zunlei Feng · Yongming He · Xinchao Wang · Xin Gao · Jie Lei · Cheng Jin · Mingli Song |