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588 Results
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Poster
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Wed 10:45 |
Addressing Failure Prediction by Learning Model Confidence Charles Corbière · Nicolas THOME · Avner Bar-Hen · Matthieu Cord · Patrick Pérez |
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Poster
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Thu 17:00 |
Random Path Selection for Continual Learning Jathushan Rajasegaran · Munawar Hayat · Salman H Khan · Fahad Shahbaz Khan · Ling Shao |
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Poster
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Tue 17:30 |
DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision Tam Nguyen · Maximilian Dax · Chaithanya Kumar Mummadi · Nhung Ngo · Thi Hoai Phuong Nguyen · Zhongyu Lou · Thomas Brox |
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Poster
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Wed 10:45 |
Likelihood Ratios for Out-of-Distribution Detection Jie Ren · Peter Liu · Emily Fertig · Jasper Snoek · Ryan Poplin · Mark Depristo · Joshua Dillon · Balaji Lakshminarayanan |
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Poster
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Tue 17:30 |
Oracle-Efficient Algorithms for Online Linear Optimization with Bandit Feedback Shinji Ito · Daisuke Hatano · Hanna Sumita · Kei Takemura · Takuro Fukunaga · Naonori Kakimura · Ken-Ichi Kawarabayashi |
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Poster
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Thu 17:00 |
Attribution-Based Confidence Metric For Deep Neural Networks Susmit Jha · Sunny Raj · Steven Fernandes · Sumit K Jha · Somesh Jha · Brian Jalaian · Gunjan Verma · Ananthram Swami |
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Poster
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Thu 17:00 |
Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test Lizhong Ding · Mengyang Yu · Li Liu · Fan Zhu · Yong Liu · Yu Li · Ling Shao |
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Poster
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Thu 17:00 |
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset Muhammad Waleed Gondal · Manuel Wuethrich · Djordje Miladinovic · Francesco Locatello · Martin Breidt · Valentin Volchkov · Joel Akpo · Olivier Bachem · Bernhard Schölkopf · Stefan Bauer |
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Poster
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Thu 17:00 |
Breaking the Glass Ceiling for Embedding-Based Classifiers for Large Output Spaces Chuan Guo · Ali Mousavi · Xiang Wu · Daniel Holtmann-Rice · Satyen Kale · Sashank Reddi · Sanjiv Kumar |
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Poster
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Tue 10:45 |
Grid Saliency for Context Explanations of Semantic Segmentation Lukas Hoyer · Mauricio Munoz · Prateek Katiyar · Anna Khoreva · Volker Fischer |
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Poster
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Tue 17:30 |
GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism Yanping Huang · Youlong Cheng · Ankur Bapna · Orhan Firat · Dehao Chen · Mia Chen · HyoukJoong Lee · Jiquan Ngiam · Quoc V Le · Yonghui Wu · zhifeng Chen |
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Workshop
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Fri 16:15 |
Poster Session Jonathan Scarlett · Piotr Indyk · Ali Vakilian · Adrian Weller · Partha P Mitra · Benjamin Aubin · Bruno Loureiro · Florent Krzakala · Lenka Zdeborová · Kristina Monakhova · Joshua Yurtsever · Laura Waller · Hendrik Sommerhoff · Michael Moeller · Rushil Anirudh · Shuang Qiu · Xiaohan Wei · Zhuoran Yang · Jayaraman Thiagarajan · Salman Asif · Michael Gillhofer · Johannes Brandstetter · Sepp Hochreiter · Felix Petersen · Dhruv Patel · Assad Oberai · Akshay Kamath · Sushrut Karmalkar · Eric Price · Ali Ahmed · Zahra Kadkhodaie · Sreyas Mohan · Eero Simoncelli · Carlos Fernandez-Granda · Oscar Leong · Wesam Sakla · Rebecca Willett · Stephan Hoyer · Jascha Sohl-Dickstein · Sam Greydanus · Gauri Jagatap · Chinmay Hegde · Michael Kellman · Jonathan Tamir · Nouamane Laanait · Ousmane Dia · Mirco Ravanelli · Jonathan Binas · Negar Rostamzadeh · Shirin Jalali · Tiantian Fang · Alex Schwing · Sébastien Lachapelle · Philippe Brouillard · Tristan Deleu · Simon Lacoste-Julien · Stella Yu · Arya Mazumdar · Ankit Singh Rawat · Yue Zhao · Jianshu Chen · Xiaoyang Li · Hubert Ramsauer · Gabrio Rizzuti · Nikolaos Mitsakos · Dingzhou Cao · Thomas Strohmer · Yang Li · Pei Peng · Gregory Ongie |