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Object-Centric Learning with Slot Attention
Francesco Locatello and Dirk Weissenborn and Thomas Unterthiner and Aravindh Mahendran and Georg Heigold and Jakob Uszkoreit and Alexey Dosovitskiy and Thomas Kipf
arXiv e-Print archive - 2020 via Local arXiv
Keywords: cs.LG, cs.CV, stat.ML

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Summary by ngthanhtinqn 11 months ago
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Nerfies: Deformable Neural Radiance Fields
Keunhong Park and Utkarsh Sinha and Jonathan T. Barron and Sofien Bouaziz and Dan B Goldman and Steven M. Seitz and Ricardo Martin-Brualla
arXiv e-Print archive - 2020 via Local arXiv
Keywords: cs.CV, cs.GR

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Summary by CodyWild 2 years ago
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Summary by CodyWild 3 years ago
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Summary by CodyWild 3 years ago
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Debiased Contrastive Learning
Ching-Yao Chuang and Joshua Robinson and Lin Yen-Chen and Antonio Torralba and Stefanie Jegelka
arXiv e-Print archive - 2020 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by CodyWild 3 years ago
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Critic Regularized Regression
Ziyu Wang and Alexander Novikov and Konrad Zolna and Jost Tobias Springenberg and Scott Reed and Bobak Shahriari and Noah Siegel and Josh Merel and Caglar Gulcehre and Nicolas Heess and Nando de Freitas
arXiv e-Print archive - 2020 via Local arXiv
Keywords: cs.LG, cs.AI, stat.ML

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Summary by CodyWild 3 years ago
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What shapes feature representations? Exploring datasets, architectures, and training
Katherine L. Hermann and Andrew K. Lampinen
arXiv e-Print archive - 2020 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by CodyWild 3 years ago
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Summary by CodyWild 3 years ago
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Summary by CodyWild 3 years ago
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Summary by CodyWild 3 years ago
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Summary by CodyWild 3 years ago
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Summary by CodyWild 3 years ago
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Summary by CodyWild 3 years ago
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Supervised Contrastive Learning
Prannay Khosla and Piotr Teterwak and Chen Wang and Aaron Sarna and Yonglong Tian and Phillip Isola and Aaron Maschinot and Ce Liu and Dilip Krishnan
arXiv e-Print archive - 2020 via Local arXiv
Keywords: cs.LG, cs.CV, stat.ML

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Summary by CodyWild 3 years ago
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Summary by CodyWild 3 years ago
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Summary by CodyWild 3 years ago
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Discovering Reinforcement Learning Algorithms
Junhyuk Oh and Matteo Hessel and Wojciech M. Czarnecki and Zhongwen Xu and Hado van Hasselt and Satinder Singh and David Silver
arXiv e-Print archive - 2020 via Local arXiv
Keywords: cs.LG, cs.AI

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Summary by CodyWild 3 years ago
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Summary by CodyWild 3 years ago
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Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Ilya Kostrikov and Denis Yarats and Rob Fergus
arXiv e-Print archive - 2020 via Local arXiv
Keywords: cs.LG, cs.CV, eess.IV, stat.ML

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Summary by CodyWild 3 years ago
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Reformer: The Efficient Transformer
Nikita Kitaev and Łukasz Kaiser and Anselm Levskaya
arXiv e-Print archive - 2020 via Local arXiv
Keywords: cs.LG, cs.CL, stat.ML

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Summary by CodyWild 3 years ago
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Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Massimo Caccia and Pau Rodriguez and Oleksiy Ostapenko and Fabrice Normandin and Min Lin and Lucas Caccia and Issam Laradji and Irina Rish and Alexande Lacoste and David Vazquez and Laurent Charlin
arXiv e-Print archive - 2020 via Local arXiv
Keywords: cs.AI, cs.LG

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Summary by Massimo Caccia 3 years ago
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