CodyWild

sciscore: 2.89




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When Does Contrastive Visual Representation Learning Work?
Elijah Cole and Xuan Yang and Kimberly Wilber and Oisin Mac Aodha and Serge Belongie
arXiv e-Print archive - 2021 via Local arXiv
Keywords: cs.CV, cs.LG

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Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
William Fedus and Barret Zoph and Noam Shazeer
arXiv e-Print archive - 2021 via Local arXiv
Keywords: cs.LG, cs.AI

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Summary by CodyWild 3 weeks ago
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Learning to Ground Multi-Agent Communication with Autoencoders
Toru Lin and Minyoung Huh and Chris Stauffer and Ser-Nam Lim and Phillip Isola
arXiv e-Print archive - 2021 via Local arXiv
Keywords: cs.LG, cs.AI, cs.CL, cs.MA

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VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text
Hassan Akbari and Liangzhe Yuan and Rui Qian and Wei-Hong Chuang and Shih-Fu Chang and Yin Cui and Boqing Gong
arXiv e-Print archive - 2021 via Local arXiv
Keywords: cs.CV, cs.AI, cs.LG, cs.MM, eess.IV

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Inverted Residuals and Linear Bottlenecks: Mobile Networks for Classification, Detection and Segmentation
Mark Sandler and Andrew Howard and Menglong Zhu and Andrey Zhmoginov and Liang-Chieh Chen
arXiv e-Print archive - 2018 via Local arXiv
Keywords: cs.CV

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Summary by CodyWild 3 weeks ago
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Summary by CodyWild 4 weeks ago
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Perceiver: General Perception with Iterative Attention
Andrew Jaegle and Felix Gimeno and Andrew Brock and Andrew Zisserman and Oriol Vinyals and Joao Carreira
arXiv e-Print archive - 2021 via Local arXiv
Keywords: cs.CV, cs.AI, cs.LG, cs.SD, eess.AS

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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 1 year ago
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Summary by CodyWild 1 year 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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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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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 1 year ago
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Summary by CodyWild 1 year ago
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1 Comments
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Summary by CodyWild 1 year 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 1 year 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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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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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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Boosting Docking-based Virtual Screening with Deep Learning
Janaina Cruz Pereira and Ernesto Raul Caffarena and Cicero dos Santos
arXiv e-Print archive - 2016 via Local arXiv
Keywords: q-bio.QM

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Combining docking pose rank and structure with deep learning improves protein-ligand binding mode prediction
Joseph A. Morrone and Jeffrey K. Weber and Tien Huynh and Heng Luo and Wendy D. Cornell
arXiv e-Print archive - 2019 via Local arXiv
Keywords: q-bio.BM, physics.bio-ph, stat.ML

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Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Julian Schrittwieser and Ioannis Antonoglou and Thomas Hubert and Karen Simonyan and Laurent Sifre and Simon Schmitt and Arthur Guez and Edward Lockhart and Demis Hassabis and Thore Graepel and Timothy Lillicrap and David Silver
arXiv e-Print archive - 2019 via Local arXiv
Keywords: cs.LG, stat.ML

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Summary by CodyWild 2 years ago
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Summary by CodyWild 2 years ago
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Summary by CodyWild 2 years ago
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Summary by CodyWild 2 years ago
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Summary by CodyWild 2 years ago
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1 Comments
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Summary by CodyWild 2 years ago
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