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Hierarchical Perceiver



Joao Carreira , Skanda Koppula , Daniel Zoran , Adria Recasens , Catalin Ionescu , Olivier Henaff , Evan Shelhamer , Relja Arandjelovic , Matt Botvinick , Oriol Vinyals , Karen Simonyan , Andrew Zisserman , Andrew Jaegle


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Perceiver IO: A General Architecture for Structured Inputs & Outputs



Andrew Jaegle , Sebastian Borgeaud , Jean-Baptiste Alayrac , Carl Doersch , Catalin Ionescu , David Ding , Skanda Koppula , Daniel Zoran , Andrew Brock , Evan Shelhamer , Olivier Hénaff , Matthew M. Botvinick , Andrew Zisserman , Oriol Vinyals , João Carreira

* Code: https://dpmd.ai/perceiver-code 

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Making Sense of Reinforcement Learning and Probabilistic Inference



Brendan O'Donoghue , Ian Osband , Catalin Ionescu

* ICLR 2020 

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Unsupervised Learning of Object Keypoints for Perception and Control



Tejas Kulkarni , Ankush Gupta , Catalin Ionescu , Sebastian Borgeaud , Malcolm Reynolds , Andrew Zisserman , Volodymyr Mnih

* supplementary videos at https://www.youtube.com/playlist?list=PL3LT3tVQRpbvGt5fgp_bKGvW23jF11Vi2 

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Unsupervised Control Through Non-Parametric Discriminative Rewards



David Warde-Farley , Tom Van de Wiele , Tejas Kulkarni , Catalin Ionescu , Steven Hansen , Volodymyr Mnih

* 10 pages + references & 5 page appendix 

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Using Fast Weights to Attend to the Recent Past



Jimmy Ba , Geoffrey Hinton , Volodymyr Mnih , Joel Z. Leibo , Catalin Ionescu

* Added [Schmidhuber 1993] citation to the last paragraph of the introduction. Fixed typo appendix A.1 uniform initialization to 1/\sqrt{H} 

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Training Deep Networks with Structured Layers by Matrix Backpropagation



Catalin Ionescu , Orestis Vantzos , Cristian Sminchisescu

* This is an extended version of our ICCV 2015 article 

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