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Yee Whye Teh

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Sampling and Inference for Beta Neutral-to-the-Left Models of Sparse Networks

Jul 09, 2018
Benjamin Bloem-Reddy, Adam Foster, Emile Mathieu, Yee Whye Teh

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Neural Processes

Jul 04, 2018
Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami, Yee Whye Teh

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Conditional Neural Processes

Jul 04, 2018
Marta Garnelo, Dan Rosenbaum, Chris J. Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo J. Rezende, S. M. Ali Eslami

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Progress & Compress: A scalable framework for continual learning

Jul 02, 2018
Jonathan Schwarz, Jelena Luketina, Wojciech M. Czarnecki, Agnieszka Grabska-Barwinska, Yee Whye Teh, Razvan Pascanu, Raia Hadsell

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Tighter Variational Bounds are Not Necessarily Better

Jun 25, 2018
Tom Rainforth, Adam R. Kosiorek, Tuan Anh Le, Chris J. Maddison, Maximilian Igl, Frank Wood, Yee Whye Teh

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Inference Trees: Adaptive Inference with Exploration

Jun 25, 2018
Tom Rainforth, Yuan Zhou, Xiaoyu Lu, Yee Whye Teh, Frank Wood, Hongseok Yang, Jan-Willem van de Meent

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Controllable Semantic Image Inpainting

Jun 15, 2018
Jin Xu, Yee Whye Teh

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Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects

Jun 05, 2018
Adam R. Kosiorek, Hyunjik Kim, Ingmar Posner, Yee Whye Teh

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Mix&Match - Agent Curricula for Reinforcement Learning

Jun 05, 2018
Wojciech Marian Czarnecki, Siddhant M. Jayakumar, Max Jaderberg, Leonard Hasenclever, Yee Whye Teh, Simon Osindero, Nicolas Heess, Razvan Pascanu

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Revisiting Reweighted Wake-Sleep

May 26, 2018
Tuan Anh Le, Adam R. Kosiorek, N. Siddharth, Yee Whye Teh, Frank Wood

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