Outrageously large neural networks: The sparsely-gated mixture-of-experts layer
Original
Noam Shazeer, Azalia Mirhoseini, Krzysztof Maziarz, Andy Davis, Quoc Le, Geoffrey Hinton, and Jeff Dean · 2017
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Babyai: First steps towards grounded language learning with a human in the loop
Original
Maxime Chevalier-Boisvert, Dzmitry Bahdanau, Salem Lahlou, Lucas Willems, Chitwan Saharia, Thien Huu Nguyen, and Yoshua Bengio · 2018
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Modular networks: Learning to decompose neural computation
Louis Kirsch, Julius Kunze, and David Barber · 2018
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Relational recurrent neural networks
Original
Adam Santoro, Ryan Faulkner, David Raposo, Jack W. Rae, Mike Chrzanowski, Theophane Weber, Daan Wierstra, Oriol Vinyals, Razvan Pascanu, and Timothy P. Lillicrap · 2018
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Relational neural expectation maximization: Unsupervised discovery of objects and their interactions
Original
Sjoerd Van Steenkiste, Michael Chang, Klaus Greff, and Jürgen Schmidhuber · 2018
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Recurrent independent mechanisms
Original
Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio, and Bernhard Schölkopf · 2019
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Intphys: A benchmark for visual intuitive physics reasoning
Ronan Riochet, Mario Ynocente Castro, Mathieu Bernard, Adam Lerer, Rob Fergus, Véronique Izard, and Emmanuel Dupoux · 2019
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Routing networks and the challenges of modular and compositional computation
Original
Clemens Rosenbaum, Ignacio Cases, Matthew Riemer, and Tim Klinger · 2019
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