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Poster
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Tue 10:45 |
Inherent Weight Normalization in Stochastic Neural Networks Georgios Detorakis · Sourav Dutta · Abhishek Khanna · Matthew Jerry · Suman Datta · Emre O Neftci |
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Poster
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Thu 10:45 |
Bridging Machine Learning and Logical Reasoning by Abductive Learning Wang-Zhou Dai · Qiuling Xu · Yang Yu · Zhi-Hua Zhou |
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Poster
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Wed 10:45 |
Disentangled behavioural representations Amir Dezfouli · Hassan Ashtiani · Omar Ghattas · Richard Nock · Peter Dayan · Cheng Soon Ong |
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Poster
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Tue 17:30 |
Multivariate Sparse Coding of Nonstationary Covariances with Gaussian Processes Rui Li |
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Poster
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Wed 10:45 |
Coordinated hippocampal-entorhinal replay as structural inference Talfan Evans · Neil Burgess |
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Poster
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Tue 10:45 |
Deep Learning without Weight Transport Mohamed Akrout · Collin Wilson · Peter Humphreys · Timothy Lillicrap · Douglas Tweed |
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Poster
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Wed 10:45 |
Learning Conditional Deformable Templates with Convolutional Networks Adrian Dalca · Marianne Rakic · John Guttag · Mert Sabuncu |
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Poster
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Tue 17:30 |
Experience Replay for Continual Learning David Rolnick · Arun Ahuja · Jonathan Richard Schwarz · Timothy Lillicrap · Gregory Wayne |
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Poster
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Wed 10:45 |
A neurally plausible model learns successor representations in partially observable environments Eszter Vértes · Maneesh Sahani |
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Poster
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Wed 10:45 |
Scalable Bayesian inference of dendritic voltage via spatiotemporal recurrent state space models Ruoxi Sun · Ian Kinsella · Scott Linderman · Liam Paninski |
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Poster
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Tue 10:45 |
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input Maxence Ernoult · Julie Grollier · Damien Querlioz · Yoshua Bengio · Benjamin Scellier |
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Poster
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Thu 17:00 |
Putting An End to End-to-End: Gradient-Isolated Learning of Representations Sindy Löwe · Peter O'Connor · Bas Veeling |