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11 Results
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Poster
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Mon 2:30 |
Cross-Layer Retrospective Retrieving via Layer Attention Yanwen Fang · Yuxi Cai · Jintai Chen · Jingyu Zhao · Guangjian Tian · Guodong Li |
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Oral
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Wed 1:00 |
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time Anand Subramoney · Khaleelulla Khan Nazeer · Mark Schoene · Christian Mayr · David Kappel |
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Poster
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Wed 2:30 |
Efficient recurrent architectures through activity sparsity and sparse back-propagation through time Anand Subramoney · Khaleelulla Khan Nazeer · Mark Schoene · Christian Mayr · David Kappel |
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Poster
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Wed 2:30 |
Liquid Structural State-Space Models Ramin Hasani · Mathias Lechner · Johnson (Tsun-Hsuan) Wang · Makram Chahine · Alexander Amini · Daniela Rus |
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Poster
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Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations Ali Hummos |
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Poster
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Wed 7:30 |
Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation David Lipshutz · Cengiz Pehlevan · Dmitri Chklovskii |
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Poster
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Wed 7:30 |
Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions David Bieber · Rishab Goel · Daniel Zheng · Hugo Larochelle · Daniel Tarlow |
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Oral
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Mon 1:40 |
Neural Networks and the Chomsky Hierarchy Gregoire Deletang · Anian Ruoss · Jordi Grau-Moya · Tim Genewein · Li Kevin Wenliang · Elliot Catt · Chris Cundy · Marcus Hutter · Shane Legg · Joel Veness · Pedro Ortega |
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Poster
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Mon 2:30 |
Neural Networks and the Chomsky Hierarchy Gregoire Deletang · Anian Ruoss · Jordi Grau-Moya · Tim Genewein · Li Kevin Wenliang · Elliot Catt · Chris Cundy · Marcus Hutter · Shane Legg · Joel Veness · Pedro Ortega |
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Poster
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Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs Yu Duan · Zhongfan Jia · Qian Li · Yi Zhong · Kaisheng Ma |
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Poster
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Mon 7:30 |
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization Stamatios Lefkimmiatis · Iaroslav Koshelev |