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Workshop
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Associative memory via covariance-learning predictive coding networks
Mufeng Tang · Tommaso Salvatori · Yuhang Song · Beren Millidge · Thomas Lukasiewicz · Rafal Bogacz
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Workshop
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Sat 10:30
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Learning to count visual objects by combining "what" and "where" in recurrent memory
Jessica Thompson · Hannah Sheahan · Christopher Summerfield
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Workshop
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A Universal Abstraction for Hierarchical Hopfield Networks
Benjamin Hoover · Duen Horng Chau · Hendrik Strobelt · Dmitry Krotov
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Workshop
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Momentum Boosted Episodic Memory for Improving Learning in Long-Tailed RL Environments
Dolton Fernandes · Pramod Kaushik · Harsh Shukla · Raju Bapi
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Workshop
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Learning to Control Rapidly Changing Synaptic Connections: An Alternative Type of Memory in Sequence Processing Artificial Neural Networks
Kazuki Irie · Jürgen Schmidhuber
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Workshop
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Constructing compressed number lines of latent variables using a cognitive model of memory and deep neural networks
Sahaj Singh Maini · James Mochizuki-Freeman · Chirag Shankar Indi · Brandon Jacques · Per B Sederberg · Marc Howard · Zoran Tiganj
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Workshop
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Exploring The Precision of Real Intelligence Systems at Synapse Resolution
Mohammad Samavat · Tom Bartol · Kristen Harris · Terrence Sejnowski
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Workshop
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CL-LSG: Continual Learning via Learnable Sparse Growth
Li Yang · Sen Lin · Junshan Zhang · Deliang Fan
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Workshop
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Characterizing Verbatim Short-Term Memory in Neural Language Models
Kristijan Armeni · Christopher J Honey · Tal Linzen
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Workshop
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Informing generative replay for continual learning with long-term memory formation in the fruit fly
Brian Robinson · Justin Joyce · Raphael Norman-Tenazas · Gautam Vallabha · Erik Johnson
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Workshop
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Differentiable Neural Computers with Memory Demon
Ari Azarafrooz
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Workshop
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Leveraging Episodic Memory to Improve World Models for Reinforcement Learning
Julian Coda-Forno · Changmin Yu · Qinghai Guo · Zafeirios Fountas · Neil Burgess
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