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06/07/2023
Long Sequence Hopfield Memory
Sequence memory is an essential attribute of natural and artificial inte...
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06/05/2023
End-to-end Differentiable Clustering with Associative Memories
Clustering is a widely used unsupervised learning technique involving an...
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03/20/2023
Sparse Distributed Memory is a Continual Learner
Continual learning is a problem for artificial neural networks that thei...
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02/14/2023
Energy Transformer
Transformers have become the de facto models of choice in machine learni...
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08/30/2022
Associative Learning for Network Embedding
The network embedding task is to represent the node in the network as a ...
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07/14/2021
Hierarchical Associative Memory
Dense Associative Memories or Modern Hopfield Networks have many appeali...
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01/18/2021
Can a Fruit Fly Learn Word Embeddings?
The mushroom body of the fruit fly brain is one of the best studied syst...
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08/16/2020
Large Associative Memory Problem in Neurobiology and Machine Learning
Dense Associative Memories or modern Hopfield networks permit storage an...
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01/14/2020
Bio-Inspired Hashing for Unsupervised Similarity Search
The fruit fly Drosophila's olfactory circuit has inspired a new locality...
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08/14/2019
Local Unsupervised Learning for Image Analysis
Local Hebbian learning is believed to be inferior in performance to end-...
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06/26/2018
Unsupervised Learning by Competing Hidden Units
It is widely believed that the backpropagation algorithm is essential fo...
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01/04/2017
Dense Associative Memory is Robust to Adversarial Inputs
Deep neural networks (DNN) trained in a supervised way suffer from two k...
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06/03/2016