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08/19/2023
Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling
Weakly-supervised action localization aims to recognize and localize act...
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07/24/2023
Automotive Object Detection via Learning Sparse Events by Temporal Dynamics of Spiking Neurons
Event-based sensors, with their high temporal resolution (1us) and dynam...
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06/29/2023
Cross-Inferential Networks for Source-free Unsupervised Domain Adaptation
One central challenge in source-free unsupervised domain adaptation (UDA...
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04/05/2023
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation
Backpropagation has rapidly become the workhorse credit assignment algor...
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03/09/2023
Curvature-Sensitive Predictive Coding with Approximate Laplace Monte Carlo
Predictive coding (PC) accounts of perception now form one of the domina...
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03/02/2023
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation
Fully test-time adaptation aims to adapt the network model based on sequ...
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12/29/2022
Long-horizon video prediction using a dynamic latent hierarchy
The task of video prediction and generation is known to be notoriously d...
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10/17/2022
Self-Supervised Learning Through Efference Copies
Self-supervised learning (SSL) methods aim to exploit the abundance of u...
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09/23/2022
Hebbian Deep Learning Without Feedback
Recent approximations to backpropagation (BP) have mitigated many of BP'...
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07/25/2022
Modelling non-reinforced preferences using selective attention
How can artificial agents learn non-reinforced preferences to continuous...
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06/28/2022
Short-Term Plasticity Neurons Learning to Learn and Forget
Short-term plasticity (STP) is a mechanism that stores decaying memories...
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10/21/2021
Variational Predictive Routing with Nested Subjective Timescales
Discovery and learning of an underlying spatiotemporal hierarchy in sequ...
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10/06/2021
Spike-inspired Rank Coding for Fast and Accurate Recurrent Neural Networks
Biological spiking neural networks (SNNs) can temporally encode informat...
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07/12/2021