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08/29/2023
Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding
The human brain exhibits remarkable abilities in integrating temporally ...
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06/21/2023
Spiking Neural Network for Ultra-low-latency and High-accurate Object Detection
Spiking Neural Networks (SNNs) have garnered widespread interest for the...
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06/21/2023
Mitigating Communication Costs in Neural Networks: The Role of Dendritic Nonlinearity
Our comprehension of biological neuronal networks has profoundly influen...
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06/06/2023
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks
Spiking neural networks (SNNs) have manifested remarkable advantages in ...
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04/19/2023
Biologically inspired structure learning with reverse knowledge distillation for spiking neural networks
Spiking neural networks (SNNs) have superb characteristics in sensory in...
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04/12/2023
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation
Spiking neural networks (SNNs) are well known as the brain-inspired mode...
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10/12/2022
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks
Spiking neural networks (SNNs) are bio-inspired neural networks with asy...
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07/26/2022
SPAIC: A Spike-based Artificial Intelligence Computing Framework
Neuromorphic computing is an emerging research field that aims to develo...
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12/13/2021
Human-Level Control through Directly-Trained Deep Spiking Q-Networks
As the third-generation neural networks, Spiking Neural Networks (SNNs) ...
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05/02/2020
Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning
Spikes are the currency in central nervous systems for information trans...
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02/14/2020
Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks
Address event representation (AER) cameras have recently attracted more ...
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11/19/2019
Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons
This paper proposes an unsupervised address event representation (AER) o...
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02/04/2019
Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning
The capability for environmental sound recognition (ESR) can determine t...
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04/28/2018
Spiking Deep Residual Network
Recently, spiking neural network (SNN) has received significant attentio...
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02/26/2015
Connections Between Nuclear Norm and Frobenius Norm Based Representations
A lot of works have shown that frobenius-norm based representation (FNR)...
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09/22/2014
Fast Low-rank Representation based Spatial Pyramid Matching for Image Classification
Spatial Pyramid Matching (SPM) and its variants have achieved a lot of s...
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09/25/2013
A Unified Framework for Representation-based Subspace Clustering of Out-of-sample and Large-scale Data
Under the framework of spectral clustering, the key of subspace clusteri...
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09/05/2012
