ML Research Wiki / Benchmarks / Audio Classification / SHD

SHD

Audio Classification Benchmark

Performance Over Time

📊 Showing 11 results | 📏 Metric: Percentage correct

Top Performing Models

Rank	Model	Paper	Percentage correct	Date	Code
1	Event-SSM	Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models	95.90	2024-04-29	📦 Efficient-Scalable-Machine-Learning/event-ssm
2	SNN with Dilated Convolution with Learnable Spacings	Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings	95.10	2023-06-30	📦 thvnvtos/snn-delays
3	SNN featuring learnable axonal delays with adaptively delay caps	Adaptive Axonal Delays in feedforward spiking neural networks for accurate spoken word recognition	92.45	2023-02-16	-
4	CNN	The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks	92.40	2019-10-16	-
5	SNN with spatio-temporal filters and attention	STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks	92.40	2022-10-11	📦 Tab-ct/STSC-SNN
6	SNN with temporal-wise attention	Temporal-wise Attention Spiking Neural Networks for Event Streams Classification	91.10	2021-07-25	-
7	SNN	MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks	87.00	2022-04-21	📦 Tab-ct/MAP-SNN
8	Recurrent convolutional SNN	Fluctuation-driven initialization for spiking neural network training	83.50	2022-06-21	📦 fmi-basel/stork
9	Recurrent SNN	The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks	83.20	2019-10-16	-
10	Sparse Spiking Gradient Descent	Sparse Spiking Gradient Descent	77.50	2021-05-18	📦 npvoid/SparseSpikingBackprop

All Papers (11)

Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models

2024

Event-SSM

Efficient-Scalable-Machine-Learning/event-ssm

Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings

2023

SNN with Dilated Convolution with Learnable Spacings

thvnvtos/snn-delays

Adaptive Axonal Delays in feedforward spiking neural networks for accurate spoken word recognition

2023

SNN featuring learnable axonal delays with adaptively delay caps

The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks

2019

CNN

STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks

2022

SNN with spatio-temporal filters and attention

Tab-ct/STSC-SNN

Temporal-wise Attention Spiking Neural Networks for Event Streams Classification

2021

SNN with temporal-wise attention

MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks

2022

SNN

Tab-ct/MAP-SNN

Fluctuation-driven initialization for spiking neural network training

2022

Recurrent convolutional SNN

fmi-basel/stork

The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks

2019

Recurrent SNN

Sparse Spiking Gradient Descent

2021

Sparse Spiking Gradient Descent

npvoid/SparseSpikingBackprop

Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks

2022

FastSNN

webstorms/fastsnn

SHD

Performance Over Time

Edit Benchmark Results

Edit Result

Top Performing Models

All Papers (11)

Scalable Event-by-event Processing of Neuromorphic Sensory Signals With Deep State-Space Models

Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings

Adaptive Axonal Delays in feedforward spiking neural networks for accurate spoken word recognition

The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks

STSC-SNN: Spatio-Temporal Synaptic Connection with Temporal Convolution and Attention for Spiking Neural Networks

Temporal-wise Attention Spiking Neural Networks for Event Streams Classification

MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks

Fluctuation-driven initialization for spiking neural network training

The Heidelberg spiking datasets for the systematic evaluation of spiking neural networks

Sparse Spiking Gradient Descent

Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks

Model	Paper	Percentage correct	Date
Event-SSM	Scalable Event-by-event Processing of Neuromorphi…	95.90	2024-04-29
SNN with Dilated Convolution with Learnable Spacings	Learning Delays in Spiking Neural Networks using …	95.10	2023-06-30
SNN featuring learnable axonal delays with adaptively delay caps	Adaptive Axonal Delays in feedforward spiking neu…	92.45	2023-02-16
CNN	The Heidelberg spiking datasets for the systemati…	92.40	2019-10-16
SNN with spatio-temporal filters and attention	STSC-SNN: Spatio-Temporal Synaptic Connection wit…	92.40	2022-10-11
SNN with temporal-wise attention	Temporal-wise Attention Spiking Neural Networks f…	91.10	2021-07-25
SNN	MAP-SNN: Mapping Spike Activities with Multiplici…	87.00	2022-04-21
Recurrent convolutional SNN	Fluctuation-driven initialization for spiking neu…	83.50	2022-06-21
Recurrent SNN	The Heidelberg spiking datasets for the systemati…	83.20	2019-10-16
Sparse Spiking Gradient Descent	Sparse Spiking Gradient Descent	77.50	2021-05-18
FastSNN	Robust and accelerated single-spike spiking neura…	70.32	2022-05-30