TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training
Fuente:
arXiv
Saved in:
| Main Authors: | Lee, Donghyun, Yin, Ruokai, Kim, Youngeun, Moitra, Abhishek, Li, Yuhang, Panda, Priyadarshini |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MD-SNN: Membrane Potential-aware Distillation on Quantized Spiking Neural Network
by: Lee, Donghyun, et al.
Published: (2025)
by: Lee, Donghyun, et al.
Published: (2025)
Workload-Balanced Pruning for Sparse Spiking Neural Networks
by: Yin, Ruokai, et al.
Published: (2023)
by: Yin, Ruokai, et al.
Published: (2023)
LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks
by: Yin, Ruokai, et al.
Published: (2024)
by: Yin, Ruokai, et al.
Published: (2024)
Spiking Transformer with Spatial-Temporal Attention
by: Lee, Donghyun, et al.
Published: (2024)
by: Lee, Donghyun, et al.
Published: (2024)
When In-memory Computing Meets Spiking Neural Networks -- A Perspective on Device-Circuit-System-and-Algorithm Co-design
by: Moitra, Abhishek, et al.
Published: (2024)
by: Moitra, Abhishek, et al.
Published: (2024)
SpikePool: Event-driven Spiking Transformer with Pooling Attention
by: Lee, Donghyun, et al.
Published: (2025)
by: Lee, Donghyun, et al.
Published: (2025)
Parallel Spiking Unit for Efficient Training of Spiking Neural Networks
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Efficiently Training Time-to-First-Spike Spiking Neural Networks from Scratch
by: Che, Kaiwei, et al.
Published: (2024)
by: Che, Kaiwei, et al.
Published: (2024)
SkipSNN: Efficiently Classifying Spike Trains with Event-attention
by: Yin, Hang, et al.
Published: (2024)
by: Yin, Hang, et al.
Published: (2024)
Parallel Training in Spiking Neural Networks
by: Huang, Yanbin, et al.
Published: (2026)
by: Huang, Yanbin, et al.
Published: (2026)
A Multiplication-Free Spike-Time Learning Algorithm and its Efficient FPGA Implementation for On-Chip SNN Training
by: Mirsadeghi, Maryam, et al.
Published: (2026)
by: Mirsadeghi, Maryam, et al.
Published: (2026)
ASRC-SNN: Adaptive Skip Recurrent Connection Spiking Neural Network
by: Xu, Shang, et al.
Published: (2025)
by: Xu, Shang, et al.
Published: (2025)
MorphSNN: Adaptive Graph Diffusion and Structural Plasticity for Spiking Neural Networks
by: Huang, Yongsheng, et al.
Published: (2026)
by: Huang, Yongsheng, et al.
Published: (2026)
Gated Attention Coding for Training High-performance and Efficient Spiking Neural Networks
by: Qiu, Xuerui, et al.
Published: (2023)
by: Qiu, Xuerui, et al.
Published: (2023)
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization
by: Liu, Qianhui, et al.
Published: (2024)
by: Liu, Qianhui, et al.
Published: (2024)
Efficient Training of Spiking Neural Networks by Spike-aware Data Pruning
by: Ma, Chenxiang, et al.
Published: (2025)
by: Ma, Chenxiang, et al.
Published: (2025)
Directly Training Temporal Spiking Neural Network with Sparse Surrogate Gradient
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Hybrid Temporal-8-Bit Spike Coding for Spiking Neural Network Surrogate Training
by: Nhan, Luu Trong, et al.
Published: (2025)
by: Nhan, Luu Trong, et al.
Published: (2025)
Cannistraci-Hebb Training on Ultra-Sparse Spiking Neural Networks
by: Hua, Yuan, et al.
Published: (2025)
by: Hua, Yuan, et al.
Published: (2025)
Full Integer Arithmetic Online Training for Spiking Neural Networks
by: Gomez, Ismael, et al.
Published: (2025)
by: Gomez, Ismael, et al.
Published: (2025)
TS-SNN: Temporal Shift Module for Spiking Neural Networks
by: Yu, Kairong, et al.
Published: (2025)
by: Yu, Kairong, et al.
Published: (2025)
Twin Network Augmentation: A Novel Training Strategy for Improved Spiking Neural Networks and Efficient Weight Quantization
by: Deckers, Lucas, et al.
Published: (2024)
by: Deckers, Lucas, et al.
Published: (2024)
Training Deep Normalization-Free Spiking Neural Networks with Lateral Inhibition
by: Liu, Peiyu, et al.
Published: (2025)
by: Liu, Peiyu, et al.
Published: (2025)
Spike Accumulation Forwarding for Effective Training of Spiking Neural Networks
by: Saiin, Ryuji, et al.
Published: (2023)
by: Saiin, Ryuji, et al.
Published: (2023)
Continuous-Time Neural Networks Can Stably Memorize Random Spike Trains
by: Aguettaz, Hugo, et al.
Published: (2024)
by: Aguettaz, Hugo, et al.
Published: (2024)
CogniSNN: An Exploration to Random Graph Architecture based Spiking Neural Networks with Enhanced Depth-Scalability and Path-Plasticity
by: Huang, Yongsheng, et al.
Published: (2025)
by: Huang, Yongsheng, et al.
Published: (2025)
Wafer2Spike: Spiking Neural Network for Wafer Map Pattern Classification
by: Mishra, Abhishek, et al.
Published: (2024)
by: Mishra, Abhishek, et al.
Published: (2024)
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
by: Chakraborty, Biswadeep, et al.
Published: (2024)
by: Chakraborty, Biswadeep, et al.
Published: (2024)
Bullet Trains: Parallelizing Training of Temporally Precise Spiking Neural Networks
by: Morrill, Todd, et al.
Published: (2026)
by: Morrill, Todd, et al.
Published: (2026)
Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity
by: Feng, Wanjin, et al.
Published: (2025)
by: Feng, Wanjin, et al.
Published: (2025)
Spiking Brain Compression: Post-Training Second-order Compression for Spiking Neural Networks
by: Shi, Lianfeng, et al.
Published: (2025)
by: Shi, Lianfeng, et al.
Published: (2025)
Sharpness Aware Surrogate Training for Spiking Neural Networks
by: Nicholson, Maximilian
Published: (2026)
by: Nicholson, Maximilian
Published: (2026)
Direct Training High-Performance Deep Spiking Neural Networks: A Review of Theories and Methods
by: Zhou, Chenlin, et al.
Published: (2024)
by: Zhou, Chenlin, et al.
Published: (2024)
BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation
by: Xu, Zekai, et al.
Published: (2024)
by: Xu, Zekai, et al.
Published: (2024)
Plug-and-Play Homeostatic Spark: Zero-Cost Acceleration for SNN Training Across Paradigms
by: Chen, Rui, et al.
Published: (2025)
by: Chen, Rui, et al.
Published: (2025)
Temporal Regularization Training: Unleashing the Potential of Spiking Neural Networks
by: Zhang, Boxuan, et al.
Published: (2025)
by: Zhang, Boxuan, et al.
Published: (2025)
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
by: Lv, Changze, et al.
Published: (2024)
by: Lv, Changze, et al.
Published: (2024)
SNN-PAR: Energy Efficient Pedestrian Attribute Recognition via Spiking Neural Networks
by: Wang, Haiyang, et al.
Published: (2024)
by: Wang, Haiyang, et al.
Published: (2024)
High-Performance Temporal Reversible Spiking Neural Networks with $O(L)$ Training Memory and $O(1)$ Inference Cost
by: Hu, JiaKui, et al.
Published: (2024)
by: Hu, JiaKui, et al.
Published: (2024)
Neural Architecture Search of Time-to-First-Spike-Coded Spiking Neural Networks for Efficient Eye-based Emotion Recognition
by: Liu, Qianhui, et al.
Published: (2025)
by: Liu, Qianhui, et al.
Published: (2025)
Similar Items
-
MD-SNN: Membrane Potential-aware Distillation on Quantized Spiking Neural Network
by: Lee, Donghyun, et al.
Published: (2025) -
Workload-Balanced Pruning for Sparse Spiking Neural Networks
by: Yin, Ruokai, et al.
Published: (2023) -
LoAS: Fully Temporal-Parallel Dataflow for Dual-Sparse Spiking Neural Networks
by: Yin, Ruokai, et al.
Published: (2024) -
Spiking Transformer with Spatial-Temporal Attention
by: Lee, Donghyun, et al.
Published: (2024) -
When In-memory Computing Meets Spiking Neural Networks -- A Perspective on Device-Circuit-System-and-Algorithm Co-design
by: Moitra, Abhishek, et al.
Published: (2024)