STF: Shallow-Level Temporal Feedback to Enhance Spiking Transformers
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Zeqi, Zhu, Zizheng, Yu, Yingchao, Huang, Yanchen, Lv, Changze, Tang, Junfeng, Yu, Zhaofei, Jin, Yaochu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition
by: Zheng, Zeqi, et al.
Published: (2025)
by: Zheng, Zeqi, et al.
Published: (2025)
TDFormer: A Top-Down Attention-Controlled Spiking Transformer
by: Zhu, Zizheng, et al.
Published: (2025)
by: Zhu, Zizheng, et al.
Published: (2025)
Spiking Convolutional Neural Networks for Text Classification
by: Lv, Changze, et al.
Published: (2024)
by: Lv, Changze, et al.
Published: (2024)
Toward Relative Positional Encoding in Spiking Transformers
by: Lv, Changze, et al.
Published: (2025)
by: Lv, Changze, et al.
Published: (2025)
IP$^{2}$-RSNN: Bi-level Intrinsic Plasticity Enables Learning-to-learn in Recurrent Spiking Neural Networks
by: Yu, Yingchao, et al.
Published: (2025)
by: Yu, Yingchao, et al.
Published: (2025)
Unleashing Temporal Capacity of Spiking Neural Networks through Spatiotemporal Separation
by: Dong, Yiting, et al.
Published: (2025)
by: Dong, Yiting, et al.
Published: (2025)
Autaptic Synaptic Circuit Enhances Spatio-temporal Predictive Learning of Spiking Neural Networks
by: Wang, Lihao, et al.
Published: (2024)
by: Wang, Lihao, 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)
A Latency Coding Framework for Deep Spiking Neural Networks with Ultra-Low Latency
by: Lu, Yi, et al.
Published: (2026)
by: Lu, Yi, et al.
Published: (2026)
PredNext: Explicit Cross-View Temporal Prediction for Unsupervised Learning in Spiking Neural Networks
by: Dong, Yiting, et al.
Published: (2025)
by: Dong, Yiting, 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)
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
by: Lv, Changze, et al.
Published: (2024)
by: Lv, Changze, et al.
Published: (2024)
Robust Stable Spiking Neural Networks
by: Ding, Jianhao, et al.
Published: (2024)
by: Ding, Jianhao, et al.
Published: (2024)
Parallel Training in Spiking Neural Networks
by: Huang, Yanbin, et al.
Published: (2026)
by: Huang, Yanbin, et al.
Published: (2026)
ShiftLIF: Efficient Multi-Level Spiking Neurons with Power-of-Two Quantization
by: Tang, Kaiwen, et al.
Published: (2026)
by: Tang, Kaiwen, et al.
Published: (2026)
SpikingResformer: Bridging ResNet and Vision Transformer in Spiking Neural Networks
by: Shi, Xinyu, et al.
Published: (2024)
by: Shi, Xinyu, et al.
Published: (2024)
Biologically Plausible Learning via Bidirectional Spike-Based Distillation
by: Lv, Changze, et al.
Published: (2025)
by: Lv, Changze, et al.
Published: (2025)
Frequency Matching in Spiking Neural Networks for mmWave Sensing
by: Yu, Di, et al.
Published: (2026)
by: Yu, Di, et al.
Published: (2026)
CaRe-BN: Precise Moving Statistics for Stabilizing Spiking Neural Networks in Reinforcement Learning
by: Xu, Zijie, et al.
Published: (2025)
by: Xu, Zijie, et al.
Published: (2025)
Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects
by: Ma, Chenxiang, et al.
Published: (2025)
by: Ma, Chenxiang, et al.
Published: (2025)
TEFormer: Structured Bidirectional Temporal Enhancement Modeling in Spiking Transformers
by: Shen, Sicheng, et al.
Published: (2026)
by: Shen, Sicheng, et al.
Published: (2026)
An Enhanced Differential Grouping Method for Large-Scale Overlapping Problems
by: Tian, Maojiang, et al.
Published: (2024)
by: Tian, Maojiang, et al.
Published: (2024)
Spiking Transformer with Spatial-Temporal Attention
by: Lee, Donghyun, et al.
Published: (2024)
by: Lee, Donghyun, et al.
Published: (2024)
General Self-Prediction Enhancement for Spiking Neurons
by: Huang, Zihan, et al.
Published: (2026)
by: Huang, Zihan, et al.
Published: (2026)
Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications
by: Bu, Tong, et al.
Published: (2024)
by: Bu, Tong, et al.
Published: (2024)
Proxy Target: Bridging the Gap Between Discrete Spiking Neural Networks and Continuous Control
by: Xu, Zijie, et al.
Published: (2025)
by: Xu, Zijie, et al.
Published: (2025)
Quantization Meets Spikes: Lossless Conversion in the First Timestep via Polarity Multi-Spike Mapping
by: Zhang, Hangming, et al.
Published: (2025)
by: Zhang, Hangming, et al.
Published: (2025)
A Novel Dual-Stage Evolutionary Algorithm for Finding Robust Solutions
by: Du, Wei, et al.
Published: (2024)
by: Du, Wei, et al.
Published: (2024)
Scaling Behaviors of Evolutionary Algorithms on GPUs: When Does Parallelism Pay Off?
by: Yu, Xinmeng, et al.
Published: (2026)
by: Yu, Xinmeng, et al.
Published: (2026)
Multidomain Evolutionary Optimization on Combinatorial Problems in Complex Networks
by: Zhao, Jie, et al.
Published: (2024)
by: Zhao, Jie, et al.
Published: (2024)
Spiking Wavelet Transformer
by: Fang, Yuetong, et al.
Published: (2024)
by: Fang, Yuetong, et al.
Published: (2024)
Combining Aggregated Attention and Transformer Architecture for Accurate and Efficient Performance of Spiking Neural Networks
by: Zhang, Hangming, et al.
Published: (2024)
by: Zhang, Hangming, et al.
Published: (2024)
Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation
by: Feng, Linghao, et al.
Published: (2024)
by: Feng, Linghao, 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)
Dendritic Localized Learning: Toward Biologically Plausible Algorithm
by: Lv, Changze, et al.
Published: (2025)
by: Lv, Changze, et al.
Published: (2025)
EmoDM: A Diffusion Model for Evolutionary Multi-objective Optimization
by: Yan, Xueming, et al.
Published: (2024)
by: Yan, Xueming, 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)
Spatial-Temporal Search for Spiking Neural Networks
by: Che, Kaiwei, et al.
Published: (2024)
by: Che, Kaiwei, et al.
Published: (2024)
Ge$^\text{2}$mS-T: Multi-Dimensional Grouping for Ultra-High Energy Efficiency in Spiking Transformer
by: Hao, Zecheng, et al.
Published: (2026)
by: Hao, Zecheng, et al.
Published: (2026)
Spatio-Temporal Decoupled Learning for Spiking Neural Networks
by: Ma, Chenxiang, et al.
Published: (2025)
by: Ma, Chenxiang, et al.
Published: (2025)
Similar Items
-
SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition
by: Zheng, Zeqi, et al.
Published: (2025) -
TDFormer: A Top-Down Attention-Controlled Spiking Transformer
by: Zhu, Zizheng, et al.
Published: (2025) -
Spiking Convolutional Neural Networks for Text Classification
by: Lv, Changze, et al.
Published: (2024) -
Toward Relative Positional Encoding in Spiking Transformers
by: Lv, Changze, et al.
Published: (2025) -
IP$^{2}$-RSNN: Bi-level Intrinsic Plasticity Enables Learning-to-learn in Recurrent Spiking Neural Networks
by: Yu, Yingchao, et al.
Published: (2025)