SPARTA: Advancing Sparse Attention in Spiking Neural Networks via Spike-Timing-Based Prioritization
Fuente:
arXiv
Saved in:
| Main Authors: | Jang, Minsuk, Kim, Changick |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Spiking Neural Network Architecture Search: A Survey
by: Svoboda, Kama, et al.
Published: (2025)
by: Svoboda, Kama, et al.
Published: (2025)
PC-SNN: Predictive Coding-based Local Hebbian Plasticity Learning in Spiking Neural Networks
by: Wang, Haidong, et al.
Published: (2022)
by: Wang, Haidong, et al.
Published: (2022)
Accelerating Model-Based Reinforcement Learning with State-Space World Models
by: Krinner, Maria, et al.
Published: (2025)
by: Krinner, Maria, et al.
Published: (2025)
Alternating Gradient Flow Utility: A Unified Metric for Structural Pruning and Dynamic Routing in Deep Networks
by: Qian, Tianhao, et al.
Published: (2026)
by: Qian, Tianhao, et al.
Published: (2026)
BMR and BWR: Two simple metaphor-free optimization algorithms for solving real-life non-convex constrained and unconstrained problems
by: Rao, Ravipudi Venkata, et al.
Published: (2024)
by: Rao, Ravipudi Venkata, et al.
Published: (2024)
Extending Spike-Timing Dependent Plasticity to Learning Synaptic Delays
by: Dominijanni, Marissa, et al.
Published: (2025)
by: Dominijanni, Marissa, et al.
Published: (2025)
Learn&Drop: Fast Learning of CNNs based on Layer Dropping
by: Cruciata, Giorgio, et al.
Published: (2026)
by: Cruciata, Giorgio, et al.
Published: (2026)
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)
Reward-Modulated Local Learning in Spiking Encoders: Controlled Benchmarks with STDP and Hybrid Rate Readouts
by: Chakraborty, Debjyoti
Published: (2026)
by: Chakraborty, Debjyoti
Published: (2026)
Controlling Recurrent Neural Networks by Conceptors
by: Jaeger, Herbert
Published: (2014)
by: Jaeger, Herbert
Published: (2014)
Spiking Neural Networks for event-based action recognition: A new task to understand their advantage
by: Vicente-Sola, Alex, et al.
Published: (2022)
by: Vicente-Sola, Alex, et al.
Published: (2022)
Object-centric proto-symbolic behavioural reasoning from pixels
by: van Bergen, Ruben, et al.
Published: (2024)
by: van Bergen, Ruben, et al.
Published: (2024)
Neuromorphic Parameter Estimation for Power Converter Health Monitoring Using Spiking Neural Networks
by: Baik, Hyeongmeen, et al.
Published: (2026)
by: Baik, Hyeongmeen, et al.
Published: (2026)
A Technical Note on the Architectural Effects on Maximum Dependency Lengths of Recurrent Neural Networks
by: Kent, Jonathan S., et al.
Published: (2024)
by: Kent, Jonathan S., et al.
Published: (2024)
Evolved Developmental Artificial Neural Networks for Multitasking with Advanced Activity Dependence
by: Zhang, Yintong, et al.
Published: (2024)
by: Zhang, Yintong, et al.
Published: (2024)
Collapse or Preserve: Data-Dependent Temporal Aggregation for Spiking Neural Network Acceleration
by: Qin, Jiahao
Published: (2026)
by: Qin, Jiahao
Published: (2026)
NeurOptimisation: The Spiking Way to Evolve
by: Cruz-Duarte, Jorge Mario, et al.
Published: (2025)
by: Cruz-Duarte, Jorge Mario, et al.
Published: (2025)
Navigating Simply, Aligning Deeply: Winning Solutions for Mouse vs. AI 2025
by: Pham, Phu-Hoa, et al.
Published: (2026)
by: Pham, Phu-Hoa, et al.
Published: (2026)
EdgeSpike: Spiking Neural Networks for Low-Power Autonomous Sensing in Edge IoT Architectures
by: Lundstrom-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson, et al.
Published: (2026)
by: Lundstrom-Imanov, Gustav Olaf Yunus Laitinen-Fredriksson, et al.
Published: (2026)
Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later
by: Wang, Binxu, et al.
Published: (2023)
by: Wang, Binxu, et al.
Published: (2023)
Detecting AI-Generated Videos with Spiking Neural Networks
by: Jang, Minsuk, et al.
Published: (2026)
by: Jang, Minsuk, et al.
Published: (2026)
Eventprop training for efficient neuromorphic applications
by: Shoesmith, Thomas, et al.
Published: (2025)
by: Shoesmith, Thomas, et al.
Published: (2025)
Three-Factor Learning in Spiking Neural Networks: An Overview of Methods and Trends from a Machine Learning Perspective
by: Mazurek, Szymon, et al.
Published: (2025)
by: Mazurek, Szymon, et al.
Published: (2025)
EduFlow: Advancing MLLMs' Problem-Solving Proficiency through Multi-Stage, Multi-Perspective Critique
by: Zhu, Chenglin, et al.
Published: (2025)
by: Zhu, Chenglin, et al.
Published: (2025)
From Basic Affordances to Symbolic Thought: A Computational Phylogenesis of Biological Intelligence
by: Hummel, John E., et al.
Published: (2025)
by: Hummel, John E., et al.
Published: (2025)
Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight
by: Romero, Angel, et al.
Published: (2025)
by: Romero, Angel, et al.
Published: (2025)
Multi-Marginal Stochastic Flow Matching for High-Dimensional Snapshot Data at Irregular Time Points
by: Lee, Justin, et al.
Published: (2025)
by: Lee, Justin, et al.
Published: (2025)
Toward Thermodynamic Reservoir Computing: Exploring SHA-256 ASICs as Potential Physical Substrates
by: de Lafuente, Francisco Angulo, et al.
Published: (2026)
by: de Lafuente, Francisco Angulo, et al.
Published: (2026)
Inducing Semi-Structured Sparsity by Masking for Efficient Model Inference in Convolutional Networks
by: Danhofer, David A.
Published: (2024)
by: Danhofer, David A.
Published: (2024)
Sample as You Infer: Predictive Coding With Langevin Dynamics
by: Zahid, Umais, et al.
Published: (2023)
by: Zahid, Umais, et al.
Published: (2023)
ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data
by: Martin-Turrero, Carmen, et al.
Published: (2024)
by: Martin-Turrero, Carmen, et al.
Published: (2024)
Constructing the Umwelt: Cognitive Planning through Belief-Intent Co-Evolution
by: Sang, Shiyao
Published: (2025)
by: Sang, Shiyao
Published: (2025)
Towards Scaling Deep Neural Networks with Predictive Coding: Theory and Practice
by: Innocenti, Francesco
Published: (2025)
by: Innocenti, Francesco
Published: (2025)
Closed-Loop Neural Activation Control in Vision-Language-Action Models
by: Babu, Abhijith, et al.
Published: (2026)
by: Babu, Abhijith, et al.
Published: (2026)
Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies
by: Bird, George
Published: (2026)
by: Bird, George
Published: (2026)
Searching Search Spaces: Meta-evolving a Geometric Encoding for Neural Networks
by: Kunze, Tarek, et al.
Published: (2024)
by: Kunze, Tarek, et al.
Published: (2024)
Spiking Sequence Machines and Transformers
by: Bose, Joy
Published: (2026)
by: Bose, Joy
Published: (2026)
AGOP as Explanation: From Feature Learning to Per-Sample Attribution in Image Classifiers
by: Katakam, Raj Kiran Gupta
Published: (2026)
by: Katakam, Raj Kiran Gupta
Published: (2026)
Theoretical Analysis of the Advantage of Deepening Neural Networks
by: Esaki, Yasushi, et al.
Published: (2020)
by: Esaki, Yasushi, et al.
Published: (2020)
Self-Distillation Learning Based on Temporal-Spatial Consistency for Spiking Neural Networks
by: Zuo, Lin, et al.
Published: (2024)
by: Zuo, Lin, et al.
Published: (2024)
Similar Items
-
Spiking Neural Network Architecture Search: A Survey
by: Svoboda, Kama, et al.
Published: (2025) -
PC-SNN: Predictive Coding-based Local Hebbian Plasticity Learning in Spiking Neural Networks
by: Wang, Haidong, et al.
Published: (2022) -
Accelerating Model-Based Reinforcement Learning with State-Space World Models
by: Krinner, Maria, et al.
Published: (2025) -
Alternating Gradient Flow Utility: A Unified Metric for Structural Pruning and Dynamic Routing in Deep Networks
by: Qian, Tianhao, et al.
Published: (2026) -
BMR and BWR: Two simple metaphor-free optimization algorithms for solving real-life non-convex constrained and unconstrained problems
by: Rao, Ravipudi Venkata, et al.
Published: (2024)