SpikeMoE: Brain-Inspired Competitive Routing for Flexible Spiking Mixture-of-Experts
cs.AI
Submitted: 2026-10-01
Updated: 2026-10-06
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Enhancing Audio-Visual Spiking Neural Networks through Semantic-Alignment and Cross-Modal Residual Learning
- Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
- Event-Driven Learning for Spiking Neural Networks
- Deep Multimodal Learning with Missing Modality: A Survey
- SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms
- Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
- MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos
- Tensor Fusion Network for Multimodal Sentiment Analysis
- Spikingformer: A Key Foundation Model for Spiking Neural Networks
- Spikformer: When Spiking Neural Network Meets Transformer
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- Agents' Last Exam
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems