energy-efficient computing

Rethinking SNN Online Training and Deployment: Gradient-Coherent Learning via Hybrid-Driven LIF Model CVPR 2026 Spatial-Frequency Spiking Neural Network for Underwater Object Detection AAAI 2026 Efficient Spiking Point Mamba for Point Cloud Analysis ICCV 2025 MSVIT: Improving Spiking Vision Transformer Using Multi-scale Attention Fusion IJCAI 2025 Running Conventional Automatic Speech Recognition on Memristor Hardware: A Simulated Approach Interspeech 2025 SpikePack: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility ICCV 2025 Spiking Point Transformer for Point Cloud Classification AAAI 2025 Spiking Transformer: Introducing Accurate Addition-Only Spiking Self-Attention for Transformer CVPR 2025 Spiking Transformer with Spatial-Temporal Attention CVPR 2025 A fast algorithm to simulate nonlinear resistive networks ICML 2024 Energy-Efficient Missing Data Imputation in Wearable Health Applications: A Classifier-aware Statistical Approach IJCAI 2024 Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover NeurIPS 2024 Enabling ISPless Low-Power Computer Vision WACV 2023 Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks NeurIPS 2023 Spikformer: When Spiking Neural Network Meets Transformer ICLR 2023 Spiking PointNet: Spiking Neural Networks for Point Clouds NeurIPS 2023 Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency ACML 2023 AdderSR: Towards Energy Efficient Image Super-Resolution CVPR 2021 Energy-Friendly Keyword Spotting System Using Add-Based Convolution Interspeech 2021 HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training With Crafted Input Noise ICCV 2021