artificial neural network

A Closer Look at Knowledge Distillation in Spiking Neural Network Training AAAI 2026 Bi-Spectrum Distillation: Addressing Spectral Mismatch in ANN-SNN Knowledge Transfer AAAI 2026 Spiking-Aided Neural Architecture for Efficient and Robust WiFi Sensing AAAI 2026 Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks AAAI 2025 Efficient Event-Based Object Detection: A Hybrid Neural Network with Spatial and Temporal Attention CVPR 2025 Efficient Event-Based Semantic Segmentation via Exploiting Frame-Event Fusion: A Hybrid Neural Network Approach AAAI 2025 Exploring Topological Properties in Artificial Neural Networks AAAI 2025 From Talking and Listening Devices to Intelligent Communicative Machines Interspeech 2025 Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications CVPR 2025 On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis UAI 2025 Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks CVPR 2025 Are Conventional SNNs Really Efficient? A Perspective from Network Quantization CVPR 2024 EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature NeurIPS 2024 HALSIE: Hybrid Approach to Learning Segmentation by Simultaneously Exploiting Image and Event Modalities WACV 2024 LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model NeurIPS 2024 Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture ICML 2024 Spiking Neural Network as Adaptive Event Stream Slicer NeurIPS 2024 Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation CVPR 2023 Probing Neural Representations of Scene Perception in a Hippocampally Dependent Task Using Artificial Neural Networks CVPR 2023 Strong and Precise Modulation of Human Percepts via Robustified ANNs NeurIPS 2023 SpikeConverter: An Efficient Conversion Framework Zipping the Gap between Artificial Neural Networks and Spiking Neural Networks AAAI 2022 A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration ICML 2021 Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units ICLR 2021 OTEANN: Estimating the Transparency of Orthographies with an Artificial Neural Network NAACL 2021 Semantic Aware Data Augmentation for Cell Nuclei Microscopical Images With Artificial Neural Networks ICCV 2021