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conftrace_

surrogate gradient

42 papers

SG

Papers

DS-ATGO: Dual-Stage Synergistic Learning via Forward Adaptive Threshold and Backward Gradient Optimization for Spiking Neural Networks AAAI 2026 MPD-SGR: Robust Spiking Neural Networks with Membrane Potential Distribution-Driven Surrogate Gradient Regularization AAAI 2026 Rethinking SNN Online Training and Deployment: Gradient-Coherent Learning via Hybrid-Driven LIF Model CVPR 2026 Stabilizing Direct Training of Spiking Neural Networks: Membrane Potential Initialization and Threshold-robust Surrogate Gradient WACV 2026 Adaptive Gradient Learning for Spiking Neural Networks by Exploiting Membrane Potential Dynamics IJCAI 2025 DeepTAGE: Deep Temporal-Aligned Gradient Enhancement for Optimizing Spiking Neural Networks ICLR 2025 ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks IJCAI 2025 Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency ICLR 2025 P-SPIKESSM: HARNESSING PROBABILISTIC SPIKING STATE SPACE MODELS FOR LONG-RANGE DEPENDENCY TASKS ICLR 2025 Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients CVPR 2025 Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation NeurIPS 2024 A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model ICLR 2024 CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks ICML 2024 NDOT: Neuronal Dynamics-based Online Training for Spiking Neural Networks ICML 2024 Online Stabilization of Spiking Neural Networks ICLR 2024 Shrinking Your TimeStep: Towards Low-Latency Neuromorphic Object Recognition with Spiking Neural Networks AAAI 2024 Take A Shortcut Back: Mitigating the Gradient Vanishing for Training Spiking Neural Networks NeurIPS 2024 Adaptive Smoothing Gradient Learning for Spiking Neural Networks ICML 2023 A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates ICML 2023 Deep Directly-Trained Spiking Neural Networks for Object Detection ICCV 2023 Direct Training of SNN using Local Zeroth Order Method NeurIPS 2023 EICIL: Joint Excitatory Inhibitory Cycle Iteration Learning for Deep Spiking Neural Networks NeurIPS 2023 Learnable Surrogate Gradient for Direct Training Spiking Neural Networks IJCAI 2023 Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks CVPR 2023 Spiking Convolutional Neural Networks for Text Classification ICLR 2023