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Temporal Contrastive Learning for Spiking Neural Networks., , , , , , , , and . CoRR, (2023)Auto-Spikformer: Spikformer Architecture Search., , , , , , , and . CoRR, (2023)Modality-Fusion Spiking Transformer Network for Audio-Visual Zero-Shot Learning., , , , and . ICME, page 426-431. IEEE, (2023)Mining Data from the Congressional Record., , , and . CoRR, (2019)A Hybrid Artificial Intelligence Model for Predicting the Strength of Foam-Cemented Paste Backfill., , , , , and . IEEE Access, (2020)Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning., , , , , and . ACM Multimedia, page 3994-4002. ACM, (2023)QKFormer: Hierarchical Spiking Transformer using Q-K Attention., , , , , , , , , and . CoRR, (2024)Binary stochasticity enabled highly efficient neuromorphic deep learning achieves better-than-software accuracy., , , , , , , , , and 6 other author(s). CoRR, (2023)Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation., , , , , , , and . CoRR, (2023)Deep recurrent spiking neural networks capture both static and dynamic representations of the visual cortex under movie stimuli., , , and . CoRR, (2023)