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Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning.

, , , , , , and . AAAI, page 16926-16934. AAAI Press, (2024)

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Reducing Information Loss for Spiking Neural Networks., , , , , , , and . CoRR, (2023)Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation., , , and . CoRL, volume 229 of Proceedings of Machine Learning Research, page 3809-3829. PMLR, (2023)Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks., , , , , , and . AAAI, page 12244-12252. AAAI Press, (2024)End-to-End Affordance Learning for Robotic Manipulation., , , , , and . CoRR, (2022)RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks., , , , , , , and . ICCV, page 17345-17355. IEEE, (2023)Event Observation of Date-time Stamps for ADS Reconstruction., , and . ICACT, page 552-557. IEEE, (2019)Deep Dive into Gradients: Better Optimization for 3D Object Detection with Gradient-Corrected IoU Supervision., , , , , , , and . CVPR, page 5136-5145. IEEE, (2023)MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand., , , , , , , , , and 19 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 233-250. PMLR, (2021)Zero-shot sim-to-real transfer of reinforcement learning framework for robotics manipulation with demonstration and force feedback., , , , and . Robotica, 41 (3): 1015-1024 (March 2023)NeuroCLIP: Neuromorphic Data Understanding by CLIP and SNN., , and . IEEE Signal Process. Lett., (2024)