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VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms.

, , , , , и . ICASSP, стр. 4900-4904. IEEE, (2021)

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M Tingart

Wen-tsi Ting

Dieter Tingelhoff

Hans Ting

Karl Tingwaldt

 

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Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference., , , и . ICLR, OpenReview.net, (2020)Dual Dynamic Inference: Enabling More Efficient, Adaptive and Controllable Deep Inference., , , , , , , и . CoRR, (2019)Good Students Play Big Lottery Better., , , , , и . CoRR, (2021)Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks., , , , , , и . IEEE Trans. Signal Inf. Process. over Networks, (2022)Learning Adaptive Hidden Layers for Mobile Gesture Recognition., , и . AAAI, стр. 6934-6942. AAAI Press, (2018)Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free., , , , , и . NeurIPS, (2020)VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms., , , , , и . ICASSP, стр. 4900-4904. IEEE, (2021)Undistillable: Making A Nasty Teacher That CANNOT teach students., , , , , и . ICLR, OpenReview.net, (2021)VGAI: A Vision-Based Decentralized Controller Learning Framework for Robot Swarms., , , , и . CoRR, (2020)A reliable brain computer interface implemented on an FPGA for a mobile dialing system., , , и . ISCAS, стр. 654-657. IEEE, (2014)