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HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology.

, , , , , , , , , и . ACM Trans. Embed. Comput. Syst., 20 (5s): 66:1-66:25 (2021)

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Naveen

Naveen Kumar

Sallagundala Nagaraja

Shishir Nagaraja

Shankar Vembu

 

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Latent Field Discovery In Interacting Dynamical Systems With Neural Fields., , , и . CoRR, (2023)HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology., , , , , , , , , и . ACM Trans. Embed. Comput. Syst., 20 (5s): 66:1-66:25 (2021)Investigating Binary Neural Networks for Traffic Sign Detection and Recognition., , , , , , , и . IV, стр. 1400-1405. IEEE, (2021)L2PF - Learning to Prune Faster., , , , , , , , и . CVIP (3), том 1378 из Communications in Computer and Information Science, стр. 249-261. Springer, (2020)Accelerating and pruning CNNs for semantic segmentation on FPGA., , , , , , , , , и 1 other автор(ы). DAC, стр. 145-150. ACM, (2022)Social navigation with human empowerment driven reinforcement learning., , , и . CoRR, (2020)Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving., , , , , , и . ICRA, стр. 2295-2301. IEEE, (2020)Recurrent Models for Lane Change Prediction and Situation Assessment., , , , и . IEEE Trans. Intell. Transp. Syst., 23 (10): 17284-17300 (2022)Adversarial Robust Model Compression Using In-Train Pruning., , , , , , , , , и 2 other автор(ы). CVPR Workshops, стр. 66-75. Computer Vision Foundation / IEEE, (2021)ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks., , , , , , и . DAC, стр. 1-6. IEEE, (2020)