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FIXAR: A Fixed-Point Deep Reinforcement Learning Platform with Quantization-Aware Training and Adaptive Parallelism., , and . DAC, page 259-264. IEEE, (2021)On the Robustness of Normalizing Flows for Inverse Problems in Imaging., , and . ICCV, page 10711-10721. IEEE, (2023)Automated Neural Network Accelerator Generation Framework for Multiple Neural Network Applications., , , and . TENCON, page 2287-2290. IEEE, (2018)NN compactor: Minimizing memory and logic resources for small neural networks., , and . DATE, page 581-584. IEEE, (2018)Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report., , , , , , , , , and 29 other author(s). ECCV Workshops (3), volume 13803 of Lecture Notes in Computer Science, page 71-91. Springer, (2022)Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report., , , , , , , , , and 86 other author(s). ECCV Workshops (3), volume 13803 of Lecture Notes in Computer Science, page 92-129. Springer, (2022)Neural Diffeomorphic Non-uniform B-spline Flows., and . AAAI, page 12225-12233. AAAI Press, (2023)On Exact Inversion of DPM-Solvers., , , , and . CoRR, (2023)HyperAccel Latency Processing Unit (LPUTM) Accelerating Hyperscale Models for Generative AI., , , , , , and . HCS, page 1. IEEE, (2023)A FPGA-based neural accelerator for small IoT devices., and . ISOCC, page 294-295. IEEE, (2017)