quantization topic
tinyengine
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 256K...
learning-to-quantize
Code for "Adaptive Gradient Quantization for Data-Parallel SGD", published in NeurIPS 2020.
BARVINN
BARVINN: A Barrel RISC-V Neural Network Accelerator: https://barvinn.readthedocs.io/en/latest/
QualcommAI-MicroNet-submission-MixNet
3rd place solution for NeurIPS 2019 MicroNet challenge
lixinger-openapi
理杏仁开发平台python api(非官方)
SSQL-ECCV2022
PyTorch implementation of SSQL (Accepted to ECCV2022 oral presentation)
mmn
Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks
neurips-micronet
[JMLR'20] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion
ATMC
[NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”