MIT HAN Lab
MIT HAN Lab
amc
[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices
spvnas
[ECCV 2020] Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
gan-compression
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
anycost-gan
[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
temporal-shift-module
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
proxylessnas
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
hardware-aware-transformers
[ACL'20] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
data-efficient-gans
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
once-for-all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
torchsparse
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.