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MIT HAN Lab's Projects

amc icon amc

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

amc-models icon amc-models

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

anycost-gan icon anycost-gan

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

apq icon apq

[CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy

bevfusion icon bevfusion

[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

distrifuser icon distrifuser

[CVPR 2024 Highlight] DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models

dlg icon dlg

[NeurIPS 2019] Deep Leakage From Gradients

e3d icon e3d

Efficient 3D Deep Learning

efficientvit icon efficientvit

EfficientViT is a new family of vision models for efficient high-resolution vision.

fastcomposer icon fastcomposer

FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention

flatformer icon flatformer

[CVPR'23] FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer

gan-compression icon gan-compression

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

haq icon haq

[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

iccad-tinyml-open icon iccad-tinyml-open

[ICCAD'22 TinyML Contest] Efficient Heart Stroke Detection on Low-cost Microcontrollers

litepose icon litepose

[CVPR'22] Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation

llm-awq icon llm-awq

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

mcunet icon mcunet

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

mmpose icon mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

neurips-micronet icon neurips-micronet

[JMLR'20] NeurIPS 2019 MicroNet Challenge Efficient Language Modeling, Champion

once-for-all icon once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

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