MIT HAN Lab

[MLSys 2021] IOS: Inter-Operator Scheduler for CNN Acceleration

mit-han-lab

A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computer...

mit-han-lab

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

mit-han-lab

[NeurIPS 2019, Spotlight] Point-Voxel CNN for Efficient 3D Deep Learning

mit-han-lab

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

mit-han-lab

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

mit-han-lab

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

mit-han-lab

[NeurIPS 2019] Deep Leakage From Gradients

mit-han-lab

[ICLR 2020] Lite Transformer with Long-Short Range Attention

mit-han-lab

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

mit-han-lab