Pinned Repositories
AutoDNNchip
BNS-GCN
[MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling" by Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin
Early-Bird-Tickets
[ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
Edge-LLM
[DAC 2024] EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting
GCoD
[HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
HW-NAS-Bench
[ICLR 2021] HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
mg-verilog
ShiftAddLLM
ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
ShiftAddNet
[NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network
ViTCoD
[HPCA 2023] ViTCoD: Vision Transformer Acceleration via Dedicated Algorithm and Accelerator Co-Design
EIC@GaTech's Repositories
GATECH-EIC/Early-Bird-Tickets
[ICLR 2020] Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
GATECH-EIC/ShiftAddNet
[NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network
GATECH-EIC/AutoDNNchip
GATECH-EIC/GCoD
[HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
GATECH-EIC/Patch-Fool
[ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, and Yingyan (Celine) Lin.
GATECH-EIC/E2Train
[NeurIPS 2019] E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy
GATECH-EIC/Auto-NBA
[ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yongan Zhang, Yang Zhang, David Cox, Yingyan Lin
GATECH-EIC/Double-Win-Quant
[ICML 2021] "Double-Win Quant: Aggressively Winning Robustness of Quantized DeepNeural Networks via Random Precision Training and Inference" by Yonggan Fu, Qixuan Yu, Meng Li, Vikas Chandra, Yingyan Lin
GATECH-EIC/Robust-Scratch-Ticket
[NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David Cox, Yingyan Lin
GATECH-EIC/FracTrain
[NeurIPS 2020] "FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training" by Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin
GATECH-EIC/SACoD
[ICCV 2021] "SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam" by Yonggan Fu, Yang Zhang, Yue Wang, Zhihan Lu, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin
GATECH-EIC/InstantNet
[DAC 2021] "InstantNet: Automated Generation and Deployment of Instantaneously Switchable-Precision Networks" by Yonggan Fu, Zhongzhi Yu, Yongan Zhang, Yifan Jiang, Chaojian Li, Yongyuan Liang, Mingchao Jiang, Zhangyang Wang, Yingyan Lin
GATECH-EIC/AGD
[ICML2020] "AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks" by Yonggan Fu, Wuyang Chen, Haotao Wang, Haoran Li, Yingyan Lin, Zhangyang Wang
GATECH-EIC/MIA-Former
[Preprint] "MIA-Former: Efficient and Robust Vision Transformers via Multi-grained Input Adaptation" by Zhongzhi Yu, Yonggan Fu, Sicheng Li, Chaojian Li, Yingyan Lin