model-compression topic
awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (pape...
ATMC
[NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: A Unified Optimization Framework”
PrAC-LTH
[ICML 2021] "Efficient Lottery Ticket Finding: Less Data is More" by Zhenyu Zhang*, Xuxi Chen*, Tianlong Chen*, Zhangyang Wang
DLCV2018SPRING
Deep Learning for Computer Vision (CommE 5052) in NTU
super-structured-lottery-tickets
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization (ACL 2021)
LTP
[KDD'22] Learned Token Pruning for Transformers
Q-ASR
[ICASSP'22] Integer-only Zero-shot Quantization for Efficient Speech Recognition
squeezer
Lightweight knowledge distillation pipeline
only_train_once_personal_footprint
OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM
CV_DL_Gather
Gather research papers, corresponding codes (if having), reading notes and any other related materials about Hot🔥🔥🔥 fields in Computer Vision based on Deep Learning.