haolibai / Cross-Distillation

Related projects: ⓘ

• zju-vipa / NetGraft
  The implementation of AAAI 2021 Paper: "Progressive Network Grafting for Few-Shot Knowledge Distillation".
  ☆31Updated last month
• LTH14 / FSKD
  ☆29Updated 4 years ago
• mary-phuong / multiexit-distillation
  ☆22Updated 4 years ago
• VITA-Group / WeakNAS
  [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…
  ☆27Updated last year
• xiusu / NAS-Bench-Macro
  NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021
  ☆38Updated 3 years ago
• chenbong / awesome-compression-papers
  Paper collection about model compression and acceleration: Pruning, Quantization, Knowledge Distillation, Low Rank Factorization, etc
  ☆23Updated 3 years ago
• YOUSIKI / PyTorch-FBS
  A PyTorch Implementation of Feature Boosting and Suppression
  ☆16Updated 4 years ago
• da2so / Data-Free_Network_Quantization_With_Adversarial_Knowledge_Distillation
  Data-Free Network Quantization With Adversarial Knowledge Distillation PyTorch
  ☆29Updated 3 years ago
• chenyaofo / CTNAS
  [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators
  ☆39Updated 2 years ago
• xiangning-chen / DrNAS
  Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"
  ☆42Updated 3 years ago
• gistvision / bnas
  Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)
  ☆26Updated 3 years ago
• kalviny / IMTA
  ☆47Updated 4 years ago
• haolibai / APS-channel-search
  Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020
  ☆20Updated 3 years ago
• selkerdawy / filter-vs-layer-pruning
  ☆10Updated 3 years ago
• deathboydmi / DynamicChannelPruning
  Dynamic Channel Pruning: Feature Boosting and Suppression
  ☆17Updated 5 years ago
• AnTuo1998 / AE-KD
  ☆26Updated 3 years ago
• EkdeepSLubana / flowandprune
  Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"
  ☆21Updated 3 years ago
• MingSun-Tse / Smile-Pruning
  A generic code base for neural network pruning, especially for pruning at initialization.
  ☆30Updated 2 years ago
• zyxxmu / lottery-jackpots
  Pytorch implementation of our paper accepted by TPAMI 2023 — Lottery Jackpots Exist in Pre-trained Models
  ☆31Updated last year
• VITA-Group / SFW-Once-for-All-Pruning
  [ICLR 2022] "Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining" by Lu Miao*, Xiaolong Luo*, T…
  ☆29Updated 2 years ago
• DingXiaoH / GSM-SGD
  Global Sparse Momentum SGD for pruning very deep neural networks
  ☆43Updated 2 years ago
• MAC-AutoML / PCL_AutoML_System
  ☆10Updated 3 years ago
• nabk89 / NAS-with-Proxy-data
  Official code of "NAS acceleration via proxy data", IJCAI21
  ☆10Updated 2 years ago
• VITA-Group / SViTE
  [NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang…
  ☆90Updated 9 months ago
• MAC-AutoML / ITPruner
  ☆22Updated 2 years ago
• DefangChen / OKDDip
  [AAAI-2020] Official implementation for "Online Knowledge Distillation with Diverse Peers".
  ☆72Updated last year
• csyhhu / MetaQuant
  Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
  ☆55Updated 4 years ago
• VITA-Group / UVC
  [ICLR 2022] "Unified Vision Transformer Compression" by Shixing Yu*, Tianlong Chen*, Jiayi Shen, Huan Yuan, Jianchao Tan, Sen Yang, Ji Li…
  ☆45Updated 9 months ago
• AIoT-MLSys-Lab / CATE
  [ICML 2021 Oral] "CATE: Computation-aware Neural Architecture Encoding with Transformers" by Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang
  ☆19Updated 3 years ago
• aptsunny / Ensemble-One-Shot-NAS
  Automated neural architecture search algorithms implemented in PyTorch and Autogluon toolkit.
  ☆12Updated 4 years ago