Alternatives and similar repositories for SelectiveBackprop

Users that are interested in SelectiveBackprop are comparing it to the libraries listed below

• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• BayesWatch / pytorch-blockswap
  Code for BlockSwap (ICLR 2020).
  ☆33Updated 4 years ago
• renqianluo / GBDT-NAS
  GBDT-NAS
  ☆28Updated 3 years ago
• xiezheng-cs / DTQ
  PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)
  ☆18Updated 3 years ago
• shuyao95 / Understanding-NAS
  Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search
  ☆27Updated 5 years ago
• YuchenJin / autolrs
  Automatic learning-rate scheduler
  ☆45Updated 4 years ago
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 6 years ago
• gatech-sysml / CompOFA
  [ICLR 2021] CompOFA: Compound Once-For-All Networks For Faster Multi-Platform Deployment
  ☆24Updated 2 years ago
• VITA-Group / Lifelong-Learning-LTH
  [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…
  ☆25Updated 3 years ago
• jiaweizzhao / signSGD-with-Majority-Vote
  ☆75Updated 6 years ago
• liamcli / darts_asha
  Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."
  ☆22Updated 5 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 2 years ago
• hrayrhar / limit-label-memorization
  Improving generalization by controlling label-noise information in neural network weights.
  ☆40Updated 4 years ago
• Torment123 / DFS
  ☆15Updated 5 years ago
• XinbangZhang / DATA-NAS
  Codes for DATA: Differentiable ArchiTecture Approximation.
  ☆11Updated 3 years ago
• uclaml / Padam
  Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …
  ☆39Updated 2 years ago
• VITA-Group / ATMC
  [NeurIPS'2019] Shupeng Gui, Haotao Wang, Haichuan Yang, Chen Yu, Zhangyang Wang, Ji Liu, “Model Compression with Adversarial Robustness: …
  ☆50Updated 3 years ago
• MadryLab / dataset-replication-analysis
  ☆25Updated 5 years ago
• VITA-Group / CV_LTH_Pre-training
  [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…
  ☆69Updated 2 years ago
• GATECH-EIC / E2Train
  [NeurIPS 2019] E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy
  ☆21Updated 5 years ago
• houlu369 / Loss-aware-weight-quantization
  Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"
  ☆26Updated 5 years ago
• houlu369 / Loss-aware-Binarization
  Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"
  ☆18Updated 6 years ago
• xternalz / SDPoint
  Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
  ☆18Updated 5 years ago
• haolibai / APS-channel-search
  Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020
  ☆21Updated 4 years ago
• szq0214 / CMC_with_Image_Mixture
  pytorch implementation of "Contrastive Multiview Coding", "Momentum Contrast for Unsupervised Visual Representation Learning", and "Unsup…
  ☆18Updated 5 years ago
• ChristopherSweeney / SlimNets
  Various implementations and experimentation for deep neural network model compression
  ☆24Updated 6 years ago
• noahgolmant / pytorch-lars
  "Layer-wise Adaptive Rate Scaling" in PyTorch
  ☆87Updated 4 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 5 years ago
• LaVieEnRoseSMZ / OQA
  ☆28Updated 4 years ago
• EkdeepSLubana / flowandprune
  Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"
  ☆21Updated 4 years ago