Alternatives and similar repositories for complex-grad-norm

Users that are interested in complex-grad-norm are comparing it to the libraries listed below

• szkocot / Adapting-Auxiliary-Losses-Using-Gradient-Similarity
  Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article
  ☆32Updated 6 years ago
• XinbangZhang / DATA-NAS
  Codes for DATA: Differentiable ArchiTecture Approximation.
  ☆11Updated 3 years ago
• ZichenMiao / L3Net
  ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters
  ☆15Updated 4 years ago
• Jiaolong / ss-da-consistency
  Self-Supervised Domain Adaptation with Consistency Training
  ☆19Updated 4 years ago
• kaung-htet-myat / Multi-teachers-Knowledge-Distillation
  Distilling knowledge from ensemble of multiple teacher networks to student network with multiple heads
  ☆8Updated 3 years ago
• jhoon-oh / kd_data
  IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"
  ☆41Updated 2 years ago
• MetaLearners / Solution-to-CVPR2021-NAS-competition-Track-1
  ☆13Updated 3 years ago
• xjtushujun / Meta-weight-net_class-imbalance
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).
  ☆33Updated 5 years ago
• vinodkkurmi / DiscriminatorDomainAdaptation
  ☆10Updated 5 years ago
• SJLeo / FFSD
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 -- Distilling a Powerful Student Model via Online Knowledge Distillation
  ☆28Updated 3 years ago
• PaulAlbert31 / ReLaB
  Official repository for Reliable Label Bootstrapping
  ☆19Updated 2 years ago
• megvii-model / RLNAS
  ☆20Updated 2 years ago
• Chenglin-Yang / LESA
  Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms
  ☆20Updated 3 years ago
• MGoibert / Label_smoothing
  Code for the paper Adversarial Robustness via Adversarial Label-Smoothing
  ☆11Updated 5 years ago
• oscarkey / multitask-learning
  MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, …
  ☆89Updated 5 years ago
• yingrliu / TAAN-MTL
  Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning
  ☆17Updated 5 years ago
• bhanML / SIGUA
  ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
  ☆15Updated 4 years ago
• gbup-group / EAN-efficient-attention-network
  The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.
  ☆20Updated 2 years ago
• sungyubkim / DVIB
  A pytorch implementation of DVIB(Deep Variational Information Bottleneck)
  ☆9Updated 6 years ago
• yaohungt / Self_Supervised_Learning_Multiview
  ☆42Updated 5 years ago
• Jongchan / unsupervised_data_augmentation_pytorch
  A PyTorch implementation for Unsupervised Data Augmentation
  ☆23Updated 2 years ago
• safpla / AutoLossRelease
  ☆19Updated 6 years ago
• passalis / pkth
  Implementation of the Heterogeneous Knowledge Distillation using Information Flow Modeling method
  ☆25Updated 5 years ago
• Lifelong-ML / LASEM
  Code for the ICML 2021 paper "Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer"
  ☆11Updated 3 years ago
• minicheshire / InResNet
  Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749
  ☆26Updated 4 years ago
• VITA-Group / MAK
  [NeurIPS 2021] “Improving Contrastive Learning on Imbalanced Data via Open-World Sampling”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangya…
  ☆28Updated 3 years ago
• fmcarlucci / ADAGE
  Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"
  ☆11Updated 5 years ago
• thuml / StochNorm
  Code release for NeurIPS 2020 paper "Stochastic Normalization"
  ☆23Updated 3 years ago
• weigq / neurips2021_stats
  ☆35Updated 3 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago