brianlan / complex-grad-norm

Related projects ⓘ

Alternatives and complementary repositories for complex-grad-norm

• szkocot / Adapting-Auxiliary-Losses-Using-Gradient-Similarity
  Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article
  ☆32Updated 5 years ago
• yingrliu / TAAN-MTL
  Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning
  ☆17Updated 4 years ago
• DequanWang / weightnet.pytorch
  WeightNet: Revisiting the Design Space of Weight Networks
  ☆18Updated 3 years ago
• megvii-model / RLNAS
  ☆19Updated last year
• thuml / StochNorm
  Code release for NeurIPS 2020 paper "Stochastic Normalization"
  ☆23Updated 2 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).
  ☆34Updated 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
• XinbangZhang / DATA-NAS
  Codes for DATA: Differentiable ArchiTecture Approximation.
  ☆11Updated 3 years ago
• gbup-group / EAN-efficient-attention-network
  The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.
  ☆20Updated last year
• bhanML / SIGUA
  ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
  ☆13Updated 3 years ago
• cadurosar / graph_kd
  Graph Knowledge Distillation
  ☆13Updated 4 years ago
• konstantinkobs / SimLoss
  A PyTorch implementation of our proposed loss function from the paper "SimLoss: Class Similarities in Cross Entropy"
  ☆24Updated 3 years ago
• jhoon-oh / kd_data
  IJCAI 2021, "Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation"
  ☆39Updated last year
• tianyizhou / DoCL
  Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)
  ☆19Updated 3 years ago
• Jongchan / unsupervised_data_augmentation_pytorch
  A PyTorch implementation for Unsupervised Data Augmentation
  ☆23Updated 2 years ago
• Chenglin-Yang / LESA
  Locally Enhanced Self-Attention: Rethinking Self-Attention as Local and Context Terms
  ☆20Updated 2 years ago
• fmcarlucci / ADAGE
  Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"
  ☆11Updated 5 years ago
• thudzj / NEigenmaps
  ☆11Updated 8 months ago
• shengliu66 / ConvNorm
  Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks
  ☆30Updated 2 years ago
• KaosEngineer / PriorNetworks-OLD
  ☆38Updated 5 years ago
• PaulAlbert31 / ReLaB
  Official repository for Reliable Label Bootstrapping
  ☆19Updated last year
• Frozenmad / MetaDelta
  1st solution to AAAI 2021 and NeurIPS 2021 MetaDL competition from Team Meta_Learners. Serve as a strong baseline for cd metadl challenge…
  ☆47Updated 2 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
• a1600012888 / clsa_pytorch
  Unofficial implement of CLSA(Contrastive Learning with Stronger Augmentations) with minimum modifications on official moco's code
  ☆32Updated 3 years ago
• safpla / AutoLossRelease
  ☆19Updated 5 years ago
• zihangm / RAL_GNN
  ☆20Updated 6 years ago
• yaohungt / Self_Supervised_Learning_Multiview
  ☆40Updated 4 years ago
• CupidJay / MoCov3-pytorch
  custom pytorch implementation of MoCo v3
  ☆44Updated 3 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 2 years ago