Alternatives and similar repositories for dropmax:

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

• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆69Updated 4 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• christopher-beckham / amr
  Official adversarial mixup resynthesis repository
  ☆35Updated 5 years ago
• SITE5039 / AdaMixUp
  ☆14Updated 5 years ago
• hrayrhar / limit-label-memorization
  Improving generalization by controlling label-noise information in neural network weights.
  ☆40Updated 4 years ago
• sungraepark / Adversarial-Dropout
  ☆32Updated 5 years ago
• hehaodele / ProbGAN
  [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees
  ☆32Updated 5 years ago
• necludov / group-sparsity-sbp
  Structured Bayesian Pruning, NIPS 2017
  ☆73Updated 4 years ago
• microsoft / metric-transfer.pytorch
  Deep Metric Transfer for Label Propagation with Limited Annotated Data
  ☆49Updated last year
• ramakanth-pasunuru / CAS-MAS
  Code for paper "Continual and Multi-Task Architecture Search (ACL 2019)"
  ☆41Updated 5 years ago
• nolfwin / symloss-ber-auc
  Code for the paper: On Symmetric Losses for Learning from Corrupted Labels
  ☆18Updated 5 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆50Updated 7 years ago
• rcalland / deep-INFOMAX
  Chainer implementation of deep-INFOMAX
  ☆34Updated 6 years ago
• Confusezius / CVPR2020_PADS
  (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …
  ☆60Updated 4 years ago
• da-molchanov / variance-networks
  Variance Networks: When Expectation Does Not Meet Your Expectations, ICLR 2019
  ☆39Updated 5 years ago
• kibok90 / cvpr2018-hnd
  CVPR 2018 Hierarchical Novelty Detection for Visual Object Recognition
  ☆38Updated 6 years ago
• haebeom-lee / amtfl
  Tensorflow implementation of Deep Asymmetric Multi-task Feature Learning (ICML2018)
  ☆14Updated 6 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
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• oval-group / dfw
  Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
  ☆62Updated 3 years ago
• vadimkantorov / metriclearningbench
  Metric learning models in PyTorch with results on CUB2011, CARS196, Stanford Online Products
  ☆65Updated 3 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆53Updated 5 years ago
• ruotianluo / Context-aware-ZSR
  Official code for paper Context-aware Zero-shot Recognition (https://arxiv.org/abs/1904.09320 to appear at AAAI2020)
  ☆58Updated 5 years ago
• wangkua1 / apd_public
  Code for "Adversarial Distillation of Bayesian Neural Network Posteriors" https://arxiv.org/abs/1806.10317
  ☆15Updated 6 years ago
• liyu95 / SupportNet
  SupportNet: solving catastrophic forgetting in class incremental learning with support data
  ☆34Updated 6 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆87Updated 7 years ago
• csyanbin / Few-shot-Meta-learning-papers
  Recent few-shot meta-learning papers
  ☆86Updated 6 years ago
• bneyshabur / over-parametrization
  Computing various norms/measures on over-parametrized neural networks
  ☆49Updated 6 years ago
• mingzhang-yin / ARM-gradient
  Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
  ☆28Updated 5 years ago
• TalkToTheGAN / REGAN
  ReGAN: Sequence GAN using RE[INFORCE|LAX|BAR] based PG estimators
  ☆40Updated 6 years ago