Alternatives and similar repositories for IGAM_CVPR2020

Users that are interested in IGAM_CVPR2020 are comparing it to the libraries listed below

• alvinchangw / JARN_ICLR2020
  Implementation for Jacobian Adversarially Regularized Networks for Robustness (ICLR 2020)
  ☆22Updated 5 years ago
• enyac-group / Renofeation
  ☆19Updated 3 years ago
• bhanML / SIGUA
  ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
  ☆15Updated 4 years ago
• christopher-beckham / amr
  Official adversarial mixup resynthesis repository
  ☆35Updated 5 years ago
• MadryLab / dataset-replication-analysis
  ☆25Updated 5 years ago
• jason718 / semi-sup
  Code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning", Ren et al., NeurIPS'20
  ☆25Updated 4 years ago
• ricvolpi / domain-shift-robustness
  Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019
  ☆27Updated 5 years ago
• xiaozhanguva / Cost-Sensitive-Robustness
  A general method for training cost-sensitive robust classifier
  ☆22Updated 6 years ago
• XinbangZhang / DATA-NAS
  Codes for DATA: Differentiable ArchiTecture Approximation.
  ☆11Updated 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
• Kennethborup / self_distillation
  Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression
  ☆18Updated 3 years ago
• P2333 / Rectified-Rejection
  Coupling rejection strategy against adversarial attacks (CVPR 2022)
  ☆29Updated 3 years ago
• YunseokJANG / l2l-da
  Repository for our ICCV 2019 paper: Adversarial Defense via Learning to Generate Diverse Attacks
  ☆22Updated 3 years ago
• hendrycks / pre-training
  Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
  ☆100Updated 3 years ago
• pluskid / structural-regularity
  ☆22Updated 2 years ago
• HaohanWang / PAR_experiments
  Learning Robust Global Representations by Penalizing Local Predictive Power (NeurIPS 2019))
  ☆18Updated 2 years ago
• ShawnXYang / AT_HE
  ☆35Updated 4 years ago
• tianyizhou / DoCL
  Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)
  ☆19Updated 3 years ago
• zjfheart / Robust-ResNet
  Towards Robust ResNet: A Small Step but a Giant Leap (IJCAI 2019)
  ☆9Updated 4 years ago
• HaohanWang / HEX
  Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out
  ☆27Updated 4 years ago
• geosada / LVAT
  Latent Space Virtual Adversarial Training (ECCV 2020)
  ☆17Updated 4 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• hrayrhar / limit-label-memorization
  Improving generalization by controlling label-noise information in neural network weights.
  ☆40Updated 4 years ago
• fmcarlucci / ADAGE
  Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"
  ☆11Updated 5 years ago
• anonymous003784 / Multi-View-Information-Bottleneck
  ☆10Updated 5 years ago
• hongyanz / multibranch
  Codes for the paper "Deep Neural Networks with Multi-Branch Architectures Are Less Non-Convex"
  ☆20Updated 4 years ago
• StephanZheng / neural-fingerprinting
  ☆29Updated 6 years ago
• ramprs / neuron-importance-zsl
  [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance
  ☆57Updated 6 years ago
• nolfwin / symloss-ber-auc
  Code for the paper: On Symmetric Losses for Learning from Corrupted Labels
  ☆19Updated 6 years ago
• davidstutz / disentangling-robustness-generalization
  CVPR'19 experiments with (on-manifold) adversarial examples.
  ☆45Updated 5 years ago