Alternatives and similar repositories for Normalized-Wasserstein:

Users that are interested in Normalized-Wasserstein are comparing it to the libraries listed below

• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• locuslab / intermediate_robustness
  ☆16Updated 3 years ago
• anonymous003784 / Multi-View-Information-Bottleneck
  ☆10Updated 5 years ago
• yogeshbalaji / robustOT
  Robust Optimal Transport code
  ☆42Updated 2 years ago
• locuslab / orthogonal-convolutions
  Implementations of orthogonal and semi-orthogonal convolutions in the Fourier domain with applications to adversarial robustness
  ☆44Updated 3 years ago
• Jiaolong / ss-da-consistency
  Self-Supervised Domain Adaptation with Consistency Training
  ☆19Updated 4 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• yaohungt / Self_Supervised_Learning_Multiview
  ☆42Updated 4 years ago
• LTS4 / hold-me-tight
  Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"
  ☆22Updated 3 years ago
• gmm-iclr21 / sgd-gmm
  ☆15Updated 4 years ago
• arobey1 / mbdg
  ☆36Updated 3 years ago
• yaohungt / Pointwise_Dependency_Neural_Estimation
  ☆20Updated 4 years ago
• bhanML / SIGUA
  ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
  ☆15Updated 4 years ago
• DonkeyShot21 / batch-level-distillation
  This is the official repository for Batch Level Distillation (BLD)
  ☆14Updated 4 years ago
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆23Updated 3 years ago
• yunhuiguo / CVPR-2021-L2ID-Classification-Challenges
  Learning from Limited and Imperfect Data (L2ID): Classification Challenges
  ☆18Updated 4 years ago
• shengliu66 / ConvNorm
  Official Implementation of Convolutional Normalization: Improving Robustness and Training for Deep Neural Networks
  ☆30Updated 2 years ago
• huangleiBuaa / IterNorm-pytorch
  This is the pytorch re-implementation of the IterNorm
  ☆41Updated 5 years ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆26Updated 3 years ago
• ermongroup / f-wgan
  Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020
  ☆14Updated 4 years ago
• UMBCvision / fooling_network_interpretation
  Official PyTorch implementation for our ICCV 2019 paper - Fooling Network Interpretation in Image Classification
  ☆24Updated 5 years ago
• stanford-futuredata / sinkhorn-label-allocation
  Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…
  ☆53Updated 3 years ago
• TUM-DAML / dbu-robustness
  Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)
  ☆28Updated 2 years ago
• peterbhase / interpretable-image
  Code for "Interpretable Image Recognition with Hierarchical Prototypes"
  ☆18Updated 5 years ago
• AKuzina / attack_vae
  Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks
  ☆13Updated 3 years ago
• albietz / kernel_reg
  Pytorch implementation of regularization methods for deep networks obtained via kernel methods.
  ☆22Updated 5 years ago
• tianyizhou / DoCL
  Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)
  ☆19Updated 3 years ago
• kobybibas / pnml_ood_detection
  Out-of-distribution detection using the pNML regret. NeurIPS2021
  ☆24Updated 3 months ago
• selflein / EBM-OOD-Detection
  Code for our paper "On Out-of-distribution detection with Energy-based Models" accepted to the ICML 2021 Workshop on Uncertainty & Robus…
  ☆20Updated 3 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 5 years ago