Alternatives and similar repositories for PriorNetworks-OLD

Users that are interested in PriorNetworks-OLD are comparing it to the libraries listed below

• KaosEngineer / PriorNetworks
  ☆66Updated 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 4 years ago
• p-lambda / gradual_domain_adaptation
  ☆37Updated 4 years ago
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆122Updated 3 years ago
• TUM-DAML / dbu-robustness
  Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)
  ☆28Updated 2 years ago
• icml-mcbn / mcbn
  ☆53Updated 7 years ago
• Newbeeer / TRM
  Learning Representations that Support Robust Transfer of Predictors
  ☆20Updated 3 years ago
• EvZissel / Residual-Flow
  An implementation of the Residual Flow algorithm for out-of-distribution detection.
  ☆31Updated 3 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
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆87Updated 3 years ago
• rajatkoner08 / oodformer
  This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer
  ☆40Updated 3 years ago
• DonkeyShot21 / batch-level-distillation
  This is the official repository for Batch Level Distillation (BLD)
  ☆14Updated 4 years ago
• parthnatekar / pgdl
  Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning
  ☆40Updated 4 years ago
• capybaralet / REx_code_release
  ☆63Updated 4 years ago
• boschresearch / hierarchical_anomaly_detection
  Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and featu…
  ☆42Updated 4 years ago
• jfc43 / robust-ood-detection
  Robust Out-of-distribution Detection in Neural Networks
  ☆73Updated 3 years ago
• HaohanWang / HEX
  Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out
  ☆27Updated 4 years ago
• feidfoe / AdjustBnd4Imbalance
  Adjust Decision Boundary for Class Imbalanced Learning
  ☆19Updated 5 years ago
• k9k2 / qSGD
  SGD and Ordered SGD codes for deep learning, SVM, and logistic regression
  ☆35Updated 4 years ago
• bhanML / SIGUA
  ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
  ☆15Updated 4 years ago
• yaodongyu / Rethink-BiasVariance-Tradeoff
  Rethinking Bias-Variance Trade-off for Generalization of Neural Networks
  ☆49Updated 4 years ago
• szkocot / Adapting-Auxiliary-Losses-Using-Gradient-Similarity
  Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article
  ☆32Updated 6 years ago
• rpinsler / active-bayesian-coresets
  ☆40Updated 5 years ago
• henrikmarklund / arm
  ☆84Updated last year
• 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
• samuelstanton / gnosis
  Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.
  ☆33Updated last year
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆56Updated 2 years ago
• hytseng0509 / DropGrad
  Regularizing Meta-Learning via Gradient Dropout
  ☆53Updated 5 years ago
• indy-lab / ProtoTransfer
  Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"
  ☆51Updated 3 years ago
• AlexMeinke / certified-certain-uncertainty
  A way to achieve uniform confidence far away from the training data.
  ☆38Updated 4 years ago