Alternatives and similar repositories for Ensemble-of-Leave-out-Classifiers

Users that are interested in Ensemble-of-Leave-out-Classifiers are comparing it to the libraries listed below

• VectorInstitute / gram-ood-detection
  ☆46Updated 4 years ago
• perrying / realistic-ssl-evaluation-pytorch
  Reimplementation of "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
  ☆80Updated 5 years ago
• megvii-research / FSSD_OoD_Detection
  [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.
  ☆79Updated 4 years ago
• Mephisto405 / Unsupervised-Out-of-Distribution-Detection-by-Maximum-Classifier-Discrepancy
  Reproducing experimental results of OOD-by-MCD [Yu and Aizawa et al. ICCV 2019]
  ☆30Updated 6 years ago
• YU1ut / JointOptimization
  Code for 'Joint Optimization Framework for Learning with Noisy Labels'
  ☆39Updated 7 years ago
• engkarat / cosine-ood-detector
  Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity
  ☆31Updated 2 years ago
• brjathu / iTAML
  Official implementation of "iTAML : An Incremental Task-Agnostic Meta-learning Approach". CVPR 2020
  ☆100Updated 2 years ago
• thuml / TransNorm
  Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)
  ☆79Updated 5 years ago
• abdullahjamal / Longtail_DA
  [CVPR 2020] Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
  ☆24Updated 5 years ago
• PatrickZH / End-to-End-Incremental-Learning
  Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]
  ☆63Updated 6 years ago
• lwneal / counterfactual-open-set
  Counterfactual Image Generation
  ☆83Updated 6 years ago
• feidfoe / AdjustBnd4Imbalance
  Adjust Decision Boundary for Class Imbalanced Learning
  ☆19Updated 5 years ago
• xialeiliu / GFR-IL
  Generative Feature Replay For Class-Incremental Learning
  ☆38Updated 5 years ago
• hendrycks / pre-training
  Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
  ☆100Updated 3 years ago
• pxiangwu / PLC
  ICLR 2021, "Learning with feature-dependent label noise: a progressive approach"
  ☆44Updated 3 years ago
• takashiishida / comp
  [NeurIPS 2017] [ICML 2019] Code for complementary-label learning
  ☆49Updated 3 months ago
• ahmetius / LP-DeepSSL
  Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning
  ☆117Updated 5 years ago
• thuml / Batch-Spectral-Shrinkage
  Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)
  ☆24Updated 4 years ago
• deeplearning-wisc / gradnorm_ood
  On the Importance of Gradients for Detecting Distributional Shifts in the Wild
  ☆56Updated 3 years ago
• kibok90 / iccv2019-inc
  ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild
  ☆80Updated 3 years ago
• EvZissel / Residual-Flow
  An implementation of the Residual Flow algorithm for out-of-distribution detection.
  ☆31Updated 3 years ago
• WonderSeven / ULDA
  The official implementation of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"
  ☆26Updated 3 years ago
• yueatsprograms / uda_release
  Unsupervised Domain Adaptation through Self-Supervision
  ☆79Updated 4 years ago
• Vastlab / Reducing-Network-Agnostophobia
  ☆71Updated 6 years ago
• hendrycks / ss-ood
  Self-Supervised Learning for OOD Detection (NeurIPS 2019)
  ☆268Updated 4 years ago
• DiegoOrtego / LabelNoiseMOIT
  Official implementation for: "Multi-Objective Interpolation Training for Robustness to Label Noise"
  ☆41Updated 3 years ago
• hankook / SLA
  Self-supervised Label Augmentation via Input Transformations (ICML 2020)
  ☆107Updated 5 years ago
• nazim1021 / OOD-detection-using-OECC
  Outlier Exposure with Confidence Control for Out-of-Distribution Detection
  ☆71Updated 4 years ago
• yulu0724 / SDC-IL
  Semantic Drift Compensation for Class-Incremental Learning (CVPR2020)
  ☆119Updated 5 years ago
• k-han / DTC
  "Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)
  ☆169Updated 3 years ago