Alternatives and similar repositories for irreducible

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

• dengbaowang / Mixup-Inference-in-Training
  This is the implementation of our CVPR'23 paper On the Pitfall of Mixup for Uncertainty Calibration. In the paper, we conduct a series of…
  ☆17Updated 2 years ago
• wwangwitsel / ConfDiff
  [NeurIPS'23] Binary Classification with Confidence Difference
  ☆10Updated last year
• salesforce / ensemble-of-averages
  ☆31Updated 4 months ago
• LINs-lab / ttab
  [ICML 2023] On Pitfalls of Test-Time Adaptation
  ☆122Updated last year
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆29Updated 2 years ago
• IBM / model-reprogramming
  Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>
  ☆61Updated last week
• deeplearning-wisc / cider
  PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
  ☆62Updated 2 years ago
• divyam3897 / UCL
  Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)
  ☆98Updated 2 years ago
• nazmul-karim170 / UNICON
  [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…
  ☆62Updated 11 months ago
• Impression2805 / OpenMix
  PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"
  ☆25Updated last year
• dengbaowang / Rethinking-Calibration-of-Deep-Neural-Networks
  ☆15Updated 3 years ago
• Hhhhhhao / General-Framework-Weak-Supervision
  This repo provides the codebase for "A General Framework for Weak Supervision"
  ☆40Updated last year
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆36Updated 2 years ago
• shengliu66 / SOP
  Official Implementation of Robust Training under Label Noise by Over-parameterization
  ☆64Updated 3 years ago
• jhairgallardo / awesome-continual-self-supervised-learning
  List of papers that combine self-supervision and continual learning
  ☆68Updated 6 months ago
• ElvishElvis / CLEAR-Continual_Learning_Benchmark
  CLEAR benchmark (NeurIPS 2021 Dataset & Benchmark)
  ☆27Updated 2 years ago
• zhangmarvin / memo
  ☆67Updated 2 years ago
• mr-eggplant / EATA
  Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting
  ☆128Updated 2 years ago
• Kthyeon / FINE_official
  NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
  ☆39Updated 3 years ago
• db-Lee / selfsup_dd
  Self-Supervised Dataset Distillation for Transfer Learning
  ☆16Updated last year
• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆57Updated 2 years ago
• arobey1 / mbdg
  ☆36Updated 4 years ago
• phquang / DualNet
  ☆65Updated 3 years ago
• x-zho14 / MAPLE
  Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning
  ☆44Updated 2 years ago
• TaesikGong / NOTE
  The official PyTorch Implementation of "NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation (NeurIPS '22)"
  ☆48Updated last year
• deeplearning-wisc / npos
  source code for ICLR'23 paper "Non-parametric Outlier Synthesis"
  ☆52Updated last year
• vita-epfl / ttt-plus-plus
  [NeurIPS] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆70Updated 3 years ago
• matsuolab / T3A
  This codebase is the official implementation of Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization (NeurIPS2…
  ☆101Updated 3 years ago
• locuslab / tta_conjugate
  Test-Time Adaptation via Conjugate Pseudo-Labels
  ☆42Updated 2 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆109Updated 2 years ago