Alternatives and similar repositories for irreducible

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

• wwangwitsel / ConfDiff
  [NeurIPS'23] Binary Classification with Confidence Difference
  ☆10Updated last year
• Hhhhhhao / General-Framework-Weak-Supervision
  This repo provides the codebase for "A General Framework for Weak Supervision"
  ☆40Updated last year
• IBM / model-reprogramming
  Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>
  ☆64Updated 2 months ago
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆29Updated 2 years ago
• 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
• nazmul-karim170 / UNICON
  [CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learnin…
  ☆63Updated last year
• LINs-lab / ttab
  [ICML 2023] On Pitfalls of Test-Time Adaptation
  ☆124Updated last year
• Hhhhhhao / Noisy-Model-Learning
  ☆37Updated last year
• salesforce / ensemble-of-averages
  ☆31Updated 6 months ago
• Kthyeon / FINE_official
  NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
  ☆40Updated 4 years ago
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆36Updated 3 years ago
• jhaochenz96 / spectral_contrastive_learning
  ☆22Updated 4 years ago
• dengbaowang / Rethinking-Calibration-of-Deep-Neural-Networks
  ☆15Updated 4 years ago
• shengliu66 / SOP
  Official Implementation of Robust Training under Label Noise by Over-parameterization
  ☆64Updated 3 years ago
• tmlr-group / DAL
  [NeurIPS 2023] "Learning to Augment Distributions for Out-of-distribution Detection"
  ☆12Updated 2 years ago
• deeplearning-wisc / cider
  PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023
  ☆63Updated 2 years ago
• mr-eggplant / EATA
  Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting
  ☆133Updated 2 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆51Updated 2 years ago
• yfzhang114 / AdaNPC
  This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.
  ☆86Updated last year
• invictus717 / UniDG
  Towards Unified and Effective Domain Generalization
  ☆32Updated 2 years ago
• ElvishElvis / CLEAR-Continual_Learning_Benchmark
  CLEAR benchmark (NeurIPS 2021 Dataset & Benchmark)
  ☆28Updated 2 years ago
• ElvishElvis / LCA-on-the-line
  LCA-on-the-line (ICML 2024 Oral)
  ☆13Updated 9 months ago
• tmllab / 2021_NeurIPS_PES
  ☆30Updated 2 years ago
• Impression2805 / OpenMix
  PyTorch implementation of our CVPR2023 paper "OpenMix: Exploring Out-of-Distribution samples for Misclassification Detection"
  ☆27Updated 2 years ago
• jhairgallardo / awesome-continual-self-supervised-learning
  List of papers that combine self-supervision and continual learning
  ☆72Updated 8 months ago
• pratyushmaini / ssft
  [NeurIPS'22] Official Repository for Characterizing Datapoints via Second-Split Forgetting
  ☆16Updated 2 years ago
• hongxin001 / logitnorm_ood
  Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization
  ☆154Updated 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
• 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
• shijxcs / LIFT
  Source code for the paper "Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts" (ICML 2024)
  ☆95Updated last year