Alternatives and similar repositories for CHARMS:

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

• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆52Updated 9 months ago
• UNITES-Lab / Flex-MoE
  [NeurIPS 2024 Spotlight] Code for the paper "Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts"
  ☆25Updated 2 months ago
• Vanint / Core-tuning
  This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…
  ☆21Updated 2 years ago
• yfzhang114 / AdaNPC
  This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.
  ☆84Updated 9 months ago
• Newbeeer / TRM
  Learning Representations that Support Robust Transfer of Predictors
  ☆20Updated 3 years ago
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆29Updated last year
• BorealisAI / ranksim-imbalanced-regression
  [ICML 2022] RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
  ☆46Updated 2 years ago
• YuYang0901 / CLIP-spurious-finetune
  Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning (ICML 2023)
  ☆18Updated last year
• zhangq327 / ARC
  Official Code for ICLR2022 Paper: Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap
  ☆28Updated 2 years ago
• ZFancy / Unleashing-Mask
  [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"
  ☆18Updated last year
• linyongver / ZIN_official
  This is the implementation for the NeurIPS 2022 paper: ZIN: When and How to Learn Invariance Without Environment Partition?
  ☆22Updated 2 years ago
• salesforce / ensemble-of-averages
  ☆29Updated last year
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆40Updated 3 years ago
• PKU-ML / ContraNorm
  Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "
  ☆34Updated last year
• zju-vipa / ProtoPFormer
  ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
  ☆34Updated 2 years ago
• zzzx1224 / EBTSA-ICLR2023
  ☆10Updated last year
• PKU-ML / Message-Passing-Contrastive-Learning
  Official Code for ICLR 2023 Paper: A Message Passing Perspective on Learning Dynamics of Contrastive Learning
  ☆11Updated last year
• huaxiuyao / C-Mixup
  C-Mixup for NeurIPS 2022
  ☆68Updated last year
• xxgege / NICO-plus
  The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".
  ☆38Updated last year
• Wang-ML-Lab / bayesian-peft
  [NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
  ☆21Updated last month
• IBM / model-reprogramming
  Repository for research works and resources related to model reprogramming <https://arxiv.org/abs/2202.10629>
  ☆59Updated 10 months ago
• Impression2805 / FMFP
  PyTorch implementation of our ECCV 2022 paper "Rethinking Confidence Calibration for Failure Prediction"
  ☆24Updated last year
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆35Updated 2 years ago
• kalelpark / RAL
  [ICCVW2023] Robust Asymmetric Loss for Multi-Label Long-Tailed Learning
  ☆17Updated last year
• ahujak / IB-IRM
  ☆30Updated 3 years ago
• NeuralCollapseApplications / ImbalancedLearning
  [NeurIPS 2022] The official code for our NeurIPS 2022 paper "Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnab…
  ☆44Updated 2 years ago
• Wang-ML-Lab / VDI
  [ICLR 2023 (Spotlight)] Domain-Indexing Variational Bayes: Interpretable Domain Index for Domain Adaptation
  ☆37Updated last year
• QizhouWang / DOE
  ☆25Updated last year
• OPTML-Group / DP4TL
  [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…
  ☆11Updated last year
• Wang-ML-Lab / TSDA
  [ICML 2023] Taxonomy-Structured Domain Adaptation
  ☆12Updated last year