Alternatives and similar repositories for ALFs

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

• hitcszx / lnl_sr
  Learning with Noisy Labels via Sparse Regularization, ICCV2021
  ☆46Updated 3 years ago
• wyf0912 / MIXALL
  [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'
  ☆26Updated 4 years ago
• OliverRensu / SDMP
  ☆19Updated 2 years ago
• Liuhong99 / Imbalanced-SSL
  Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"
  ☆39Updated 3 years ago
• Yikai-Wang / SPR-LNL
  This is the official repo for our CVPR22 paper: Scalable Penalized Regression for Noise Detection in Learning With Noisy Labels.
  ☆18Updated last year
• pingqingsheng / LRT
  ☆24Updated 2 years ago
• Kthyeon / FINE_official
  NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
  ☆39Updated 3 years ago
• Liuhong99 / CST
  Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)
  ☆53Updated 3 years ago
• yunhuiguo / CVPR-2021-L2ID-Classification-Challenges
  Learning from Limited and Imperfect Data (L2ID): Classification Challenges
  ☆18Updated 4 years ago
• wildphoton / RandConv
  Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"
  ☆67Updated 4 years ago
• tsun / KUDA
  Prior Knowledge Guided Unsupervised Domain Adaptation (ECCV 2022)
  ☆17Updated 2 years ago
• by-liu / MbLS
  Code of our method MbLS (Margin-based Label Smoothing) for network calibration. To Appear at CVPR 2022. Paper : https://arxiv.org/abs/211…
  ☆50Updated 2 years ago
• kailigo / pacl
  PyTroch Implementation of the following paper, "ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation, ICCV'21""
  ☆15Updated 2 years ago
• BIGKnight / Energy-Based-Open-World-Uncertainty-Modeling-for-Confidence-Calibration
  the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"
  ☆41Updated 3 years ago
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆41Updated 4 years ago
• TencentAILabHealthcare / UMIX
  ☆18Updated 2 years ago
• VisionLearningGroup / CDS
  CDS: Cross-Domain Self-supervised Pre-training
  ☆26Updated 3 years ago
• shengliu66 / SOP
  Official Implementation of Robust Training under Label Noise by Over-parameterization
  ☆64Updated 2 years ago
• txsing / generalize-unseen-domains-PyTorch
  PyTorch Implementation: Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018. Origin Tenso…
  ☆14Updated 4 years ago
• jiachenzhu / VCR
  Variance Covariance Regularization
  ☆14Updated 2 years ago
• asrafulashiq / dynamic-cdfsl
  Pytorch codes for NeurIPS 2021 paper titled "Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data".
  ☆32Updated 3 years ago
• bluecdm / Long-tailed-recognition
  ☆25Updated last year
• cool-xuan / Imbalanced_SAM
  The offical implement of ImbSAM (Imbalanced-SAM)
  ☆24Updated last year
• salesforce / ensemble-of-averages
  ☆31Updated last month
• yuyinzhou / L2B
  This repository includes the official project of L2B, from our paper "Learning to Bootstrap for Combating Label Noise".
  ☆33Updated 3 months ago
• lblaoke / TLC
  PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)
  ☆61Updated last year
• AlanChou / Super-Loss
  PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.
  ☆29Updated 4 years ago
• zzpustc / CC-SAM
  This is the implementation of our CVPR'23 paper "Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition".
  ☆20Updated last year
• UCSC-REAL / cores
  Learning with Instance-Dependent Label Noise: A Sample Sieve Approach (ICLR2021)
  ☆37Updated 4 years ago
• hamanhbui / mDSDI
  Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).
  ☆28Updated 3 years ago