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
  ☆45Updated 3 years ago
• shengliu66 / SOP
  Official Implementation of Robust Training under Label Noise by Over-parameterization
  ☆64Updated 2 years ago
• lblaoke / TLC
  PyTorch implementation of the paper "Trustworthy Long-Tailed Classification" (CVPR 2022)
  ☆61Updated last year
• OliverRensu / SDMP
  ☆19Updated 2 years ago
• Liuhong99 / Imbalanced-SSL
  Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"
  ☆38Updated 3 years ago
• Chenyang4 / ReSmooth
  ☆9Updated 2 years ago
• wyf0912 / MIXALL
  [ICASSP 2020] Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'
  ☆26Updated 4 years ago
• youjiangxu / FaMUS
  ☆28Updated 3 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
• pingqingsheng / LRT
  ☆24Updated 2 years ago
• Kthyeon / FINE_official
  NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
  ☆39Updated 3 years ago
• chenghao-ch94 / DFRFS
  [TNNLS 2023] Disentangled Feature Representation for Few-shot Image Classification
  ☆20Updated last year
• VisionLearningGroup / CDS
  CDS: Cross-Domain Self-supervised Pre-training
  ☆26Updated 3 years ago
• ashleylqx / AIB
  Information Bottleneck Approach to Spatial Attention Learning, IJCAI2021
  ☆15Updated 3 years ago
• nukezil / IOMatch
  [ICCV 2023 Oral] IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization
  ☆48Updated last year
• BIGKnight / Energy-Based-Open-World-Uncertainty-Modeling-for-Confidence-Calibration
  the code for paper "Energy-Based Open-World Uncertainty Modeling for Confidence Calibration"
  ☆40Updated 3 years ago
• bluecdm / Long-tailed-recognition
  ☆25Updated last year
• yunhuiguo / CVPR-2021-L2ID-Classification-Challenges
  Learning from Limited and Imperfect Data (L2ID): Classification Challenges
  ☆18Updated 4 years ago
• meijieru / fast_advprop
  [ICLR 2022]: Fast AdvProp
  ☆35Updated 3 years ago
• ShikunLi / Sel-CL
  CVPR 2022: Selective-Supervised Contrastive Learning with Noisy Labels
  ☆91Updated 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
• wildphoton / RandConv
  Code for ICLR2021 paper "Robust and Generalizable Visual Representation Learning via Random Convolutions"
  ☆66Updated 3 years ago
• lliai / Teacher-free-Distillation
  TF-FD
  ☆20Updated 2 years ago
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆40Updated 3 years ago
• val-iisc / Saddle-LongTail
  [NeurIPS 2022] Source code for our paper "Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data"
  ☆24Updated last year
• liyi01827 / noisy-contrastive
  A PyTorch-based library for On Learning Contrastive Representations for Learning With Noisy Labels (CVPR'22)
  ☆44Updated 2 years ago
• Hhhhhhao / General-Framework-Weak-Supervision
  This repo provides the codebase for "A General Framework for Weak Supervision"
  ☆34Updated 10 months ago
• huangleiBuaa / NormalizationSurvey
  This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application
  ☆84Updated 3 years ago
• YU1ut / Multi-Task-Curriculum-Framework-for-Open-Set-SSL
  Code for "Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning"
  ☆24Updated 4 years ago
• hamanhbui / mDSDI
  Exploiting Domain-Specific Features to Enhance Domain Generalization (NeurIPS 2021).
  ☆28Updated 3 years ago