Alternatives and similar repositories for selection-via-proxy

Users that are interested in selection-via-proxy are comparing it to the libraries listed below

• mansheej / data_diet
  ☆108Updated 2 years ago
• RAIVNLab / supsup
  Code for "Supermasks in Superposition"
  ☆124Updated last year
• yukimasano / linear-probes
  Evaluating AlexNet features at various depths
  ☆40Updated 4 years ago
• zeyademam / active_learning
  Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…
  ☆53Updated 3 years ago
• asappresearch / aum
  ☆81Updated 2 years ago
• vcl-iisc / ZSKD
  Zero-Shot Knowledge Distillation in Deep Networks
  ☆67Updated 3 years ago
• snu-mllab / Co-Mixup
  Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)
  ☆103Updated 3 years ago
• yaohungt / Barlow-Twins-HSIC
  ☆58Updated 3 years ago
• LayneH / self-adaptive-training
  [TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
  ☆128Updated 3 years ago
• tstandley / taskgrouping
  Code for Which Tasks Should Be Learned Together in Multi-task Learning?
  ☆98Updated 2 years ago
• megvii-research / FSSD_OoD_Detection
  [SafeAI'21] Feature Space Singularity for Out-of-Distribution Detection.
  ☆80Updated 4 years ago
• KentoNishi / Augmentation-for-LNL
  [CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".
  ☆112Updated 3 years ago
• torrvision / focal_calibration
  Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
  ☆160Updated last year
• moskomule / dda
  Differentiable Data Augmentation Library
  ☆123Updated 2 years ago
• ilia10000 / dataset-distillation
  Soft-Label Dataset Distillation and Text Dataset Distillation
  ☆74Updated 2 years ago
• decile-team / distil
  DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.
  ☆152Updated 2 years ago
• henrikmarklund / arm
  ☆84Updated last year
• valencebond / FixMatch_pytorch
  Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
  ☆48Updated 3 years ago
• VectorInstitute / gram-ood-detection
  ☆46Updated 4 years ago
• cjrd / selfaugment
  Code for SelfAugment
  ☆27Updated 4 years ago
• UMBCvision / CompRess
  Compressing Representations for Self-Supervised Learning
  ☆78Updated 4 years ago
• HanxunH / Active-Passive-Losses
  [ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels
  ☆138Updated last year
• amrit110 / Active-Learning-Papers
  A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.
  ☆66Updated 5 years ago
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆87Updated 3 years ago
• stanford-futuredata / sinkhorn-label-allocation
  Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in fu…
  ☆53Updated 4 years ago
• mpezeshki / Gradient_Starvation
  Gradient Starvation: A Learning Proclivity in Neural Networks
  ☆61Updated 4 years ago
• MECLabTUDA / Super_Selfish
  ☆93Updated 4 years ago
• snap-stanford / crust
  [NeurIPS 2020] Coresets for Robust Training of Neural Networks against Noisy Labels
  ☆34Updated 4 years ago
• chenpf1025 / noisy_label_understanding_utilizing
  ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels
  ☆91Updated 4 years ago
• Newbeeer / L_DMI
  Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"
  ☆119Updated 2 years ago