Alternatives and similar repositories for PAC-Bayes-IB

Users that are interested in PAC-Bayes-IB are comparing it to the libraries listed below

• ynysjtu / ood_bench
  ☆49Updated 2 years ago
• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆56Updated 2 years ago
• justincui03 / dc_benchmark
  ☆86Updated 2 years ago
• AnTuo1998 / AE-KD
  ☆27Updated 4 years ago
• x-zho14 / MAPLE
  Code for Model Agnostic Sample Reweighting for Out-of-Distribution Learning
  ☆44Updated 2 years ago
• garyzhao / ME-ADA
  "Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness" (NeurIPS 2020).
  ☆50Updated 4 years ago
• feifeiobama / InfluenceCL
  [CVPR 2023] Regularizing Second-Order Influences for Continual Learning
  ☆35Updated 2 years ago
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 3 years ago
• m-Just / OoD-Bench
  ☆44Updated 2 months ago
• AngusDujw / FTD-distillation
  The code of the paper "Minimizing the Accumulated Trajectory Error to Improve Dataset Distillation" (CVPR2023)
  ☆39Updated 2 years ago
• vita-epfl / ttt-plus-plus
  [NeurIPS21] TTT++: When Does Self-supervised Test-time Training Fail or Thrive?
  ☆70Updated 3 years ago
• zhangq327 / U-MAE
  Official Code for NeurIPS 2022 Paper: How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders
  ☆58Updated last year
• kaidic / HAR
  [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
  ☆41Updated 4 years ago
• xinliu20 / MEC
  ☆45Updated 2 years ago
• Mi-Peng / Sparse-Sharpness-Aware-Minimization
  [NeurIPS 2022] Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach -- Official Implementation
  ☆44Updated last year
• Nebularaid2000 / bottleneck
  PyTorch implementation of the paper "Discovering and Explaining the Representation Bottleneck of DNNs" (ICLR 2022 Oral)
  ☆38Updated 7 months ago
• zhangmarvin / memo
  ☆65Updated last year
• VITA-Group / CV_LTH_Pre-training
  [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…
  ☆69Updated 2 years ago
• mingkai-zheng / ReSSL
  ReSSL: Relational Self-Supervised Learning with Weak Augmentation
  ☆58Updated 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…
  ☆45Updated 2 years ago
• BIT-DA / MetaSAug
  [CVPR 2021] MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
  ☆61Updated 2 years ago
• xxgege / NICO-plus
  The Official Repository for CVPR2023 Paper "NICO++: Towards Better Benchmarking for Domain Generalization".
  ☆40Updated last year
• VITA-Group / FreeTickets
  [ICLR 2022] "Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity" by Shiwei Liu,…
  ☆27Updated 3 years ago
• blackfeather-wang / InfoPro-Pytorch
  Learning recognition/segmentation models without end-to-end training. 40%-60% less GPU memory footprint. Same training time. Better perfo…
  ☆90Updated 2 years ago
• hlzhang109 / DDG
  [CVPR 2022 Oral] Towards Principled Disentanglement for Domain Generalization
  ☆61Updated 2 years ago
• yfzhang114 / AdaNPC
  This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.
  ☆85Updated last year
• Saehyung-Lee / DCC
  This repository is the official implementation of Dataset Condensation with Contrastive Signals (DCC), accepted at ICML 2022.
  ☆21Updated 3 years ago
• Sherrylone / ARB
  CVPR 2022 paper
  ☆15Updated 3 years ago
• VICO-UoE / IT-GAN
  ☆23Updated last year
• JoyHuYY1412 / DDE_CIL
  ☆61Updated 3 years ago