ynchuang / awesome-efficient-xai

Related projects ⓘ

Alternatives and complementary repositories for awesome-efficient-xai

• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆50Updated 7 months ago
• ynysjtu / ood_bench
  ☆48Updated 2 years ago
• m-Just / OoD-Bench
  ☆42Updated 2 years ago
• daochenzha / autosmote
  [CIKM 2022] Towards Automated Over-Sampling for Imbalanced Classification
  ☆10Updated last year
• guanchuwang / SHEAR
  Towards Efficient Shapley Value Estimation via Cross-contribution Maximization
  ☆13Updated 2 years ago
• LJSthu / HRM
  The code for the paper 'Heterogeneous Risk Minimization' of ICML2021.
  ☆24Updated 3 years ago
• ShiYunyi / Meta-Weight-Net_Code-Optimization
  A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.
  ☆56Updated 3 years ago
• LFhase / FeAT
  [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization
  ☆24Updated 5 months ago
• SMILELab-FL / FedNoisy
  Benchmark for federated noisy label learning
  ☆19Updated 2 months ago
• ahxt / G2R
  [WWW2022] Geometric Graph Representation Learning via Maximizing Rate Reduction
  ☆26Updated 2 years ago
• wujcan / GIF-torch
  ☆21Updated 2 years ago
• amazon-science / long-tailed-ood-detection
  Official implementation for "Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition" (I…
  ☆40Updated last year
• qitianwu / GraphOOD-GNNSafe
  The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"
  ☆73Updated last year
• junkangwu / ADNCE
  [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"
  ☆37Updated last year
• daviddao / awesome-data-valuation
  💱 A curated list of data valuation (DV) to design your next data marketplace
  ☆109Updated last week
• iancovert / fastshap
  An amortized approach for calculating local Shapley value explanations
  ☆92Updated 11 months ago
• thuml / Batch-Spectral-Shrinkage
  Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)
  ☆24Updated 2 years ago
• shangxinyi / FEDIC
  ☆17Updated 3 years ago
• ningkp / LfOSA
  ☆17Updated 2 years ago
• YaoRujing / Data-Optimization
  Data Optimization in Deep Learning: A Survey
  ☆16Updated last year
• RyanWangZf / PAC-Bayes-IB
  Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.
  ☆46Updated 2 years ago
• shenlei515 / VHL-paddle
  translation of VHL repo in paddle
  ☆25Updated last year
• WANGXinyiLinda / causal-balancing-for-domain-generalization
  This is the official reporsitory for paper Causal Balancing for Domain Generalization
  ☆12Updated last year
• MaheepChaudhary / Causality-in-Trustworthy-Machine-Learning
  The repository contains lists of papers on causality and how relevant techniques are being used to further enhance deep learning era comp…
  ☆86Updated last year
• IandRover / MAML_noisy_contrasive_learner
  ☆17Updated 2 years ago
• Sherrylone / ARB
  CVPR 2022 paper
  ☆16Updated 2 years ago
• ZFancy / Unleashing-Mask
  [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"
  ☆18Updated last year
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆42Updated last year
• YuheD / awesome-model-transferability-estimation
  A collection of model transferability estimation methods.
  ☆24Updated last month
• namkoong-lab / whyshift
  A python package providing a benchmark with various specified distribution shift patterns.
  ☆56Updated 11 months ago