Alternatives and similar repositories for InputIBA

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

• BioroboticsLab / IBA
  Information Bottlenecks for Attribution
  ☆84Updated 3 years ago
• YyzHarry / SubpopBench
  [ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift
  ☆111Updated 2 years ago
• izmailovpavel / spurious_feature_learning
  ☆47Updated 2 years ago
• IBM / concept_transformer
  Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"
  ☆42Updated 3 months ago
• zju-vipa / ProtoPFormer
  ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition
  ☆40Updated 3 years ago
• belaalb / G2DM
  Generalizing to unseen domains via distribution matching
  ☆73Updated 5 years ago
• valentyn1boreiko / DVCEs
  ☆44Updated last year
• gmum / ProtoPool
  Code for "Interpretable image classification with differentiable prototypes assignment", ECCV 2022
  ☆28Updated 3 years ago
• Jonathan-Pearce / calibration-toolbox
  NumPy library for calibration metrics
  ☆73Updated 3 months ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆52Updated 2 years ago
• zhiCHEN96 / ConceptWhitening
  ☆122Updated 3 years ago
• alexrame / fishr
  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization
  ☆89Updated 3 years ago
• YugeTen / fish
  Official implementation of paper Gradient Matching for Domain Generalization
  ☆123Updated 4 years ago
• zengyi-li / NMCE-release
  Code for Neural Manifold Clustering and Embedding
  ☆61Updated 3 years ago
• anniesch / jtt
  Code for "Just Train Twice: Improving Group Robustness without Training Group Information"
  ☆73Updated last year
• IML-DKFZ / fd-shifts
  A Benchmark for Failure Detection under Distribution Shifts in Image Classification
  ☆35Updated last year
• linyongver / Bayesian-Invariant-Risk-Minmization
  This is the code for the paper Bayesian Invariant Risk Minmization of CVPR 2022.
  ☆47Updated 2 years ago
• PolinaKirichenko / deep_feature_reweighting
  ☆111Updated 2 years ago
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆36Updated 3 years ago
• arobey1 / mbdg
  ☆36Updated 4 years ago
• p3i0t / SimCLR-CIFAR10
  Pytorch SimCLR on CIFAR10 (92.85% test accuracy)
  ☆61Updated 5 years ago
• facebookresearch / Whac-A-Mole
  Code for the paper "A Whac-A-Mole Dilemma Shortcuts Come in Multiples Where Mitigating One Amplifies Others"
  ☆50Updated last year
• omegafragger / DDU
  Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
  ☆146Updated 2 years ago
• m-Just / OoD-Bench
  ☆44Updated 2 months ago
• zhang64-llnl / Mix-n-Match-Calibration
  ☆38Updated 5 years ago
• microsoft / robustdg
  Toolkit for building machine learning models that generalize to unseen domains and are robust to privacy and other attacks.
  ☆175Updated 2 years ago
• daintlab / confidence-aware-learning
  Confidence-Aware Learning for Deep Neural Networks (ICML2020)
  ☆74Updated 5 years ago
• sungyubkim / MCDO
  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)
  ☆58Updated 7 years ago
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆25Updated 3 years ago
• chihkuanyeh / saliency_evaluation
  Python implementation for evaluating explanations presented in "On the (In)fidelity and Sensitivity for Explanations" in NeurIPS 2019 for…
  ☆25Updated 3 years ago