Alternatives and similar repositories for beyond-confidence-atypicality:

Users that are interested in beyond-confidence-atypicality are comparing it to the libraries listed below

• acmi-lab / RLSbench
  Code and results accompanying our paper titled RLSbench: Domain Adaptation under Relaxed Label Shift
  ☆34Updated last year
• ahujak / IB-IRM
  ☆30Updated 3 years ago
• TjuJianyu / RFC
  ☆12Updated last year
• uiuctml / ISR
  Invariant-feature Subspace Recovery (ISR)
  ☆23Updated 2 years ago
• huaxiuyao / Wild-Time
  Benchmark for Natural Temporal Distribution Shift (NeurIPS 2022)
  ☆66Updated 2 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 3 years ago
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• cambridge-mlg / CLUE
  Code for the paper "Getting a CLUE: A Method for Explaining Uncertainty Estimates"
  ☆35Updated last year
• facebookresearch / BalancingGroups
  Simple data balancing baselines for worst-group-accuracy benchmarks.
  ☆42Updated last year
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆48Updated 2 years ago
• GT-RIPL / Geometric-Sensitivity-Decomposition
  ☆18Updated 3 years ago
• LJSthu / Kernelized-HRM
  The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".
  ☆12Updated 3 years ago
• RuntianZ / doro
  Distributional and Outlier Robust Optimization (ICML 2021)
  ☆27Updated 3 years ago
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆30Updated 2 years ago
• Vanint / Core-tuning
  This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…
  ☆21Updated 2 years ago
• JonathanCrabbe / CARs
  This repository contains the implementation of Concept Activation Regions, a new framework to explain deep neural networks with human con…
  ☆11Updated 2 years ago
• ramneetk / iDECODe
  AAAI, 2022
  ☆8Updated 5 months ago
• mymakar / causally_motivated_shortcut_removal
  ☆14Updated last year
• aangelopoulos / private_prediction_sets
  Wrap around any model to output differentially private prediction sets with finite sample validity on any dataset.
  ☆17Updated last year
• facebookresearch / CausalRepID
  Experiments to reproduce results in Interventional Causal Representation Learning.
  ☆24Updated 2 years ago
• TongtongFANG / DIW
  Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".
  ☆30Updated 4 years ago
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆36Updated 2 years ago
• IBM / concept_transformer
  Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"
  ☆40Updated 2 years ago
• kakaobrain / irm-empirical-study
  An Empirical Study of Invariant Risk Minimization
  ☆27Updated 4 years ago
• aangelopoulos / ltt
  Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control
  ☆66Updated 5 months ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• yangarbiter / rare-spurious-correlation
  Understanding Rare Spurious Correlations in Neural Network
  ☆12Updated 2 years ago
• bat-sheva / Conformal-Learning
  ☆25Updated 2 years ago
• Liuhong99 / EAML
  Code Release for Learning to Adapt to Evolving Domains
  ☆31Updated 3 years ago
• cianeastwood / qrm
  Quantile risk minimization
  ☆24Updated 8 months ago