Alternatives and similar repositories for Explanations-Human-Studies:

Users that are interested in Explanations-Human-Studies are comparing it to the libraries listed below

• siplab-gt / generative-causal-explanations
  Code for "Generative causal explanations of black-box classifiers"
  ☆33Updated 4 years ago
• MLforHealth / MIMIC_Generalisation
  Code to study the generalisability of benchmark models on non-stationary EHRs.
  ☆14Updated 5 years ago
• dmitrykazhdan / concept-based-xai
  Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
  ☆54Updated 2 years ago
• kakaobrain / irm-empirical-study
  An Empirical Study of Invariant Risk Minimization
  ☆27Updated 4 years ago
• allenai / contrastive-explanations
  Explaining neural decisions contrastively to alternative decisions.
  ☆24Updated 4 years ago
• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 4 years ago
• IBM / concept_transformer
  Code for the ICLR 2022 paper "Attention-based interpretability with Concept Transformers"
  ☆40Updated last year
• JonasGeiping / dataaugs
  ☆17Updated 2 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• AMLab-Amsterdam / DataAugmentationInterventions
  ☆27Updated 4 years ago
• MadryLab / DebuggableDeepNetworks
  ☆38Updated 3 years ago
• RyanWangZf / PromptEHR
  EMNLP'22 | PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning
  ☆28Updated last year
• mshukor / EvALign-ICL
  [ICLR2024] (EvALign-ICL Benchmark) Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context …
  ☆21Updated last year
• alexrame / diwa
  DiWA: Diverse Weight Averaging for Out-of-Distribution Generalization
  ☆29Updated 2 years ago
• ahujak / IB-IRM
  ☆30Updated 3 years ago
• Faruk-Ahmed / predictive_group_invariance
  ☆34Updated 4 years ago
• izmailovpavel / spurious_feature_learning
  ☆44Updated 2 years ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆21Updated 2 years ago
• choltz95 / MTGP-NN
  Early sepsis detection w/ multitask gaussian process neural network
  ☆15Updated 5 years ago
• jcyang34 / lspin
  ☆11Updated last year
• JonathanCrabbe / Label-Free-XAI
  This repository contains the implementation of Label-Free XAI, a new framework to adapt explanation methods to unsupervised models. For m…
  ☆24Updated 2 years ago
• huaxiuyao / LISA
  LISA for ICML 2022
  ☆47Updated last year
• ZidiXiu / ECRT
  Supercharging Imbalanced Data Learning WithCausal Representation Transfer
  ☆12Updated 3 years ago
• BrachioLab / incontext_influences
  In-context Example Selection with Influences
  ☆15Updated last year
• doerlbh / mentalRL
  Code for our AAMAS 2020 paper: "A Story of Two Streams: Reinforcement Learning Models from Human Behavior and Neuropsychiatry".
  ☆27Updated last year
• nalzok / test-time-label-shift
  Test-Time Label-Shift Adaptation
  ☆13Updated last year
• YujiaBao / Predict-then-Interpolate
  "Predict, then Interpolate: A Simple Algorithm to Learn Stable Classifiers" ICML 2021
  ☆18Updated 3 years ago
• ecreager / eiil
  Code for Environment Inference for Invariant Learning (ICML 2021 Paper)
  ☆50Updated 3 years ago
• sayakpaul / robustness-foundation-models
  This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.
  ☆71Updated 2 years ago
• lavoiems / simplicial-embeddings
  solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
  ☆23Updated 2 years ago