ai4life-group Goto Github PK

amplify

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

balanced_recourse

counterfactualdistanceattack

"On the Privacy Risks of Algorithmic Recourse". Martin Pawelczyk, Himabindu Lakkaraju* and Seth Neel*. In International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR, 2023.

diet

Code for "Discriminative Feature Attributions via Distractor Erasure Tuning"

disagreement-problem

Code repo for the disagreement problem paper

fair-unlearning

Fair Machine Unlearning: Data Removal while Mitigating Disparities

fair_ranking_effectiveness_on_outcomes

AIES 2021 Paper: Does Fair Ranking Imporve Minority Outcomes?

graphxai

GraphXAI: Resource to support the development and evaluation of GNN explainers

in-context-unlearning

"In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; arXiv preprint: arXiv:2310.07579; 2023.

lcnn

Low Curvature Neural Networks (NeurIPS 2022)

lfa

Local function approximation (LFA) framework, NeurIPS 2022

llm_explainer

Code for paper: Are Large Language Models Post Hoc Explainers?

nifty

Code for paper https://arxiv.org/abs/2102.13186

openxai

OpenXAI : Towards a Transparent Evaluation of Model Explanations

probabilisticallyrobustrecourse

"Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness". M. Pawelczyk, T. Datta, J. v.d Heuvel, G. Kasneci, H. Lakkaraju. International Conference on Learning Representations 2023 (ICLR).

rise-against-distribution-shift

Code base for robust learning for an intersection of causal and adversarial shifts

roar

robust-grads

Code for https://arxiv.org/abs/2306.06716

rocerf_code

Source code for ROCERF

splice

Sparse Linear Concept Embeddings

uai22_datapoisoningattacksonoff-policypolicyevaluationmethods_rl

DOPE: Data Poisoning Attacks on Off-Policy Policy Evaluation Methods

unified_representation