This is an implementation of the paper ”Interpreting Twitter User Geolocation“.
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Updated
Jul 6, 2023 - Python
This is an implementation of the paper ”Interpreting Twitter User Geolocation“.
Time series data contribution via influence functions
This repo provides an implementation of the paper Interpreting Twitter User Geolocation.
[EMNLP-2022 Findings] Code for paper “ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback”.
An Empirical Study of Memorization in NLP (ACL 2022)
A brief notebook on Influence Function (IF) for classical generative models (e.g., k-NN, KDE, GMM)
Official implementation of "Deeper Understanding of Black-box Predictions via Generalized Influence Functions".
Data-efficient Fine-tuning for LLM-based Recommendation (SIGIR'24)
This is a [Stable] PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.
[CVPR 2023] Regularizing Second-Order Influences for Continual Learning
Tiny Tutorial on https://arxiv.org/abs/1703.04730
Intriguing Properties of Data Attribution on Diffusion Models (ICLR 2024)
👋 Influenciae is a Tensorflow Toolbox for Influence Functions
This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.
Influence Functions with (Eigenvalue-corrected) Kronecker-Factored Approximate Curvature
pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation
Influence Estimation for Gradient-Boosted Decision Trees
A simple PyTorch implementation of influence functions.
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