model-agnostic
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This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
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Jun 5, 2024 - Python
Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
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Jan 31, 2023 - Python
[ICLR24] AutoVP: An Automated Visual Prompting Framework and Benchmark
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Jan 16, 2024 - Python
Official project website for the AAAI 2022 paper "Stereo Neural Vernier Caliper"
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Feb 26, 2023 - Python
✨ Official code for our paper: "Uncertainty-o: One Model-agnostic Framework for Unveiling Epistemic Uncertainty in Large Multimodal Models".
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Mar 13, 2025 - Python
Robust regression algorithm that can be used for explaining black box models (Python implementation)
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May 11, 2024 - Python
Robust regression algorithm that can be used for explaining black box models (R implementation)
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Aug 17, 2023 - R
A simple generic (TensorFlow) function that implements the MAML algorithm for regression problems as designed by Chelsea Finn et al. 2017
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Dec 2, 2023 - Python
Codebase for CIKM '24 paper -- PARs: Predicate-based Association Rules for Efficient and Accurate (Model-Agnostic) Anomaly Explanation
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Oct 21, 2024 - Python
Post-hoc prototype-based explanations with rules for time-series classifiers
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Mar 19, 2025 - Python
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
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Aug 14, 2023 - TeX
A Global Model-Agnostic Rule-Based XAI Method based on Parameterised Event Primitives for Time Series Classifiers
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Apr 22, 2024 - Jupyter Notebook
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