Contrastive Explanation (Foil Trees), developed at TNO/Utrecht University
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Jan 31, 2023 - Python
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model-agnostic
Here are 11 public repositories matching this topic...
This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
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Jun 5, 2024 - Python
[ICLR24] AutoVP: An Automated Visual Prompting Framework and Benchmark
efficient-inference
finetuning
reprogramming
model-agnostic
downstream-tasks
low-data-regime
foundation-models
visual-prompt
visual-prompting
ood-robustness
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Jan 16, 2024 - Python
Official project website for the AAAI 2022 paper "Stereo Neural Vernier Caliper"
tracking
deep-learning
detection
voxel
perception
object-detection
autonomous-driving
instance-level
stereo-vision
multi-resolution
stereo-camera
tracking-by-detection
3d-computer-vision
refinement-network
robot-vision
3d-pose-estimation
3d-object-detection
6dof-pose
model-agnostic
high-resolution-net
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Feb 26, 2023 - Python
Robust regression algorithm that can be used for explaining black box models (Python implementation)
python
machine-learning
research
sparse-regression
research-paper
explainable-ai
explainable-ml
interpretable-machine-learning
robust-regression
model-agnostic
black-box-explanations
local-explanations
explain-classifiers
slise
slise-algorithm
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May 11, 2024 - Python
Robust regression algorithm that can be used for explaining black box models (R implementation)
machine-learning
r
research
r-package
sparse-regression
research-paper
explainable-ai
explainable-ml
interpretable-machine-learning
robust-regression
model-agnostic
black-box-explanations
local-explanations
explain-classifiers
slise
slise-algorithm
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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
machine-learning
deep-learning
time-series
prototypes
interpretability
explainability
model-agnostic
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Sep 11, 2024 - Python
AI Explainability 360 Toolkit for Time-Series and Industrial Use Cases
ai
time-series
artificial-intelligence
forecasting
industrial
ibm-research
interpretability
fault-detection
explainable-ai
explainable-ml
xai
ibm-research-ai
explainability
model-agnostic
aix360
kdd2023
aix360-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
deep-learning
decision-tree-classifier
black-box-model
explainable-artificial-intelligence
explainable-ai
model-agnostic
model-agnostic-explanations
rule-based-classifier
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Apr 22, 2024 - Jupyter Notebook
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