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태그: XAI
10건의 항목
2026년 6월 04일
Deep Learning for Case-Based Reasoning through Prototypes- A Neural Network that Explains Its Predictions
XAI
Interpretability
PrototypeLearning
CaseBasedReasoning
Autoencoder
DeepLearning
AAAI2018
Theory
2026년 6월 04일
DeepSHAP- Explaining a Series of Models by Propagating Shapley Values
XAI
Interpretability
SHAP
DeepSHAP
ShapleyValue
ModelPipeline
DeepLearning
Theory
2026년 6월 04일
Grad-CAM- Visual Explanations from Deep Networks via Gradient-based Localization
XAI
Interpretability
GradCAM
CNN
ClassActivationMap
VisualExplanation
Theory
ICCV2017
2026년 6월 04일
Interpretability Beyond Feature Attribution- Quantitative Testing with Concept Activation Vectors (TCAV)
XAI
Interpretability
TCAV
ConceptActivationVector
ICML2018
Probing
Theory
2026년 6월 04일
LIME- “Why Should I Trust You”- Explaining the Predictions of Any Classifier
XAI
LIME
Interpretability
ModelAgnostic
LocalExplanation
SurrogateModel
KDD2016
Theory
2026년 6월 04일
Network Dissection- Quantifying Interpretability of Deep Visual Representations
XAI
Interpretability
CNN
NetworkDissection
Broden
ConceptDetector
CVPR2017
TheoryOfDL
2026년 6월 04일
SHAP-A Unified Approach to Interpreting Model Predictions
XAI
SHAP
ShapleyValue
FeatureAttribution
Interpretability
GameTheory
Theory
NIPS2017
2026년 6월 04일
This Looks Like That- Deep Learning for Interpretable Image Recognition
XAI
Interpretability
PrototypeLearning
CaseBased
NeurIPS2019
FineGrainedClassification
ProtoPNet
2026년 6월 04일
TreeSHAP- Consistent Individualized Feature Attribution for Tree Ensembles
XAI
SHAP
TreeSHAP
ShapleyValues
TreeEnsembles
FeatureAttribution
Interpretability
Theory
2026년 6월 04일
Understanding intermediate layers using linear classifier probes
XAI
interpretability
linear-probe
representation-learning
deep-learning
theory
alain-bengio
iclr2017