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Explainable Models

Papers

Showing 150 of 128 papers

TitleStatusHype
Prompt-CAM: A Simpler Interpretable Transformer for Fine-Grained AnalysisCode2
Explaining black boxes with a SMILE: Statistical Model-agnostic Interpretability with Local ExplanationsCode1
CaBRNet, an open-source library for developing and evaluating Case-Based Reasoning ModelsCode1
ExDDV: A New Dataset for Explainable Deepfake Detection in VideoCode1
UKP-SQUARE: An Online Platform for Question Answering ResearchCode1
BioX-CPath: Biologically-driven Explainable Diagnostics for Multistain IHC Computational PathologyCode1
Explaining Chest X-ray Pathologies in Natural LanguageCode1
TraceFL: Interpretability-Driven Debugging in Federated Learning via Neuron ProvenanceCode1
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and ClassificationCode1
Learning Universal Shape Dictionary for Realtime Instance SegmentationCode1
Towards Musically Meaningful Explanations Using Source SeparationCode1
Improved CNN-based Learning of Interpolation Filters for Low-Complexity Inter Prediction in Video CodingCode1
EXTRA: Explanation Ranking Datasets for Explainable RecommendationCode1
dCAM: Dimension-wise Class Activation Map for Explaining Multivariate Data Series ClassificationCode1
xFraud: Explainable Fraud Transaction DetectionCode1
UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QACode1
Consistent Explanations by Contrastive LearningCode1
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time IntervalsCode1
Physically Explainable CNN for SAR Image ClassificationCode1
Explainable fault and severity classification for rolling element bearings using Kolmogorov-Arnold networksCode1
Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2Code1
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of ExplanationsCode1
SegNBDT: Visual Decision Rules for SegmentationCode1
SLISEMAP: Supervised dimensionality reduction through local explanationsCode1
Sim2Word: Explaining Similarity with Representative Attribute Words via Counterfactual ExplanationsCode1
Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression ApproachCode1
CDT: Cascading Decision Trees for Explainable Reinforcement LearningCode1
Data Science Principles for Interpretable and Explainable AICode0
Tell me why: Visual foundation models as self-explainable classifiersCode0
Smoothing Entailment Graphs with Language ModelsCode0
The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual ExplanationsCode0
Towards Human-centered Explainable AI: A Survey of User Studies for Model ExplanationsCode0
Benchmarking the Attribution Quality of Vision ModelsCode0
Constructing and explaining machine learning models for chemistry: example of the exploration and design of boron-based Lewis acidsCode0
Reproducibility study of "LICO: Explainable Models with Language-Image Consistency"Code0
Relational Boosted BanditsCode0
ProtoS-ViT: Visual foundation models for sparse self-explainable classificationsCode0
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine LearningCode0
Prototype-based Interpretable Breast Cancer Prediction Models: Analysis and ChallengesCode0
Multimodal Explanations: Justifying Decisions and Pointing to the EvidenceCode0
Large Language Models for Cyber Security: A Systematic Literature ReviewCode0
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific DiscoveryCode0
Pantypes: Diverse Representatives for Self-Explainable ModelsCode0
Prototype-based Interpretable Graph Neural NetworksCode0
HEARTS: A Holistic Framework for Explainable, Sustainable and Robust Text Stereotype DetectionCode0
Gaussian Process Neural Additive ModelsCode0
Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 dataCode0
FreqRISE: Explaining time series using frequency maskingCode0
Accurate Explanation Model for Image Classifiers using Class Association EmbeddingCode0
EXPLAN: Explaining Black-box Classifiers using Adaptive Neighborhood GenerationCode0
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