ITL-LIME: Instance-Based Transfer Learning for Enhancing Local Explanations in Low-Resource Data Settings
Fuente:
arXiv
Guardado en:
| Autores principales: | Raza, Rehan, Wang, Guanjin, Wong, Kok Wai, Laga, Hamid, Fisichella, Marco |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Using Stratified Sampling to Improve LIME Image Explanations
por: Rashid, Muhammad, et al.
Publicado: (2024)
por: Rashid, Muhammad, et al.
Publicado: (2024)
Integration of Explainable AI Techniques with Large Language Models for Enhanced Interpretability for Sentiment Analysis
por: Thogesan, Thivya, et al.
Publicado: (2025)
por: Thogesan, Thivya, et al.
Publicado: (2025)
A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-shaped Structures
por: Khanam, Tahmina, et al.
Publicado: (2024)
por: Khanam, Tahmina, et al.
Publicado: (2024)
Enhancing LIME using Neural Decision Trees
por: Bouyahia, Mohamed Aymen, et al.
Publicado: (2026)
por: Bouyahia, Mohamed Aymen, et al.
Publicado: (2026)
GAMA: A General Anonymizing Multi-Agent System for Privacy Preservation Enhanced by Domain Rules and Disproof Mechanism
por: Yang, Hailong, et al.
Publicado: (2025)
por: Yang, Hailong, et al.
Publicado: (2025)
Q-LIME $π$: A Quantum-Inspired Extension to LIME
por: Vargas, Nelson Colón
Publicado: (2024)
por: Vargas, Nelson Colón
Publicado: (2024)
Generating Global and Local Explanations for Tree-Ensemble Learning Methods by Answer Set Programming
por: Takemura, Akihiro, et al.
Publicado: (2024)
por: Takemura, Akihiro, et al.
Publicado: (2024)
GradCFA: A Hybrid Gradient-Based Counterfactual and Feature Attribution Explanation Algorithm for Local Interpretation of Neural Networks
por: Sanderson, Jacob, et al.
Publicado: (2026)
por: Sanderson, Jacob, et al.
Publicado: (2026)
TSFeatLIME: An Online User Study in Enhancing Explainability in Univariate Time Series Forecasting
por: Ma, Hongnan, et al.
Publicado: (2024)
por: Ma, Hongnan, et al.
Publicado: (2024)
Investigating the Transferability of Code Repair for Low-Resource Programming Languages
por: Wong, Kyle, et al.
Publicado: (2024)
por: Wong, Kyle, et al.
Publicado: (2024)
Fuzzy Rule-based Differentiable Representation Learning
por: Zhang, Wei, et al.
Publicado: (2025)
por: Zhang, Wei, et al.
Publicado: (2025)
LIME: Making LLM Data More Efficient with Linguistic Metadata Embeddings
por: Sztwiertnia, Sebastian, et al.
Publicado: (2025)
por: Sztwiertnia, Sebastian, et al.
Publicado: (2025)
Meta-RTL: Reinforcement-Based Meta-Transfer Learning for Low-Resource Commonsense Reasoning
por: Fu, Yu, et al.
Publicado: (2024)
por: Fu, Yu, et al.
Publicado: (2024)
Data-Driven Prediction of Dynamic Interactions Between Robot Appendage and Granular Material
por: Wang, Guanjin, et al.
Publicado: (2025)
por: Wang, Guanjin, et al.
Publicado: (2025)
Clean-Label Physical Backdoor Attacks with Data Distillation
por: Dao, Thinh, et al.
Publicado: (2024)
por: Dao, Thinh, et al.
Publicado: (2024)
Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation Models
por: Knab, Patrick, et al.
Publicado: (2024)
por: Knab, Patrick, et al.
Publicado: (2024)
LIME: Less Is More for MLLM Evaluation
por: Zhu, King, et al.
Publicado: (2024)
por: Zhu, King, et al.
Publicado: (2024)
Exploration of the Rashomon Set Assists Trustworthy Explanations for Medical Data
por: Kobylińska, Katarzyna, et al.
Publicado: (2023)
por: Kobylińska, Katarzyna, et al.
Publicado: (2023)
Machine Translation Advancements of Low-Resource Indian Languages by Transfer Learning
por: Wei, Bin, et al.
Publicado: (2024)
por: Wei, Bin, et al.
Publicado: (2024)
Evaluating the Effectiveness of Data Augmentation for Emotion Classification in Low-Resource Settings
por: Arora, Aashish, et al.
Publicado: (2024)
por: Arora, Aashish, et al.
Publicado: (2024)
Comparison of decision trees with Local Interpretable Model-Agnostic Explanations (LIME) technique and multi-linear regression for explaining support vector regression model in terms of root mean square error (RMSE) values
por: Thombre, Amit
Publicado: (2024)
por: Thombre, Amit
Publicado: (2024)
XAgents: A Unified Framework for Multi-Agent Cooperation via IF-THEN Rules and Multipolar Task Processing Graph
por: Yang, Hailong, et al.
Publicado: (2025)
por: Yang, Hailong, et al.
Publicado: (2025)
Multi-BERT: Leveraging Adapters and Prompt Tuning for Low-Resource Multi-Domain Adaptation
por: Azad, Parham Abed, et al.
Publicado: (2024)
por: Azad, Parham Abed, et al.
Publicado: (2024)
Attribution for Enhanced Explanation with Transferable Adversarial eXploration
por: Zhu, Zhiyu, et al.
Publicado: (2024)
por: Zhu, Zhiyu, et al.
Publicado: (2024)
Adaptive Hoeffding Tree with Transfer Learning for Streaming Synchrophasor Data Sets
por: Mrabet, Zakaria El, et al.
Publicado: (2025)
por: Mrabet, Zakaria El, et al.
Publicado: (2025)
"When Data is Scarce, Prompt Smarter"... Approaches to Grammatical Error Correction in Low-Resource Settings
por: De, Somsubhra, et al.
Publicado: (2025)
por: De, Somsubhra, et al.
Publicado: (2025)
Batch-of-Thought: Cross-Instance Learning for Enhanced LLM Reasoning
por: Yang, Xuan, et al.
Publicado: (2026)
por: Yang, Xuan, et al.
Publicado: (2026)
Which LIME should I trust? Concepts, Challenges, and Solutions
por: Knab, Patrick, et al.
Publicado: (2025)
por: Knab, Patrick, et al.
Publicado: (2025)
Bridging Interpretability and Robustness Using LIME-Guided Model Refinement
por: Nayyem, Navid, et al.
Publicado: (2024)
por: Nayyem, Navid, et al.
Publicado: (2024)
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME
por: Salih, Ahmed, et al.
Publicado: (2023)
por: Salih, Ahmed, et al.
Publicado: (2023)
SpeechLLM: Unified Speech and Language Model for Enhanced Multi-Task Understanding in Low Resource Settings
por: Yoo, Jaekwon, et al.
Publicado: (2025)
por: Yoo, Jaekwon, et al.
Publicado: (2025)
Combining Local Symmetry Exploitation and Reinforcement Learning for Optimised Probabilistic Inference -- A Work In Progress
por: Hamid, Sagad, et al.
Publicado: (2025)
por: Hamid, Sagad, et al.
Publicado: (2025)
SetFlow: Generating Structured Sets of Representations for Multiple Instance Learning
por: Jovišić, Nikola, et al.
Publicado: (2026)
por: Jovišić, Nikola, et al.
Publicado: (2026)
Neural Multi-Speaker Voice Cloning for Nepali in Low-Resource Settings
por: Shrestha, Aayush M., et al.
Publicado: (2026)
por: Shrestha, Aayush M., et al.
Publicado: (2026)
Seeing the Needle in the Haystack: Towards Weakly-Supervised Log Instance Anomaly Localization via Counterfactual Perturbation
por: Wong, Yutszyuk, et al.
Publicado: (2026)
por: Wong, Yutszyuk, et al.
Publicado: (2026)
Weakly Supervised Vulnerability Localization via Multiple Instance Learning
por: Gu, Wenchao, et al.
Publicado: (2025)
por: Gu, Wenchao, et al.
Publicado: (2025)
Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning
por: Sankaran, Aditya Narayan, et al.
Publicado: (2024)
por: Sankaran, Aditya Narayan, et al.
Publicado: (2024)
Data Mining-Based Techniques for Software Fault Localization
por: Cellier, Peggy, et al.
Publicado: (2025)
por: Cellier, Peggy, et al.
Publicado: (2025)
L-XAIDS: A LIME-based eXplainable AI framework for Intrusion Detection Systems
por: Muhammad, Aoun E, et al.
Publicado: (2025)
por: Muhammad, Aoun E, et al.
Publicado: (2025)
Multilingual Transfer and Domain Adaptation for Low-Resource Languages of Spain
por: Luo, Yuanchang, et al.
Publicado: (2024)
por: Luo, Yuanchang, et al.
Publicado: (2024)
Ejemplares similares
-
Using Stratified Sampling to Improve LIME Image Explanations
por: Rashid, Muhammad, et al.
Publicado: (2024) -
Integration of Explainable AI Techniques with Large Language Models for Enhanced Interpretability for Sentiment Analysis
por: Thogesan, Thivya, et al.
Publicado: (2025) -
A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-shaped Structures
por: Khanam, Tahmina, et al.
Publicado: (2024) -
Enhancing LIME using Neural Decision Trees
por: Bouyahia, Mohamed Aymen, et al.
Publicado: (2026) -
GAMA: A General Anonymizing Multi-Agent System for Privacy Preservation Enhanced by Domain Rules and Disproof Mechanism
por: Yang, Hailong, et al.
Publicado: (2025)