ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1705.07874
  4. Cited By
A Unified Approach to Interpreting Model Predictions

A Unified Approach to Interpreting Model Predictions

22 May 2017
Scott M. Lundberg
Su-In Lee
    FAtt
ArXivPDFHTML

Papers citing "A Unified Approach to Interpreting Model Predictions"

50 / 1,822 papers shown
Title
Learning Interpretable Differentiable Logic Networks for Tabular Regression
Learning Interpretable Differentiable Logic Networks for Tabular Regression
C. Yue
N. Jha
57
0
0
29 May 2025
Data Model Design for Explainable Machine Learning-based Electricity Applications
Data Model Design for Explainable Machine Learning-based Electricity Applications
Carolina Fortuna
Gregor Cerar
Blaž Bertalanič
Andrej Čampa
M. Mohorčič
38
0
0
29 May 2025
Shapley Value-driven Data Pruning for Recommender Systems
Shapley Value-driven Data Pruning for Recommender Systems
Yansen Zhang
Xiaokun Zhang
Ziqiang Cui
Chen Ma
TDI
53
0
0
28 May 2025
Self-Critique and Refinement for Faithful Natural Language Explanations
Self-Critique and Refinement for Faithful Natural Language Explanations
Yingming Wang
Pepa Atanasova
LRM
40
0
0
28 May 2025
StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis
StarBASE-GP: Biologically-Guided Automated Machine Learning for Genotype-to-Phenotype Association Analysis
Jose Guadalupe Hernandez
Attri Ghosh
Philip J. Freda
Yufei Meng
Nicholas Matsumoto
Jason H. Moore
38
0
0
28 May 2025
Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI
Do you see what I see? An Ambiguous Optical Illusion Dataset exposing limitations of Explainable AI
Carina Newen
Luca Hinkamp
Maria Ntonti
Emmanuel Müller
40
0
0
27 May 2025
Explainability of Large Language Models using SMILE: Statistical Model-agnostic Interpretability with Local Explanations
Explainability of Large Language Models using SMILE: Statistical Model-agnostic Interpretability with Local Explanations
Zeinab Dehghani
Koorosh Aslansefat
Adil Khan
Mohammed Naveed Akram
MILM
LRM
40
0
0
27 May 2025
Relevance-driven Input Dropout: an Explanation-guided Regularization Technique
Relevance-driven Input Dropout: an Explanation-guided Regularization Technique
Shreyas Gururaj
Lars Grüne
Wojciech Samek
Sebastian Lapuschkin
Leander Weber
61
0
0
27 May 2025
Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning
Learning optimal treatment strategies for intraoperative hypotension using deep reinforcement learning
Esra Adiyeke
Tianqi Liu
Venkata Sai Dheeraj Naganaboina
Han Li
Tyler J. Loftus
...
Karandeep Singh
Ruogu Fang
Parisa Rashidi
A. Bihorac
T. Ozrazgat-Baslanti
OffRL
40
0
0
27 May 2025
Union Shapley Value: Quantifying Group Impact via Collective Removal
Union Shapley Value: Quantifying Group Impact via Collective Removal
Piotr Kępczyński
Oskar Skibski
TDI
61
0
0
27 May 2025
Explanation User Interfaces: A Systematic Literature Review
Explanation User Interfaces: A Systematic Literature Review
Eleonora Cappuccio
Andrea Esposito
Francesco Greco
Giuseppe Desolda
Rosa Lanzilotti
Salvatore Rinzivillo
46
0
0
26 May 2025
Transformers in Protein: A Survey
Transformers in Protein: A Survey
Xiaowen Ling
Zhiqiang Li
Yanbin Wang
Zhuhong You
ViT
MedIm
AI4CE
45
0
0
26 May 2025
SaSi: A Self-augmented and Self-interpreted Deep Learning Approach for Few-shot Cryo-ET Particle Detection
SaSi: A Self-augmented and Self-interpreted Deep Learning Approach for Few-shot Cryo-ET Particle Detection
Gokul Adethya
Bhanu Pratyush Mantha
Tianyang Wang
Xingjian Li
Min Xu
3DPC
43
0
0
26 May 2025
SCAR: Shapley Credit Assignment for More Efficient RLHF
SCAR: Shapley Credit Assignment for More Efficient RLHF
Meng Cao
Shuyuan Zhang
Xiao-Wen Chang
Doina Precup
40
0
0
26 May 2025
Grokking ExPLAIND: Unifying Model, Data, and Training Attribution to Study Model Behavior
Grokking ExPLAIND: Unifying Model, Data, and Training Attribution to Study Model Behavior
Florian Eichin
Yupei Du
Philipp Mondorf
Barbara Plank
Michael A. Hedderich
FAtt
47
0
0
26 May 2025
Learning to Explain: Prototype-Based Surrogate Models for LLM Classification
Learning to Explain: Prototype-Based Surrogate Models for LLM Classification
Bowen Wei
Mehrdad Fazli
Ziwei Zhu
LLMAG
50
0
0
25 May 2025
A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations
A Necessary Step toward Faithfulness: Measuring and Improving Consistency in Free-Text Explanations
Lingjun Zhao
Hal Daumé III
69
0
0
25 May 2025
An Interpretable Representation Learning Approach for Diffusion Tensor Imaging
An Interpretable Representation Learning Approach for Diffusion Tensor Imaging
Vishwa Mohan Singh
Alberto Gaston Villagran Asiares
Luisa Sophie Schuhmacher
Kate Rendall
Simon Weißbrod
David Rügamer
Inga Körte
55
0
0
25 May 2025
On the Role of Label Noise in the Feature Learning Process
On the Role of Label Noise in the Feature Learning Process
Andi Han
Wei Huang
Zhanpeng Zhou
Gang Niu
Wuyang Chen
Junchi Yan
Akiko Takeda
Taiji Suzuki
NoLa
MLT
79
0
0
25 May 2025
Faithful Group Shapley Value
Kiljae Lee
Ziqi Liu
Weijing Tang
Yuan Zhang
TDI
FedML
54
0
0
25 May 2025
Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling
Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling
Hojun Son
Asma Almutairi
Arpan Kusari
56
0
0
24 May 2025
LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis
LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis
Md. Mahim Anjum Haque
Ismail Hossain
Md Mahmuduzzaman Kamol
Md. jahangir Alam
Suresh Kumar Amalapuram
Sajedul Talukder
Mohammad Saidur Rahman
45
0
0
24 May 2025
Reverse-Speech-Finder: A Neural Network Backtracking Architecture for Generating Alzheimer's Disease Speech Samples and Improving Diagnosis Performance
Reverse-Speech-Finder: A Neural Network Backtracking Architecture for Generating Alzheimer's Disease Speech Samples and Improving Diagnosis Performance
Victor O.K. Li
Yang Han
Jacqueline C. K. Lam
Lawrence Y. L. Cheung
83
0
0
23 May 2025
ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs
ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs
Landon Butler
Abhineet Agarwal
Justin Singh Kang
Yigit Efe Erginbas
Bin Yu
Kannan Ramchandran
71
0
0
23 May 2025
Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads
Debiasing CLIP: Interpreting and Correcting Bias in Attention Heads
Wei Jie Yeo
Rui Mao
Moloud Abdar
Erik Cambria
Ranjan Satapathy
68
0
0
23 May 2025
GIM: Improved Interpretability for Large Language Models
GIM: Improved Interpretability for Large Language Models
Joakim Edin
Róbert Csordás
Tuukka Ruotsalo
Zhengxuan Wu
Maria Maistro
Jing-ling Huang
Lars Maaløe
67
0
0
23 May 2025
EVM-Fusion: An Explainable Vision Mamba Architecture with Neural Algorithmic Fusion
EVM-Fusion: An Explainable Vision Mamba Architecture with Neural Algorithmic Fusion
Zichuan Yang
113
0
0
23 May 2025
Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods
Computing Exact Shapley Values in Polynomial Time for Product-Kernel Methods
Majid Mohammadi
Siu Lun Chau
Krikamol Muandet
FAtt
89
0
0
22 May 2025
Interpretable Machine Learning for Macro Alpha: A News Sentiment Case Study
Interpretable Machine Learning for Macro Alpha: A News Sentiment Case Study
Yuke Zhang
AIFin
49
0
0
22 May 2025
MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding
MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding
Yuxiang Wei
Yanteng Zhang
Xi Xiao
Tianyang Wang
Xiao Wang
Vince D. Calhoun
MoE
102
0
0
21 May 2025
Aligning Explanations with Human Communication
Aligning Explanations with Human Communication
Jacopo Teneggi
Zhenzhen Wang
Paul H. Yi
Tianmin Shu
Jeremias Sulam
98
0
0
21 May 2025
The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation
The Atlas of In-Context Learning: How Attention Heads Shape In-Context Retrieval Augmentation
Patrick Kahardipraja
Reduan Achtibat
Thomas Wiegand
Wojciech Samek
Sebastian Lapuschkin
67
0
0
21 May 2025
Reliable Vertical Federated Learning in 5G Core Network Architecture
Reliable Vertical Federated Learning in 5G Core Network Architecture
Mohamad Mestoukirdi
Mourad Khanfouci
52
0
0
21 May 2025
RePPL: Recalibrating Perplexity by Uncertainty in Semantic Propagation and Language Generation for Explainable QA Hallucination Detection
RePPL: Recalibrating Perplexity by Uncertainty in Semantic Propagation and Language Generation for Explainable QA Hallucination Detection
Yiming Huang
Junyan Zhang
Zihao Wang
Biquan Bie
Xuming Hu
Yi R.
Fung
Xinlei He
62
0
0
21 May 2025
Explainable AI for Securing Healthcare in IoT-Integrated 6G Wireless Networks
Explainable AI for Securing Healthcare in IoT-Integrated 6G Wireless Networks
Navneet Kaur
Lav Gupta
60
0
0
20 May 2025
Explaining Unreliable Perception in Automated Driving: A Fuzzy-based Monitoring Approach
Explaining Unreliable Perception in Automated Driving: A Fuzzy-based Monitoring Approach
Aniket Salvi
Gereon Weiss
Mario Trapp
64
0
0
20 May 2025
Enhancing Interpretability of Sparse Latent Representations with Class Information
Enhancing Interpretability of Sparse Latent Representations with Class Information
Farshad Sangari Abiz
Reshad Hosseini
Babak N. Araabi
DRL
75
0
0
20 May 2025
Interpretable Reinforcement Learning for Load Balancing using Kolmogorov-Arnold Networks
Interpretable Reinforcement Learning for Load Balancing using Kolmogorov-Arnold Networks
Kamal Singh
Sami Marouani
Ahmad Al Sheikh
Pham Tran Anh Quang
Amaury Habrard
129
0
0
20 May 2025
Attributional Safety Failures in Large Language Models under Code-Mixed Perturbations
Attributional Safety Failures in Large Language Models under Code-Mixed Perturbations
Somnath Banerjee
Pratyush Chatterjee
Shanu Kumar
Sayan Layek
Parag Agrawal
Rima Hazra
Animesh Mukherjee
AAML
89
0
0
20 May 2025
BACON: A fully explainable AI model with graded logic for decision making problems
BACON: A fully explainable AI model with graded logic for decision making problems
Haishi Bai
Jozo Dujmovic
Jianwu Wang
69
0
0
20 May 2025
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data
CSAGC-IDS: A Dual-Module Deep Learning Network Intrusion Detection Model for Complex and Imbalanced Data
Yifan Zeng
155
0
0
20 May 2025
The Evolution of Alpha in Finance Harnessing Human Insight and LLM Agents
The Evolution of Alpha in Finance Harnessing Human Insight and LLM Agents
Mohammad Rubyet Islam
AIFin
80
0
0
20 May 2025
Explainable Prediction of the Mechanical Properties of Composites with CNNs
Explainable Prediction of the Mechanical Properties of Composites with CNNs
Varun Raaghav
Dimitrios Bikos
Antonio Rago
Francesca Toni
Maria Charalambides
47
0
0
20 May 2025
Personalized Student Knowledge Modeling for Future Learning Resource Prediction
Personalized Student Knowledge Modeling for Future Learning Resource Prediction
Soroush Hashemifar
Sherry Sahebi
AI4Ed
140
0
0
20 May 2025
Unveiling and Steering Connectome Organization with Interpretable Latent Variables
Unveiling and Steering Connectome Organization with Interpretable Latent Variables
Yubin Li
Xingyu Liu
Guozhang Chen
89
0
0
19 May 2025
EPIC: Explanation of Pretrained Image Classification Networks via Prototype
EPIC: Explanation of Pretrained Image Classification Networks via Prototype
Piotr Borycki
Magdalena Trędowicz
Szymon Janusz
Jacek Tabor
Przemysław Spurek
Arkadiusz Lewicki
Łukasz Struski
84
0
0
19 May 2025
Learning to Adapt to Position Bias in Vision Transformer Classifiers
Learning to Adapt to Position Bias in Vision Transformer Classifiers
Robert-Jan Bruintjes
Jan van Gemert
79
0
0
19 May 2025
Multi-Modal Artificial Intelligence of Embryo Grading and Pregnancy Prediction in Assisted Reproductive Technology: A Review
Multi-Modal Artificial Intelligence of Embryo Grading and Pregnancy Prediction in Assisted Reproductive Technology: A Review
Xueqiang Ouyang
Jia Wei
28
0
0
19 May 2025
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals
Unveil Sources of Uncertainty: Feature Contribution to Conformal Prediction Intervals
Marouane Il Idrissi
Agathe Fernandes Machado
Ewen Gallic
Arthur Charpentier
115
0
0
19 May 2025
Measuring Social Influence with Networked Synthetic Control
Measuring Social Influence with Networked Synthetic Control
Ho-Chun Herbert Chang
50
0
0
19 May 2025
1234...353637
Next