CAT: Interpretable Concept-based Taylor Additive Models
Fuente:
arXiv
Saved in:
| Main Authors: | Duong, Viet, Wu, Qiong, Zhou, Zhengyi, Zhao, Hongjue, Luo, Chenxiang, Zavesky, Eric, Yao, Huaxiu, Shao, Huajie |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
General-Purpose Multi-Modal OOD Detection Framework
by: Duong, Viet, et al.
Published: (2023)
by: Duong, Viet, et al.
Published: (2023)
A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments
by: Wang, Yuchen, et al.
Published: (2025)
by: Wang, Yuchen, et al.
Published: (2025)
Scalable Neural Symbolic Regression using Control Variables
by: Chu, Xieting, et al.
Published: (2023)
by: Chu, Xieting, et al.
Published: (2023)
WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotic Systems
by: Wang, Yuchen, et al.
Published: (2026)
by: Wang, Yuchen, et al.
Published: (2026)
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
by: Chi, Hongliang, et al.
Published: (2025)
by: Chi, Hongliang, et al.
Published: (2025)
Neural Probabilistic Circuits: Enabling Compositional and Interpretable Predictions through Logical Reasoning
by: Chen, Weixin, et al.
Published: (2025)
by: Chen, Weixin, et al.
Published: (2025)
Hierarchical Concept-based Interpretable Models
by: Hill, Oscar, et al.
Published: (2026)
by: Hill, Oscar, et al.
Published: (2026)
LLmFPCA-detect: LLM-powered Multivariate Functional PCA for Anomaly Detection in Sparse Longitudinal Texts
by: Dubey, Prasanjit, et al.
Published: (2025)
by: Dubey, Prasanjit, et al.
Published: (2025)
Concept Gradient: Concept-based Interpretation Without Linear Assumption
by: Bai, Andrew, et al.
Published: (2022)
by: Bai, Andrew, et al.
Published: (2022)
Contrast-CAT: Contrasting Activations for Enhanced Interpretability in Transformer-based Text Classifiers
by: Han, Sungmin, et al.
Published: (2025)
by: Han, Sungmin, et al.
Published: (2025)
Ever: Mitigating Hallucination in Large Language Models through Real-Time Verification and Rectification
by: Kang, Haoqiang, et al.
Published: (2023)
by: Kang, Haoqiang, et al.
Published: (2023)
Meta Additive Model: Interpretable Sparse Learning With Auto Weighting
by: Zhang, Xuelin, et al.
Published: (2026)
by: Zhang, Xuelin, et al.
Published: (2026)
Interpretable Generalized Additive Models for Datasets with Missing Values
by: McTavish, Hayden, et al.
Published: (2024)
by: McTavish, Hayden, et al.
Published: (2024)
FM-FoG: A Real-Time Foundation Model-based Wearable System for Freezing-of-Gait Mitigation
by: Chi, Chuntian, et al.
Published: (2025)
by: Chi, Chuntian, et al.
Published: (2025)
Interpretable Reward Modeling with Active Concept Bottlenecks
by: Laguna, Sonia, et al.
Published: (2025)
by: Laguna, Sonia, et al.
Published: (2025)
HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding
by: Chen, Zhaorun, et al.
Published: (2024)
by: Chen, Zhaorun, et al.
Published: (2024)
Sparse Deep Additive Model with Interactions: Enhancing Interpretability and Predictability
by: Hung, Yi-Ting, et al.
Published: (2025)
by: Hung, Yi-Ting, et al.
Published: (2025)
NeurCAM: Interpretable Neural Clustering via Additive Models
by: Upadhya, Nakul, et al.
Published: (2024)
by: Upadhya, Nakul, et al.
Published: (2024)
DNAMite: Interpretable Calibrated Survival Analysis with Discretized Additive Models
by: Van Ness, Mike, et al.
Published: (2024)
by: Van Ness, Mike, et al.
Published: (2024)
Neural Autoregressive Flows for Markov Boundary Learning
by: Nguyen, Khoa, et al.
Published: (2026)
by: Nguyen, Khoa, et al.
Published: (2026)
Leakage and Interpretability in Concept-Based Models
by: Parisini, Enrico, et al.
Published: (2025)
by: Parisini, Enrico, et al.
Published: (2025)
Interpretable Prognostics with Concept Bottleneck Models
by: Forest, Florent, et al.
Published: (2024)
by: Forest, Florent, et al.
Published: (2024)
Concept-Guided Interpretability via Neural Chunking
by: Wu, Shuchen, et al.
Published: (2025)
by: Wu, Shuchen, et al.
Published: (2025)
Enhancing Compositional Generalization via Compositional Feature Alignment
by: Wang, Haoxiang, et al.
Published: (2024)
by: Wang, Haoxiang, et al.
Published: (2024)
InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly
by: Enouen, James, et al.
Published: (2025)
by: Enouen, James, et al.
Published: (2025)
SVDefense: Effective Defense against Gradient Inversion Attacks via Singular Value Decomposition
by: Luo, Chenxiang, et al.
Published: (2025)
by: Luo, Chenxiang, et al.
Published: (2025)
SL-CBM: Enhancing Concept Bottleneck Models with Semantic Locality for Better Interpretability
by: Zhang, Hanwei, et al.
Published: (2026)
by: Zhang, Hanwei, et al.
Published: (2026)
Higher-order Neural Additive Models: An Interpretable Machine Learning Model with Feature Interactions
by: Kim, Minkyu, et al.
Published: (2022)
by: Kim, Minkyu, et al.
Published: (2022)
Federated Concept-Based Models: Interpretable models with distributed supervision
by: Fenoglio, Dario, et al.
Published: (2026)
by: Fenoglio, Dario, et al.
Published: (2026)
Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
by: Zhou, Yiyang, et al.
Published: (2024)
by: Zhou, Yiyang, et al.
Published: (2024)
Spurious Privacy Leakage in Neural Networks
by: Zhang, Chenxiang, et al.
Published: (2025)
by: Zhang, Chenxiang, et al.
Published: (2025)
Hybrid Memory Replay: Blending Real and Distilled Data for Class Incremental Learning
by: Kong, Jiangtao, et al.
Published: (2024)
by: Kong, Jiangtao, et al.
Published: (2024)
CUT: Pruning Pre-Trained Multi-Task Models into Compact Models for Edge Devices
by: Zhou, Jingxuan, et al.
Published: (2025)
by: Zhou, Jingxuan, et al.
Published: (2025)
CRISP-NAM: Competing Risks Interpretable Survival Prediction with Neural Additive Models
by: Ramachandram, Dhanesh, et al.
Published: (2025)
by: Ramachandram, Dhanesh, et al.
Published: (2025)
Hierarchical Neural Additive Models for Interpretable Demand Forecasts
by: Feddersen, Leif, et al.
Published: (2024)
by: Feddersen, Leif, et al.
Published: (2024)
ConceptCaps: a Distilled Concept Dataset for Interpretability in Music Models
by: Sienkiewicz, Bruno, et al.
Published: (2026)
by: Sienkiewicz, Bruno, et al.
Published: (2026)
Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning
by: Xia, Peng, et al.
Published: (2025)
by: Xia, Peng, et al.
Published: (2025)
Task-driven Layerwise Additive Activation Intervention
by: Nguyen, Hieu Trung, et al.
Published: (2025)
by: Nguyen, Hieu Trung, et al.
Published: (2025)
Towards More Trustworthy Deep Code Models by Enabling Out-of-Distribution Detection
by: Yan, Yanfu, et al.
Published: (2025)
by: Yan, Yanfu, et al.
Published: (2025)
Constrained Particle Seeking: Solving Diffusion Inverse Problems with Just Forward Passes
by: Dou, Hongkun, et al.
Published: (2026)
by: Dou, Hongkun, et al.
Published: (2026)
Similar Items
-
General-Purpose Multi-Modal OOD Detection Framework
by: Duong, Viet, et al.
Published: (2023) -
A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments
by: Wang, Yuchen, et al.
Published: (2025) -
Scalable Neural Symbolic Regression using Control Variables
by: Chu, Xieting, et al.
Published: (2023) -
WestWorld: A Knowledge-Encoded Scalable Trajectory World Model for Diverse Robotic Systems
by: Wang, Yuchen, et al.
Published: (2026) -
Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation
by: Chi, Hongliang, et al.
Published: (2025)