:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Liu, Zechen, Zhang, Feiyang, Song, Wei, Li, Xiang, Wei, Wei
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2411.18343
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Fast Fourier Correlation is a Highly Efficient and Accurate Feature Attribution Algorithm from the Perspective of Control Theory and Game Theory
por: Liu, Zechen, et al.
Publicado: (2025)

FreqLens: Interpretable Frequency Attribution for Time Series Forecasting
por: Chen, Chi-Sheng, et al.
Publicado: (2026)

Text2Freq: Learning Series Patterns from Text via Frequency Domain
por: Lo, Ming-Chih, et al.
Publicado: (2024)

Efficient Ensembles Improve Training Data Attribution
por: Deng, Junwei, et al.
Publicado: (2024)

When narrower is better: the narrow width limit of Bayesian parallel branching neural networks
por: Zhang, Zechen, et al.
Publicado: (2024)

Sci-Reasoning: A Dataset Decoding AI Innovation Patterns
por: Liu, Jiachen, et al.
Publicado: (2026)

Impossibility Theorems for Feature Attribution
por: Bilodeau, Blair, et al.
Publicado: (2022)

Hybrid Attribution Priors for Explainable and Robust Model Training
por: Zhang, Zhuoran, et al.
Publicado: (2025)

On the Benefits of Attribute-Driven Graph Domain Adaptation
por: Fang, Ruiyi, et al.
Publicado: (2025)

One-Token Verification for Reasoning Correctness Estimation
por: Zhuang, Zhan, et al.
Publicado: (2026)

The Energy Cost of Reasoning: Analyzing Energy Usage in LLMs with Test-time Compute
por: Jin, Yunho, et al.
Publicado: (2025)

FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation
por: Liu, Xiang, et al.
Publicado: (2023)

FreqCa: Accelerating Diffusion Models via Frequency-Aware Caching
por: Liu, Jiacheng, et al.
Publicado: (2025)

Analyzing Memorization in Large Language Models through the Lens of Model Attribution
por: Menta, Tarun Ram, et al.
Publicado: (2025)

An Intelligent Fault Diagnosis Method for General Aviation Aircraft Based on Multi-Fidelity Digital Twin and FMEA Knowledge Enhancement
por: Wei, Zhihuan, et al.
Publicado: (2026)

A General Method for Proving Networks Universal Approximation Property
por: Wang, Wei
Publicado: (2025)

Advancing Personalized Learning Analysis via an Innovative Domain Knowledge Informed Attention-based Knowledge Tracing Method
por: Kose, Shubham, et al.
Publicado: (2025)

A Dual-Perspective Approach to Evaluating Feature Attribution Methods
por: Li, Yawei, et al.
Publicado: (2023)

DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model
por: Li, Rongqing, et al.
Publicado: (2024)

Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification
por: Li, Nan, et al.
Publicado: (2024)

Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
por: Ren, Weijieying, et al.
Publicado: (2024)

Provable Acceleration of Nesterov's Accelerated Gradient Method over Heavy Ball Method in Training Over-Parameterized Neural Networks
por: Liu, Xin, et al.
Publicado: (2022)

RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical features
por: Song, Jialei, et al.
Publicado: (2025)

EntroLnn: Entropy-Guided Liquid Neural Networks for Operando Refinement of Battery Capacity Fade Trajectories
por: Li, Wei, et al.
Publicado: (2026)

Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs
por: Lei, Runlin, et al.
Publicado: (2025)

Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
por: Zhang, Jingyuan, et al.
Publicado: (2024)

Where Did It Go Wrong? Attributing Undesirable LLM Behaviors via Representation Gradient Tracing
por: Li, Zhe, et al.
Publicado: (2025)

AttributionBench: How Hard is Automatic Attribution Evaluation?
por: Li, Yifei, et al.
Publicado: (2024)

RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation
por: Liu, Zijin, et al.
Publicado: (2024)

Transmission Interface Power Flow Adjustment: A Deep Reinforcement Learning Approach based on Multi-task Attribution Map
por: Liu, Shunyu, et al.
Publicado: (2024)

Entropy-Gated Selective Policy Optimization:Token-Level Gradient Allocation for Hybrid Training of Large Language Models
por: Hu, Yuelin, et al.
Publicado: (2026)

X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains
por: Liu, Qianchu, et al.
Publicado: (2025)

Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation
por: Chen, Wei, et al.
Publicado: (2026)

$\textit{New News}$: System-2 Fine-tuning for Robust Integration of New Knowledge
por: Park, Core Francisco, et al.
Publicado: (2025)

Risk-aware Direct Preference Optimization under Nested Risk Measure
por: Zhang, Lijun, et al.
Publicado: (2025)

CGM-JEPA: Learning Consistent Continuous Glucose Monitor Representations via Predictive Self-Supervised Pretraining
por: Muhammad, Hada Melino, et al.
Publicado: (2026)

Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks
por: Xu, Feiyang, et al.
Publicado: (2024)

TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis
por: Ye, Wen, et al.
Publicado: (2024)

Learning Adaptive Distribution Alignment with Neural Characteristic Function for Graph Domain Adaptation
por: Chen, Wei, et al.
Publicado: (2026)

A Soft Sensor Method with Uncertainty-Awareness and Self-Explanation Based on Large Language Models Enhanced by Domain Knowledge Retrieval
por: Tong, Shuo, et al.
Publicado: (2025)