:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Ren, Hongrun, Xiong, Yun, You, Lei, Wang, Yingying, Xiong, Haixu, Zhu, Yangyong
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2511.03368
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Online Prompt Pricing based on Combinatorial Multi-Armed Bandit and Hierarchical Stackelberg Game
par: Li, Meiling, et autres
Publié: (2024)

Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need
par: Peng, Sijia, et autres
Publié: (2024)

ShapeCond: Fast Shapelet-Guided Dataset Condensation for Time Series Classification
par: Peng, Sijia, et autres
Publié: (2026)

Can LLMs Predict Polymer Physics Just by Reading Synthesis and Processing Prose?
par: Liu, Yuchu, et autres
Publié: (2026)

Online Learning for Equilibrium Pricing in Markets under Incomplete Information
par: Jalota, Devansh, et autres
Publié: (2023)

DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning
par: Wang, Yingying, et autres
Publié: (2024)

Layer Pruning with Consensus: A Triple-Win Solution
par: Mugnaini, Leandro Giusti, et autres
Publié: (2024)

Probabilistic Functional Neural Networks
par: Wang, Haixu, et autres
Publié: (2025)

Graph Triple Attention Network: A Decoupled Perspective
par: Wang, Xiaotang, et autres
Publié: (2024)

ToolACE: Winning the Points of LLM Function Calling
par: Liu, Weiwen, et autres
Publié: (2024)

Representation learning of dynamic networks
par: Wang, Haixu, et autres
Publié: (2024)

Exploring the Potential of Probabilistic Transformer for Time Series Modeling: A Report on the ST-PT Framework
par: Xiong, Zhangzhi, et autres
Publié: (2026)

Theoretical Analysis of Contrastive Learning under Imbalanced Data: From Training Dynamics to a Pruning Solution
par: Liao, Haixu, et autres
Publié: (2026)

How to Compress KV Cache in RL Post-Training? Shadow Mask Distillation for Memory-Efficient Alignment
par: Zhu, Rui, et autres
Publié: (2026)

A Fixed-Point Approach for Causal Generative Modeling
par: Scetbon, Meyer, et autres
Publié: (2024)

MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models
par: Yu, Zichun, et autres
Publié: (2024)

Fixed Point Explainability
par: La Malfa, Emanuele, et autres
Publié: (2025)

Nash CoT: Multi-Path Inference with Preference Equilibrium
par: Zhang, Ziqi, et autres
Publié: (2024)

Fixed Point Diffusion Models
par: Bai, Xingjian, et autres
Publié: (2024)

Harnessing Unimodality in Semiparametric Contextual Pricing via Oracle Price Map Learning
par: Fan, Yingying, et autres
Publié: (2026)

Whoever Started the Interference Should End It: Guiding Data-Free Model Merging via Task Vectors
par: Cheng, Runxi, et autres
Publié: (2025)

Minimax Optimality in Contextual Dynamic Pricing with General Valuation Models
par: Gong, Xueping, et autres
Publié: (2024)

Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting
par: Guo, Zhuoning, et autres
Publié: (2024)

Predicting the Price of Gold in the Financial Markets Using Hybrid Models
par: Rashidi, Mohammadhossein, et autres
Publié: (2025)

Labor Migration Modeling through Large-scale Job Query Data
par: Guo, Zhuoning, et autres
Publié: (2024)

Entire Chain Uplift Modeling with Context-Enhanced Learning for Intelligent Marketing
par: Huang, Yinqiu, et autres
Publié: (2024)

Contextual Online Pricing with (Biased) Offline Data
par: Zhang, Yixuan, et autres
Publié: (2025)

Unveiling Deepfakes: A Frequency-Aware Triple Branch Network for Deepfake Detection
par: Shen, Qihao, et autres
Publié: (2026)

Learning to Price: Interpretable Attribute-Level Models for Dynamic Markets
par: Sethuraman, Srividhya, et autres
Publié: (2026)

WinQ: Accelerating Quantization-Aware Training of Language Models Around Saddle Points
par: Li, Dongyue, et autres
Publié: (2026)

Enhancing Masked Time-Series Modeling via Dropping Patches
par: Qiu, Tianyu, et autres
Publié: (2024)

Amortized Inference of Causal Models via Conditional Fixed-Point Iterations
par: Mahajan, Divyat, et autres
Publié: (2024)

Interpretable Feature Interaction via Statistical Self-supervised Learning on Tabular Data
par: Zhang, Xiaochen, et autres
Publié: (2025)

Classification Auto-Encoder based Detector against Diverse Data Poisoning Attacks
par: Razmi, Fereshteh, et autres
Publié: (2021)

Graph Signal Diffusion Model for Collaborative Filtering
par: Zhu, Yunqin, et autres
Publié: (2023)

Mini-Giants: "Small" Language Models and Open Source Win-Win
par: Zhou, Zhengping, et autres
Publié: (2023)

Proofread: Fixes All Errors with One Tap
par: Liu, Renjie, et autres
Publié: (2024)

Leveraging Asynchronous Cross-border Market Data for Improved Day-Ahead Electricity Price Forecasting in European Markets
par: Mascarenhas, Maria Margarida, et autres
Publié: (2025)

Iterative Refinement Neural Operators are Learned Fixed-Point Solvers: A Principled Approach to Spectral Bias Mitigation
par: Liu, Xiaotian, et autres
Publié: (2026)

A Comprehensive Study of Deep Learning Model Fixing Approaches
par: You, Hanmo, et autres
Publié: (2025)