Image de couverture de livre

CC-OR-Net: A Unified Framework for LTV Prediction through Structural Decoupling

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhao, Mingyu, Bai, Haoran, Tian, Yu, Zhu, Bing, Luo, Hengliang
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

AgentLTV: An Agent-Based Unified Search-and-Evolution Framework for Automated Lifetime Value Prediction
par: Wu, Chaowei, et autres
Publié: (2026)

TTF: A Trapezoidal Temporal Fusion Framework for LTV Forecasting in Douyin
par: Wan, Yibing, et autres
Publié: (2025)

Time-aware Heterogeneous Graph Transformer with Adaptive Attention Merging for Health Event Prediction
par: Li, Shibo, et autres
Publié: (2024)

ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising
par: Wang, Ruize, et autres
Publié: (2024)

MobileFineTuner: A Unified End-to-End Framework for Fine-Tuning LLMs on Mobile Phones
par: Geng, Jiaxiang, et autres
Publié: (2025)

PAF-Net: Phase-Aligned Frequency Decoupling Network for Multi-Process Manufacturing Quality Prediction
par: Luo, Yang, et autres
Publié: (2025)

Rethinking Crystal Symmetry Prediction: A Decoupled Perspective
par: Yu, Liheng, et autres
Publié: (2025)

Unified Low-rank Compression Framework for Click-through Rate Prediction
par: Yu, Hao, et autres
Publié: (2024)

Decoupling KL and Trajectories: A Unified Perspective for SFT, DAgger, Offline RL, and OPD in LLM Distillation
par: Zhao, Anhao, et autres
Publié: (2026)

A Unified Evaluation Framework for Epistemic Predictions
par: Manchingal, Shireen Kudukkil, et autres
Publié: (2025)

Certified Unlearning in Decentralized Federated Learning
par: Wu, Hengliang, et autres
Publié: (2026)

Optimal Spatio-Temporal Decoupling for Bayesian Conformal Prediction
par: Fang, Yu-Hsueh, et autres
Publié: (2026)

Decoupling Search and Learning in Neural Net Training
par: Vegesna, Akshay, et autres
Publié: (2025)

DHIL-GT: Scalable Graph Transformer with Decoupled Hierarchy Labeling
par: Liao, Ningyi, et autres
Publié: (2024)

Diffmv: A Unified Diffusion Framework for Healthcare Predictions with Random Missing Views and View Laziness
par: Zhao, Chuang, et autres
Publié: (2025)

Big2Small: A Unifying Neural Network Framework for Model Compression
par: Liao, Jing-Xiao, et autres
Publié: (2026)

Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming
par: Zhao, Yingxue, et autres
Publié: (2025)

A Unified Gradient-based Framework for Task-agnostic Continual Learning-Unlearning
par: Huang, Zhehao, et autres
Publié: (2025)

Generative Distribution Prediction: A Unified Approach to Multimodal Learning
par: Tian, Xinyu, et autres
Publié: (2025)

Robust Change Captioning in Remote Sensing: SECOND-CC Dataset and MModalCC Framework
par: Karaca, Ali Can, et autres
Publié: (2025)

TextResNet: Decoupling and Routing Optimization Signals in Compound AI Systems via Deep Residual Tuning
par: Huang, Suizhi, et autres
Publié: (2026)

PeakFocus: Bridging Peak Localization and Intensity Regression via a Unified Multi-Scale Framework for Electricity Load Forecasting
par: Yu, Wangzhi, et autres
Publié: (2026)

Conformal Selective Prediction with General Risk Control
par: Bai, Tian, et autres
Publié: (2026)

A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data
par: Miao, Hao, et autres
Publié: (2024)

GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping
par: An, Bang, et autres
Publié: (2024)

A Unified Framework for U-Net Design and Analysis
par: Williams, Christopher, et autres
Publié: (2023)

CC-Time: Cross-Model and Cross-Modality Time Series Forecasting
par: Chen, Peng, et autres
Publié: (2025)

OMPO: A Unified Framework for RL under Policy and Dynamics Shifts
par: Luo, Yu, et autres
Publié: (2024)

SAGE: Semantic-Aware Shared Sampling for Efficient Diffusion
par: Zhao, Haoran, et autres
Publié: (2025)

A Unified Generative-Predictive Framework for Deterministic Inverse Design
par: Batley, Reza T., et autres
Publié: (2025)

HeterSEED: Semantics-Structure Decoupling for Heterogeneous Graph Learning under Heterophily
par: Li, Xinyi, et autres
Publié: (2026)

ASSESS: A Semantic and Structural Evaluation Framework for Statement Similarity
par: Liu, Xiaoyang, et autres
Publié: (2025)

TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction
par: Yu, Dahai, et autres
Publié: (2026)

Communications-Incentivized Collaborative Reasoning in NetGPT through Agentic Reinforcement Learning
par: Yu, Xiaoxue, et autres
Publié: (2026)

Is Algorithmic Stability Testable? A Unified Framework under Computational Constraints
par: Luo, Yuetian, et autres
Publié: (2024)

Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases
par: Li, Ning, et autres
Publié: (2025)

Uni-Instruct: One-step Diffusion Model through Unified Diffusion Divergence Instruction
par: Wang, Yifei, et autres
Publié: (2025)

Decompose, Structure, and Repair: A Neuro-Symbolic Framework for Autoformalization via Operator Trees
par: Liu, Xiaoyang, et autres
Publié: (2026)

Learning to Decouple Complex Systems
par: Zhou, Zihan, et autres
Publié: (2023)

GReF: A Unified Generative Framework for Efficient Reranking via Ordered Multi-token Prediction
par: Lin, Zhijie, et autres
Publié: (2025)