:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Shiyu, Du, Yuanqi, Guo, Xiaojie, Pan, Bo, Qin, Zhaohui, Zhao, Liang
Format:	Preprint
Published:	2022
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2207.09542
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Can Past Experience Accelerate LLM Reasoning?
by: Pan, Bo, et al.
Published: (2025)

Graph Generative Pre-trained Transformer
by: Chen, Xiaohui, et al.
Published: (2025)

Generalized Flow Matching for Transition Dynamics Modeling
by: Wang, Haibo, et al.
Published: (2024)

Adaptive Budget Allocation for Orthogonal-Subspace Adapter Tuning in LLMs Continual Learning
by: Wan, Zhiyi, et al.
Published: (2025)

GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts
by: Zou, Deyu, et al.
Published: (2023)

DrugSAGE:Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery
by: Zhang, Yikun, et al.
Published: (2026)

Universe Routing: Why Self-Evolving Agents Need Epistemic Control
by: Wang, Zhaohui Geoffrey
Published: (2026)

Text2Data: Low-Resource Data Generation with Textual Control
by: Wang, Shiyu, et al.
Published: (2024)

A Generative Deep Learning Approach for Crash Severity Modeling with Imbalanced Data
by: Chen, Junlan, et al.
Published: (2024)

A Scoping Review of Deep Learning Methods for Photoplethysmography Data
by: Nie, Guangkun, et al.
Published: (2024)

Adaptive Data Exploitation in Deep Reinforcement Learning
by: Yuan, Mingqi, et al.
Published: (2025)

TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations
by: Zhang, Zheng, et al.
Published: (2024)

A Pretrained Probabilistic Transformer for City-Scale Traffic Volume Prediction
by: Shen, Shiyu, et al.
Published: (2025)

Conflict-Averse Gradient Descent for Multi-task Learning
by: Liu, Bo, et al.
Published: (2021)

Aligning Large Language Models with Representation Editing: A Control Perspective
by: Kong, Lingkai, et al.
Published: (2024)

Deep Learning for Multivariate Time Series Imputation: A Survey
by: Wang, Jun, et al.
Published: (2024)

Deep Learning for Modeling and Dispatching Hybrid Wind Farm Power Generation
by: Lawrence, Zach, et al.
Published: (2025)

CARLE: A Hybrid Deep-Shallow Learning Framework for Robust and Explainable RUL Estimation of Rolling Element Bearings
by: Razzaq, Waleed, et al.
Published: (2025)

From Parameters to Performance: A Data-Driven Study on LLM Structure and Development
by: Wang, Suqing, et al.
Published: (2025)

LeapTS: Rethinking Time Series Forecasting as Adaptive Multi-Horizon Scheduling
by: Pan, Sheng, et al.
Published: (2026)

A Decade of Deep Learning: A Survey on The Magnificent Seven
by: Azizov, Dilshod, et al.
Published: (2024)

Temporal Generalization Estimation in Evolving Graphs
by: Lu, Bin, et al.
Published: (2024)

EdgeRL: Reinforcement Learning-driven Deep Learning Model Inference Optimization at Edge
by: Mounesan, Motahare, et al.
Published: (2024)

Federated Generative Learning with Foundation Models
by: Zhang, Jie, et al.
Published: (2023)

Generative Modeling with Flux Matching
by: Pao-Huang, Peter, et al.
Published: (2026)

DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach
by: Chen, Qin, et al.
Published: (2025)

A Survey of Continual Reinforcement Learning
by: Pan, Chaofan, et al.
Published: (2025)

Contrastive and Variational Approaches in Self-Supervised Learning for Complex Data Mining
by: Liang, Yingbin, et al.
Published: (2025)

Origin Tracer: A Method for Detecting LoRA Fine-Tuning Origins in LLMs
by: Liang, Hongyu, et al.
Published: (2025)

Mastering the Game of Guandan with Deep Reinforcement Learning and Behavior Regulating
by: Yanggong, Yifan, et al.
Published: (2024)

MLDGG: Meta-Learning for Domain Generalization on Graphs
by: Tian, Qin, et al.
Published: (2024)

Physics-informed Attention-enhanced Fourier Neural Operator for Solar Magnetic Field Extrapolations
by: Cao, Jinghao, et al.
Published: (2025)

DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments
by: Zheng, Yuxiang, et al.
Published: (2025)

KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly Detection
by: Liang, Zhiyu, et al.
Published: (2025)

Nurse-in-the-Loop Artificial Intelligence for Precision Management of Type 2 Diabetes in a Clinical Trial Utilizing Transfer-Learned Predictive Digital Twin
by: Faruqui, Syed Hasib Akhter, et al.
Published: (2024)

Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
by: Huang, Tianhao, et al.
Published: (2024)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models
by: Chen, Keyu, et al.
Published: (2024)

Physics-Driven Learning Framework for Tomographic Tactile Sensing
by: Yang, Xuanxuan, et al.
Published: (2025)

Topological Deep Learning: A Review of an Emerging Paradigm
by: Zia, Ali, et al.
Published: (2023)

A Secure and Private Distributed Bayesian Federated Learning Design
by: Yang, Nuocheng, et al.
Published: (2026)