:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Xinshun, Xin, He, Hui, Mao, Jing, Liu, Weizhong, Lai, Qingwen, Ye
Format:	Preprint
Publié:	2020
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2005.04088
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Unified Transfer Learning Models in High-Dimensional Linear Regression
par: Liu, Shuo Shuo
Publié: (2023)

Learning Cross-Domain Representations for Transferable Drug Perturbations on Single-Cell Transcriptional Responses
par: Liu, Hui, et autres
Publié: (2024)

Automated Architecture Synthesis for Arbitrarily Structured Neural Networks
par: Liu, Xinshun, et autres
Publié: (2023)

Expectation Error Bounds for Transfer Learning in Linear Regression and Linear Neural Networks
par: Liu, Meitong, et autres
Publié: (2026)

Transfer Learning for Kernel-based Regression
par: Wang, Chao, et autres
Publié: (2023)

SEARL: Joint Optimization of Policy and Tool Graph Memory for Self-Evolving Agents
par: Feng, Xinshun, et autres
Publié: (2026)

DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation
par: Huang, Heyuan, et autres
Publié: (2024)

Automatic Piecewise Linear Regression for Predicting Student Learning Satisfaction
par: Choi, Haemin, et autres
Publié: (2025)

Coefficient Shape Transfer Learning for Functional Linear Regression
par: Jiao, Shuhao, et autres
Publié: (2025)

In-context Learning for Mixture of Linear Regressions: Existence, Generalization and Training Dynamics
par: Jin, Yanhao, et autres
Publié: (2024)

Transfer Learning of CATE with Kernel Ridge Regression
par: Kim, Seok-Jin, et autres
Publié: (2025)

Transfer Learning for Benign Overfitting in High-Dimensional Linear Regression
par: Kim, Yeichan, et autres
Publié: (2025)

Attack-Resistant Uniform Fairness for Linear and Smooth Contextual Bandits
par: Zhang, Qingwen, et autres
Publié: (2026)

Towards Efficient Automatic Self-Pruning of Large Language Models
par: Huang, Weizhong, et autres
Publié: (2025)

Prompt Transfer for Dual-Aspect Cross Domain Cognitive Diagnosis
par: Liu, Fei, et autres
Publié: (2024)

Transferability-Guided Cross-Domain Cross-Task Transfer Learning
par: Tan, Yang, et autres
Publié: (2022)

Behavior Tokens Speak Louder: Disentangled Explainable Recommendation with Behavior Vocabulary
par: Feng, Xinshun, et autres
Publié: (2025)

The Common Intuition to Transfer Learning Can Win or Lose: Case Studies for Linear Regression
par: Dar, Yehuda, et autres
Publié: (2021)

Task Shift: From Classification to Regression in Overparameterized Linear Models
par: LaBonte, Tyler, et autres
Publié: (2025)

Beyond the Node: Clade-level Selection for Efficient MCTS in Automatic Heuristic Design
par: Lai, Kezhao, et autres
Publié: (2026)

Frequency-Domain Regularized Adversarial Alignment for Transferable Attacks against Closed-Source MLLMs
par: Yuan, Leitao, et autres
Publié: (2026)

Enhancing Continuous Domain Adaptation with Multi-Path Transfer Curriculum
par: Liu, Hanbing, et autres
Publié: (2024)

AdaTrans: Feature-wise and Sample-wise Adaptive Transfer Learning for High-dimensional Regression
par: He, Zelin, et autres
Publié: (2024)

Cross-Domain Pre-training with Language Models for Transferable Time Series Representations
par: Cheng, Mingyue, et autres
Publié: (2024)

Semi-supervised Domain Adaptation in Graph Transfer Learning
par: Qiao, Ziyue, et autres
Publié: (2023)

Optimal Transport-Based Domain Adaptation for Rotated Linear Regression
par: Britos, Brian, et autres
Publié: (2025)

Optimal Cross-Validation for Sparse Linear Regression
par: Cory-Wright, Ryan, et autres
Publié: (2023)

Transformers Handle Endogeneity in In-Context Linear Regression
par: Liang, Haodong, et autres
Publié: (2024)

ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain Recommendation
par: Hou, Chaoqun, et autres
Publié: (2024)

TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression
par: He, Zelin, et autres
Publié: (2024)

Efficient Sparse Least Absolute Deviation Regression with Differential Privacy
par: Liu, Weidong, et autres
Publié: (2024)

AVP-Fusion: Adaptive Multi-Modal Fusion and Contrastive Learning for Two-Stage Antiviral Peptide Identification
par: Wen, Xinru, et autres
Publié: (2025)

Learning a Class of Mixed Linear Regressions: Global Convergence under General Data Conditions
par: Liu, Yujing, et autres
Publié: (2025)

One for All: A Non-Linear Transformer can Enable Cross-Domain Generalization for In-Context Reinforcement Learning
par: He, Bowen, et autres
Publié: (2026)

Automatic Self-supervised Learning for Social Recommendations
par: He, Xin, et autres
Publié: (2024)

A Centralized-Distributed Transfer Model for Cross-Domain Recommendation Based on Multi-Source Heterogeneous Transfer Learning
par: Xu, Ke, et autres
Publié: (2024)

ParaGate: Parasitic-Driven Domain Adaptation Transfer Learning for Netlist Performance Prediction
par: Sun, Bin, et autres
Publié: (2025)

Automatic Domain Adaptation by Transformers in In-Context Learning
par: Hataya, Ryuichiro, et autres
Publié: (2024)

Cross-Architecture Transfer Learning for Linear-Cost Inference Transformers
par: Choi, Sehyun
Publié: (2024)

Understanding Forgetting in Continual Learning with Linear Regression
par: Ding, Meng, et autres
Publié: (2024)