Cover Image

Language-Induced Priors for Domain Adaptation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Qiyuan, Zhou, Jiayu, Kontar, Raed Al
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Online Learning of Optimal Sequential Testing Policies
by: Chen, Qiyuan, et al.
Published: (2025)

The Traveling Bandit: A Framework for Bayesian Optimization with Movement Costs
by: Chen, Qiyuan, et al.
Published: (2024)

Collaborative and Federated Black-box Optimization: A Bayesian Optimization Perspective
by: Kontar, Raed Al
Published: (2024)

Real-time Adaptation for Condition Monitoring Signal Prediction using Label-aware Neural Processes
by: Chung, Seokhyun, et al.
Published: (2024)

Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling
by: Yue, Xubo, et al.
Published: (2021)

Rethinking Cost-sensitive Classification in Deep Learning via Adversarial Data Augmentation
by: Chen, Qiyuan, et al.
Published: (2022)

Personalized PCA: Decoupling Shared and Unique Features
by: Shi, Naichen, et al.
Published: (2022)

Triple Component Matrix Factorization: Untangling Global, Local, and Noisy Components
by: Shi, Naichen, et al.
Published: (2024)

Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits
by: Chen, Hao, et al.
Published: (2021)

FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning
by: Kosolwattana, Tanapol, et al.
Published: (2024)

Personalized Tucker Decomposition: Modeling Commonality and Peculiarity on Tensor Data
by: Hu, Jiuyun, et al.
Published: (2023)

Collaborative Contextual Bayesian Optimization
by: Chang, Chih-Yu, et al.
Published: (2026)

LLINBO: Trustworthy LLM-in-the-Loop Bayesian Optimization
by: Chang, Chih-Yu, et al.
Published: (2025)

Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal Design
by: Yue, Xubo, et al.
Published: (2023)

A Collaborative Process Parameter Recommender System for Fleets of Networked Manufacturing Machines -- with Application to 3D Printing
by: Wang, Weishi, et al.
Published: (2025)

Behavioral Heterogeneity as Quantum-Inspired Representation
by: Elayan, Mohammad, et al.
Published: (2026)

Knowledge-Data Fusion Based Source-Free Semi-Supervised Domain Adaptation for Seizure Subtype Classification
by: Peng, Ruimin, et al.
Published: (2024)

SMORE: Similarity-based Hyperdimensional Domain Adaptation for Multi-Sensor Time Series Classification
by: Wang, Junyao, et al.
Published: (2024)

PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference
by: Yang, Yang, et al.
Published: (2025)

Partial Identifiability for Domain Adaptation
by: Kong, Lingjing, et al.
Published: (2023)

Mixture-of-Experts for Open Set Domain Adaptation: A Dual-Space Detection Approach
by: Du, Zhenbang, et al.
Published: (2023)

Gradual Domain Adaptation for Graph Learning
by: Lei, Pui Ieng, et al.
Published: (2025)

Reinforced Domain Selection for Continuous Domain Adaptation
by: Liu, Hanbing, et al.
Published: (2025)

DriVLM: Domain Adaptation of Vision-Language Models in Autonomous Driving
by: Zheng, Xuran, et al.
Published: (2025)

Semi-supervised Domain Adaptation in Graph Transfer Learning
by: Qiao, Ziyue, et al.
Published: (2023)

Global Variational Inference Enhanced Robust Domain Adaptation
by: Luo, Lingkun, et al.
Published: (2025)

Prior-Aligned Meta-RL: Thompson Sampling with Learned Priors and Guarantees in Finite-Horizon MDPs
by: Zhou, Runlin, et al.
Published: (2025)

Proxy Methods for Domain Adaptation
by: Tsai, Katherine, et al.
Published: (2024)

Bayesian Neural Networks with Domain Knowledge Priors
by: Sam, Dylan, et al.
Published: (2024)

COSMOS: Predictable and Cost-Effective Adaptation of LLMs
by: Wang, Jiayu, et al.
Published: (2025)

GAIN: Multiplicative Modulation for Domain Adaptation
by: Yao, Hengshuai, et al.
Published: (2026)

Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation
by: Luo, Lingkun, et al.
Published: (2025)

Selection, Ensemble, and Adaptation: Advancing Multi-Source-Free Domain Adaptation via Architecture Zoo
by: Pei, Jiangbo, et al.
Published: (2024)

EvoStruct: Bridging Evolutionary and Structural Priors for Antibody CDR Design via Protein Language Model Adaptation
by: Ahmed, Mansoor, et al.
Published: (2026)

Policy-Driven World Model Adaptation for Robust Offline Model-based Reinforcement Learning
by: Chen, Jiayu, et al.
Published: (2025)

DynaMo: Runtime Switchable Quantization for MoE with Cross-Dataset Adaptation
by: Zheng, Zihao, et al.
Published: (2025)

Provable Domain Adaptation for Offline Reinforcement Learning with Limited Samples
by: Chen, Weiqin, et al.
Published: (2024)

Parsing the Language of Expression: Enhancing Symbolic Regression with Domain-Aware Symbolic Priors
by: Huang, Sikai, et al.
Published: (2025)

Tunable Domain Adaptation Using Unfolding
by: Reddy, Snehaa, et al.
Published: (2026)

Estimating Subgraph Importance with Structural Prior Domain Knowledge
by: Kim, Changhyun, et al.
Published: (2026)