Image de couverture de livre

Active Learning Methods for Efficient Data Utilization and Model Performance Enhancement

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Tseng, Chiung-Yi, Song, Junhao, Bi, Ziqian, Wang, Tianyang, Liang, Chia Xin, Song, Xinyuan, Liu, Ming
Format:	Preprint
Publié:	2025
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

Is GPT-OSS All You Need? Benchmarking Large Language Models for Financial Intelligence and the Surprising Efficiency Paradox
par: Bi, Ziqian, et autres
Publié: (2025)

47B Mixture-of-Experts Beats 671B Dense Models on Chinese Medical Examinations
par: Tseng, Chiung-Yi, et autres
Publié: (2025)

Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language Models
par: Yang, Junjie, et autres
Publié: (2025)

Mixture of Experts in Large Language Models
par: Zhang, Danyang, et autres
Publié: (2025)

Multimodal Representation Learning and Fusion
par: Jin, Qihang, et autres
Publié: (2025)

Deep Learning, Machine Learning, Advancing Big Data Analytics and Management
par: Hsieh, Weiche, et autres
Publié: (2024)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models
par: Chen, Keyu, et autres
Publié: (2024)

Advanced Deep Learning Methods for Protein Structure Prediction and Design
par: Zhang, Yichao, et autres
Publié: (2025)

Deep Learning and Machine Learning: Advancing Big Data Analytics and Management with Design Patterns
par: Chen, Keyu, et autres
Publié: (2024)

Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models -- AutoML from Basics to State-of-the-Art Techniques
par: Feng, Pohsun, et autres
Publié: (2024)

Affective Multimodal Agents with Proactive Knowledge Grounding for Emotionally Aligned Marketing Dialogue
par: Yu, Lin, et autres
Publié: (2025)

Deep Learning Model Security: Threats and Defenses
par: Wang, Tianyang, et autres
Publié: (2024)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Handy Appetizer
par: Peng, Benji, et autres
Publié: (2024)

Predicting ICU In-Hospital Mortality Using Adaptive Transformer Layer Fusion
par: Wang, Han, et autres
Publié: (2025)

A Comprehensive Guide to Explainable AI: From Classical Models to LLMs
par: Hsieh, Weiche, et autres
Publié: (2024)

Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications
par: Feng, Pohsun, et autres
Publié: (2024)

Is GPT-OSS Good? A Comprehensive Evaluation of OpenAI's Latest Open Source Models
par: Bi, Ziqian, et autres
Publié: (2025)

Deep Learning and Machine Learning -- Python Data Structures and Mathematics Fundamental: From Theory to Practice
par: Chen, Silin, et autres
Publié: (2024)

LF2L: Loss Fusion Horizontal Federated Learning Across Heterogeneous Feature Spaces Using External Datasets Effectively: A Case Study in Second Primary Cancer Prediction
par: Lin, Chia-Fu, et autres
Publié: (2026)

Early Prediction of In-Hospital ICU Mortality Using Innovative First-Day Data: A Review
par: Huang, Baozhu, et autres
Publié: (2025)

Memory-Augmented Spiking Networks: Synergistic Integration of Complementary Mechanisms for Neuromorphic Vision
par: Blessing, Effiong, et autres
Publié: (2026)

Towards Alignment-Centric Paradigm: A Survey of Instruction Tuning in Large Language Models
par: Han, Xudong, et autres
Publié: (2025)

Achieving Trustworthy Real-Time Decision Support Systems with Low-Latency Interpretable AI Models
par: Deng, Zechun, et autres
Publié: (2025)

Generative Adversarial Networks Bridging Art and Machine Intelligence
par: Song, Junhao, et autres
Publié: (2025)

Efficient Reinforcement Learning via Decoupling Exploration and Utilization
par: Yang, Jingpu, et autres
Publié: (2023)

StreetMath: Study of LLMs' Approximation Behaviors
par: Tseng, Chiung-Yi, et autres
Publié: (2025)

FL-Sailer: Efficient and Privacy-Preserving Federated Learning for Scalable Single-Cell Epigenetic Data Analysis via Adaptive Sampling
par: Zhang, Guangyi, et autres
Publié: (2026)

From Noise to Nuance: Advances in Deep Generative Image Models
par: Peng, Benji, et autres
Publié: (2024)

Jailbreaking and Mitigation of Vulnerabilities in Large Language Models
par: Peng, Benji, et autres
Publié: (2024)

ActTail: Global Activation Sparsity in Large Language Models
par: Hou, Wenwen, et autres
Publié: (2026)

Foundation-Model Surrogates Enable Data-Efficient Active Learning for Materials Discovery
par: Hu, Jeffrey, et autres
Publié: (2026)

From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing
par: Sun, Xintian, et autres
Publié: (2024)

StructPrune: Structured Global Pruning asymptotics with $\mathcal{O}(\sqrt{N})$ GPU Memory
par: Song, Xinyuan, et autres
Publié: (2025)

Modality-Dependent Memory Mechanisms in Cross-Modal Neuromorphic Computing
par: Blessing, Effiong, et autres
Publié: (2025)

When Judgment Becomes Noise: How Design Failures in LLM Judge Benchmarks Silently Undermine Validity
par: Feuer, Benjamin, et autres
Publié: (2025)

ReX: A Framework for Incorporating Temporal Information in Model-Agnostic Local Explanation Techniques
par: Liu, Junhao, et autres
Publié: (2022)

A Generative Model Enhanced Multi-Agent Reinforcement Learning Method for Electric Vehicle Charging Navigation
par: Qi, Tianyang, et autres
Publié: (2025)

FedGroup: Efficient Clustered Federated Learning via Decomposed Data-Driven Measure
par: Duan, Moming, et autres
Publié: (2020)

Data Verification is the Future of Quantum Computing Copilots
par: Song, Junhao, et autres
Publié: (2026)

A Comprehensive Survey and Guide to Multimodal Large Language Models in Vision-Language Tasks
par: Liang, Chia Xin, et autres
Publié: (2024)