:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Huang, Sheng-Jun, Li, Yi, Sun, Yiming, Tang, Ying-Peng
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2405.14121
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bidirectional Uncertainty-Based Active Learning for Open Set Annotation
by: Zong, Chen-Chen, et al.
Published: (2024)

A Deep Model for Partial Multi-Label Image Classification with Curriculum Based Disambiguation
by: Sun, Feng, et al.
Published: (2022)

One-shot Federated Learning Methods: A Practical Guide
by: Liu, Xiang, et al.
Published: (2025)

Agnostic Active Learning of Single Index Models with Linear Sample Complexity
by: Gajjar, Aarshvi, et al.
Published: (2024)

Federated Active Learning Under Extreme Non-IID and Global Class Imbalance
by: Zong, Chen-Chen, et al.
Published: (2026)

One-shot Transfer Learning for Population Mapping
by: Shao, Erzhuo, et al.
Published: (2021)

Parametric Feature Transfer: One-shot Federated Learning with Foundation Models
by: Beitollahi, Mahdi, et al.
Published: (2024)

Personalized One-shot Federated Graph Learning for Heterogeneous Clients
by: Yan, Guochen, et al.
Published: (2024)

Differentially Private In-context Learning via Sampling Few-shot Mixed with Zero-shot Outputs
by: Flemings, James, et al.
Published: (2025)

One-shot Conditional Sampling: MMD meets Nearest Neighbors
by: Chatterjee, Anirban, et al.
Published: (2025)

A Unified Solution to Diverse Heterogeneities in One-shot Federated Learning
by: Bai, Jun, et al.
Published: (2024)

Zero-shot Active Learning Using Self Supervised Learning
by: Sinha, Abhishek, et al.
Published: (2024)

Learning to Learn for Few-shot Continual Active Learning
by: Ho, Stella, et al.
Published: (2023)

The Rank and Gradient Lost in Non-stationarity: Sample Weight Decay for Mitigating Plasticity Loss in Reinforcement Learning
by: Wu, Zihao, et al.
Published: (2026)

Beyond Passive Aggregation: Active Auditing and Topology-Aware Defense in Decentralized Federated Learning
by: Pan, Sheng, et al.
Published: (2026)

FLAIN: Mitigating Backdoor Attacks in Federated Learning via Flipping Weight Updates of Low-Activation Input Neurons
by: Ding, Binbin, et al.
Published: (2024)

SMT-Based Active Learning of Weighted Automata
by: Ferreira, Tiago, et al.
Published: (2026)

An Expanded Benchmark that Rediscovers and Affirms the Edge of Uncertainty Sampling for Active Learning in Tabular Datasets
by: Lu, Po-Yi, et al.
Published: (2023)

Deep Intrinsic Coregionalization Multi-Output Gaussian Process Surrogate with Active Learning
by: Chang, Chun-Yi, et al.
Published: (2025)

Outlier-robust Diffusion Posterior Sampling for Bayesian Inverse Problems
by: Yang, Yiming, et al.
Published: (2026)

Feature Weighting Improves Pool-Based Sequential Active Learning for Regression
by: Wu, Dongrui
Published: (2026)

Sample Weight Averaging for Stable Prediction
by: Yu, Han, et al.
Published: (2025)

Querying Easily Flip-flopped Samples for Deep Active Learning
by: Cho, Seong Jin, et al.
Published: (2024)

One-shot Robust Federated Learning of Independent Component Analysis
by: Jin, Dian, et al.
Published: (2025)

Closing the Loop: Coordinating Inventory and Recommendation via Deep Reinforcement Learning on Multiple Timescales
by: Jiang, Jinyang, et al.
Published: (2025)

Equally Critical: Samples, Targets, and Their Mappings in Datasets
by: Yang, Runkang, et al.
Published: (2025)

Aircraft Landing Time Prediction with Deep Learning on Trajectory Images
by: Huang, Liping, et al.
Published: (2024)

Is Fixing Schema Graphs Necessary? Full-Resolution Graph Structure Learning for Relational Deep Learning
by: Huang, Yi, et al.
Published: (2026)

Digital Twin-based Control Co-Design of Full Vehicle Active Suspensions via Deep Reinforcement Learning
by: Tsai, Ying-Kuan, et al.
Published: (2025)

One-shot Empirical Privacy Estimation for Federated Learning
by: Andrew, Galen, et al.
Published: (2023)

How does Labeling Error Impact Contrastive Learning? A Perspective from Data Dimensionality Reduction
by: Chen, Jun, et al.
Published: (2025)

Cooperative Open-ended Learning Framework for Zero-shot Coordination
by: Li, Yang, et al.
Published: (2023)

Improving Generalization of Deep Neural Networks by Optimum Shifting
by: Zhou, Yuyan, et al.
Published: (2024)

ActiveLab: Active Learning with Re-Labeling by Multiple Annotators
by: Goh, Hui Wen, et al.
Published: (2023)

SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression
by: Mozaffari, Mohammad, et al.
Published: (2024)

FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation
by: Liu, Xiang, et al.
Published: (2023)

Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation
by: Wu, Fei, et al.
Published: (2024)

Optimal Rates for Generalization of Gradient Descent for Deep ReLU Classification
by: Li, Yuanfan, et al.
Published: (2025)

Deep Active Learning with Noise Stability
by: Li, Xingjian, et al.
Published: (2022)

Inductive Graph Few-shot Class Incremental Learning
by: Li, Yayong, et al.
Published: (2024)