:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xiao, Hanxi, Lyu, Fan
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2405.17054
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Fairness-aware Anomaly Detection via Fair Projection
by: Xiao, Feng, et al.
Published: (2025)

Rebalanced Multimodal Learning with Data-aware Unimodal Sampling
by: Jiang, Qingyuan, et al.
Published: (2025)

Dynamic Time-aware Continual User Representation Learning
by: Choi, Seungyoon, et al.
Published: (2025)

Parameter-Selective Continual Test-Time Adaptation
by: Tian, Jiaxu, et al.
Published: (2024)

Feasibility-aware Learning of Robust Temporal Logic Controllers using BarrierNet
by: Liu, Wenliang, et al.
Published: (2025)

Topology-aware Embedding Memory for Continual Learning on Expanding Networks
by: Zhang, Xikun, et al.
Published: (2024)

Regression-aware Continual Learning for Android Malware Detection
by: Ghiani, Daniele, et al.
Published: (2025)

Confidence-aware Contrastive Learning for Selective Classification
by: Wu, Yu-Chang, et al.
Published: (2024)

Robust and Generalizable GNN Fine-Tuning via Uncertainty-aware Adapter Learning
by: Jiang, Bo, et al.
Published: (2025)

A Topology-aware Graph Coarsening Framework for Continual Graph Learning
by: Han, Xiaoxue, et al.
Published: (2024)

DMRL: Data- and Model-aware Reward Learning for Data Extraction
by: Wang, Zhiqiang, et al.
Published: (2025)

Topology-aware Robust Optimization for Out-of-distribution Generalization
by: Qiao, Fengchun, et al.
Published: (2023)

CUAL: Continual Uncertainty-aware Active Learner
by: Rios, Amanda, et al.
Published: (2024)

Lipschitz-aware Linearity Grafting for Certified Robustness
by: Han, Yongjin, et al.
Published: (2025)

Distribution-aware Online Continual Learning for Urban Spatio-Temporal Forecasting
by: Wang, Chengxin, et al.
Published: (2024)

PEANuT: Parameter-Efficient Adaptation with Weight-aware Neural Tweakers
by: Zhong, Yibo, et al.
Published: (2024)

Hessian-aware Training for Enhancing DNNs Resilience to Parameter Corruptions
by: Prato, Tahmid Hasan, et al.
Published: (2025)

Variance-aware Reward Modeling with Anchor Guidance
by: Fang, Shuxing, et al.
Published: (2026)

Foundations of Unknown-aware Machine Learning
by: Du, Xuefeng
Published: (2025)

Sharpness-aware Federated Graph Learning
by: Li, Ruiyu, et al.
Published: (2025)

QJoin: Transformation-aware Joinable Data Discovery Using Reinforcement Learning
by: Wang, Ning, et al.
Published: (2025)

Fragility-aware Classification for Understanding Risk and Improving Generalization
by: Yang, Chen, et al.
Published: (2025)

FedRD: Reducing Divergences for Generalized Federated Learning via Heterogeneity-aware Parameter Guidance
by: Wang, Kaile, et al.
Published: (2026)

GraphShaper: Geometry-aware Alignment for Improving Transfer Learning in Text-Attributed Graphs
by: Zhang, Heng, et al.
Published: (2025)

Optimize Incompatible Parameters through Compatibility-aware Knowledge Integration
by: Lv, Zheqi, et al.
Published: (2025)

Probability-density-aware Semi-supervised Learning
by: Liu, Shuyang, et al.
Published: (2024)

Redundancy-aware Action Spaces for Robot Learning
by: Mazzaglia, Pietro, et al.
Published: (2024)

CaAdam: Improving Adam optimizer using connection aware methods
by: Genet, Remi, et al.
Published: (2024)

Fairness-aware Multiobjective Evolutionary Learning
by: Zhang, Qingquan, et al.
Published: (2024)

STEEL: Singularity-aware Reinforcement Learning
by: Chen, Xiaohong, et al.
Published: (2023)

Online and Customizable Fairness-aware Learning
by: Zhang, Wenbin
Published: (2020)

Shape-aware Graph Spectral Learning
by: Xu, Junjie, et al.
Published: (2023)

General OOD Detection via Model-aware and Subspace-aware Variable Priority
by: Lu, Min, et al.
Published: (2025)

Online Domain-aware LLM Decoding for Continual Domain Evolution
by: Abu-Shaira, Mohammad, et al.
Published: (2026)

An Effective, Robust and Fairness-aware Hate Speech Detection Framework
by: Mou, Guanyi, et al.
Published: (2024)

Domain-incremental White Blood Cell Classification with Privacy-aware Continual Learning
by: Kumari, Pratibha, et al.
Published: (2025)

Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation
by: Paul, Richard D., et al.
Published: (2024)

Feature-aware Modulation for Learning from Temporal Tabular Data
by: Cai, Hao-Run, et al.
Published: (2025)

Geometry-aware Active Learning of Spatiotemporal Dynamic Systems
by: Zhang, Xizhuo, et al.
Published: (2025)

Dependency-aware Maximum Likelihood Estimation for Active Learning
by: Kalkanli, Beyza, et al.
Published: (2025)