:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lyu, Fan, Liu, Daofeng, Zhao, Linglan, Zhang, Zhang, Shang, Fanhua, Hu, Fuyuan, Feng, Wei, Wang, Liang
Format:	Preprint
Publié:	2024
Sujets:	Machine Learning
Accès en ligne:	https://arxiv.org/abs/2405.09133
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Controllable Continual Test-Time Adaptation
par: Shi, Ziqi, et autres
Publié: (2024)

Elastic Multi-Gradient Descent for Parallel Continual Learning
par: Lyu, Fan, et autres
Publié: (2024)

Conformal Uncertainty Indicator for Continual Test-Time Adaptation
par: Lyu, Fan, et autres
Publié: (2025)

Variational Continual Test-Time Adaptation
par: Lyu, Fan, et autres
Publié: (2024)

Less is More: Pseudo-Label Filtering for Continual Test-Time Adaptation
par: Tan, Jiayao, et autres
Publié: (2024)

Towards stable training of parallel continual learning
par: Yuepan, Li, et autres
Publié: (2024)

Test-Time Discovery via Hashing Memory
par: Lyu, Fan, et autres
Publié: (2025)

Taming Preconditioner Drift: Unlocking the Potential of Second-Order Optimizers for Federated Learning on Non-IID Data
par: Liu, Junkang, et autres
Publié: (2026)

ILoRA: Federated Learning with Low-Rank Adaptation for Heterogeneous Client Aggregation
par: Zhou, Junchao, et autres
Publié: (2025)

SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models
par: Zhao, Linglan, et autres
Publié: (2024)

Ambiguity-Guided Learnable Distribution Calibration for Semi-Supervised Few-Shot Class-Incremental Learning
par: Lyu, Fan, et autres
Publié: (2025)

FedSWA: Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging
par: junkang, Liu, et autres
Publié: (2025)

FedNSAM:Consistency of Local and Global Flatness for Federated Learning
par: Liu, Junkang, et autres
Publié: (2026)

CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning
par: Liu, Chengyan, et autres
Publié: (2024)

FedMuon: Accelerating Federated Learning with Matrix Orthogonalization
par: Liu, Junkang, et autres
Publié: (2025)

Collaborative Performance Prediction for Large Language Models
par: Zhang, Qiyuan, et autres
Publié: (2024)

Overcoming Negative Transfer by Online Selection: Distant Domain Adaptation for Fault Diagnosis
par: Wang, Ziyan, et autres
Publié: (2024)

Constructing Enhanced Mutual Information for Online Class-Incremental Learning
par: Zhang, Huan, et autres
Publié: (2024)

A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation
par: Tang, Xing, et autres
Publié: (2025)

Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning
par: Qian, Fuyuan, et autres
Publié: (2026)

Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents
par: Zhang, Menglong, et autres
Publié: (2024)

FedPall: Prototype-based Adversarial and Collaborative Learning for Federated Learning with Feature Drift
par: Zhang, Yong, et autres
Publié: (2025)

FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning
par: Liu, Junkang, et autres
Publié: (2026)

DP-FedPGN: Finding Global Flat Minima for Differentially Private Federated Learning via Penalizing Gradient Norm
par: Liu, Junkang, et autres
Publié: (2025)

AR2: Attention-Guided Repair for the Robustness of CNNs Against Common Corruptions
par: Zhang, Fuyuan, et autres
Publié: (2025)

Sparse Tuning Enhances Plasticity in PTM-based Continual Learning
par: Zhang, Huan, et autres
Publié: (2025)

Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting
par: Zhan, Tianxiang, et autres
Publié: (2025)

Towards Effective Graph Rationalization via Boosting Environment Diversity
par: Wang, Yujie, et autres
Publié: (2024)

Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation
par: Yin, Hongmei, et autres
Publié: (2025)

Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
par: Yu, En, et autres
Publié: (2023)

ICE-SEARCH: A Language Model-Driven Feature Selection Approach
par: Yang, Tianze, et autres
Publié: (2024)

OLC-WA: Drift Aware Tuning-Free Online Classification with Weighted Average
par: Shaira, Mohammad Abu, et autres
Publié: (2025)

Improving Data-aware and Parameter-aware Robustness for Continual Learning
par: Xiao, Hanxi, et autres
Publié: (2024)

PITE: Multi-Prototype Alignment for Individual Treatment Effect Estimation
par: Cao, Fuyuan, et autres
Publié: (2025)

Online Drift Detection with Maximum Concept Discrepancy
par: Wan, Ke, et autres
Publié: (2024)

Overcoming Growth-Induced Forgetting in Task-Agnostic Continual Learning
par: Zhao, Yuqing, et autres
Publié: (2024)

Conditional Information Bottleneck for Multimodal Fusion: Overcoming Shortcut Learning in Sarcasm Detection
par: Wang, Yihua, et autres
Publié: (2025)

PVBF: A Framework for Mitigating Parameter Variation Imbalance in Online Continual Learning
par: Tao, Zelin, et autres
Publié: (2025)

OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
par: Weng, Yunpeng, et autres
Publié: (2024)

Damba-ST: Domain-Adaptive Mamba for Efficient Urban Spatio-Temporal Prediction
par: An, Rui, et autres
Publié: (2025)