:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Ruiyu, Wang, Sen, Zuo, Xinxin, Sun, Qiang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2503.06213
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AltNet: Addressing the Plasticity-Stability Dilemma in Reinforcement Learning
by: Maheshwari, Mansi, et al.
Published: (2025)

Escaping Stability-Plasticity Dilemma in Online Continual Learning for Motion Forecasting via Synergetic Memory Rehearsal
by: Lin, Yunlong, et al.
Published: (2025)

CAD-Tokenizer: Towards Text-based CAD Prototyping via Modality-Specific Tokenization
by: Wang, Ruiyu, et al.
Published: (2025)

UniPredict: Large Language Models are Universal Tabular Classifiers
by: Wang, Ruiyu, et al.
Published: (2023)

Experience Replay Addresses Loss of Plasticity in Continual Learning
by: Wang, Jiuqi, et al.
Published: (2025)

Bridging Lifelong and Multi-Task Representation Learning via Algorithm and Complexity Measure
by: Wang, Zhi, et al.
Published: (2025)

On the Plasticity and Stability for Post-Training Large Language Models
by: Qiang, Wenwen, et al.
Published: (2026)

U-TELL: Unsupervised Task Expert Lifelong Learning
by: Solomon, Indu, et al.
Published: (2024)

Addressing the Collaboration Dilemma in Low-Data Federated Learning via Transient Sparsity
by: Xiao, Qiao, et al.
Published: (2025)

Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion
by: Jaziri, Achref, et al.
Published: (2024)

Neuron-level Balance between Stability and Plasticity in Deep Reinforcement Learning
by: Lan, Jiahua, et al.
Published: (2025)

Task-Aware Multi-Expert Architecture For Lifelong Deep Learning
by: Wang, Jianyu, et al.
Published: (2025)

Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning
by: Elsayed, Mohamed, et al.
Published: (2024)

Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific Adaptation
by: Dey, Vishal, et al.
Published: (2024)

Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
by: Li, Jiashuo, et al.
Published: (2024)

Sequential Counterfactual Inference for Temporal Clinical Data: Addressing the Time Traveler Dilemma
by: Cheng, Jingya, et al.
Published: (2026)

NeuroPlastic: A Plasticity-Modulated Optimizer for Biologically Inspired Learning Dynamics
by: Jiang, Douglas, et al.
Published: (2026)

DOLFIN: Balancing Stability and Plasticity in Federated Continual Learning
by: Moussadek, Omayma, et al.
Published: (2025)

Toward Lifelong Learning in Equilibrium Propagation: Sleep-like and Awake Rehearsal for Enhanced Stability
by: Kubo, Yoshimasa, et al.
Published: (2025)

ALDI-ray: Adapting the ALDI Framework for Security X-ray Object Detection
by: Heidari, Omid Reza, et al.
Published: (2025)

Biased or Flawed? Mitigating Stereotypes in Generative Language Models by Addressing Task-Specific Flaws
by: Jha, Akshita, et al.
Published: (2024)

Simple Lifelong Learning Machines
by: Dey, Jayanta, et al.
Published: (2020)

Privacy-Aware Lifelong Learning
by: Özdenizci, Ozan, et al.
Published: (2025)

Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
by: Ma, Guozheng, et al.
Published: (2023)

Sparsity-Driven Plasticity in Multi-Task Reinforcement Learning
by: Todorov, Aleksandar, et al.
Published: (2025)

Dynamic Adaptation of LoRA Fine-Tuning for Efficient and Task-Specific Optimization of Large Language Models
by: Liao, Xiaoxuan, et al.
Published: (2025)

Mission-driven Exploration for Accelerated Deep Reinforcement Learning with Temporal Logic Task Specifications
by: Wang, Jun, et al.
Published: (2023)

Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models
by: Wang, Ruiyu, et al.
Published: (2025)

SOLAR: A Self-Optimizing Open-Ended Autonomous Agent for Lifelong Learning and Continual Adaptation
by: Vetcha, Nitin, et al.
Published: (2026)

Neuromorphic Cybersecurity with Semi-supervised Lifelong Learning
by: Mia, Md Zesun Ahmed, et al.
Published: (2025)

TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform
by: Liu, Jun, et al.
Published: (2025)

Keep Rehearsing and Refining: Lifelong Learning Vehicle Routing under Continually Drifting Tasks
by: Pei, Jiyuan, et al.
Published: (2026)

Towards Task Sampler Learning for Meta-Learning
by: Wang, Jingyao, et al.
Published: (2023)

Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective
by: Lu, Aojun, et al.
Published: (2025)

Flashbacks to Harmonize Stability and Plasticity in Continual Learning
by: Mahmoodi, Leila, et al.
Published: (2025)

Lifelong Reinforcement Learning via Neuromodulation
by: Lee, Sebastian, et al.
Published: (2024)

Lifelong Graph Learning for Graph Summarization
by: Frank, Jonatan, et al.
Published: (2024)

LoopSR: Looping Sim-and-Real for Lifelong Policy Adaptation of Legged Robots
by: Wu, Peilin, et al.
Published: (2024)

Unlock the Potential of Large Language Models for Predictive Tabular Tasks in Data Science with Table-Specific Pretraining
by: Yang, Yazheng, et al.
Published: (2024)

Neuro-Logic Lifelong Learning
by: He, Bowen, et al.
Published: (2025)