:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Aslam, Saba, Rasool, Abdur, Wu, Hongyan, Li, Xiaoli
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2401.08940
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Elastic Weight Consolidation Done Right for Continual Learning
by: Liu, Xuan, et al.
Published: (2026)

AntiPhishStack: LSTM-based Stacked Generalization Model for Optimized Phishing URL Detection
by: Aslam, Saba, et al.
Published: (2024)

Continual Knowledge Consolidation LORA for Domain Incremental Learning
by: Paeedeh, Naeem, et al.
Published: (2025)

Evidential Domain Adaptation for Remaining Useful Life Prediction with Incomplete Degradation
by: Hou, Yubo, et al.
Published: (2026)

Deep Domain Adaptation for Turbofan Engine Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends
by: Wang, Yucheng, et al.
Published: (2025)

Deep Learning for Disease Outbreak Prediction: A Robust Early Warning Signal for Transcritical Bifurcations
by: Miry, Reza, et al.
Published: (2025)

Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
by: Wang, Yilong, et al.
Published: (2025)

Task-Core Memory Management and Consolidation for Long-term Continual Learning
by: Huai, Tianyu, et al.
Published: (2025)

Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration
by: Zhao, Yang, et al.
Published: (2026)

Continual Domain Adversarial Adaptation via Double-Head Discriminators
by: Shen, Yan, et al.
Published: (2024)

DESIRE: Dynamic Knowledge Consolidation for Rehearsal-Free Continual Learning
by: Guo, Haiyang, et al.
Published: (2024)

InTAct: Interval-based Task Activation Consolidation for Continual Learning
by: Krukowski, Patryk, et al.
Published: (2025)

Weight Space Representation Learning via Neural Field Adaptation
by: Yang, Zhuoqian, et al.
Published: (2025)

Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation
by: Zhou, Yangxuan, et al.
Published: (2024)

Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation
by: Ragab, Mohamed, et al.
Published: (2024)

EVCL: Elastic Variational Continual Learning with Weight Consolidation
by: Batra, Hunar, et al.
Published: (2024)

Robust Alzheimer's Progression Modeling using Cross-Domain Self-Supervised Deep Learning
by: Dadsetan, Saba, et al.
Published: (2022)

Towards Interpretable End-Stage Renal Disease (ESRD) Prediction: Utilizing Administrative Claims Data with Explainable AI Techniques
by: Li, Yubo, et al.
Published: (2024)

Elastic Multi-Gradient Descent for Parallel Continual Learning
by: Lyu, Fan, et al.
Published: (2024)

IDOBE: Infectious Disease Outbreak forecasting Benchmark Ecosystem
by: Adiga, Aniruddha, et al.
Published: (2026)

Cross-Domain Continual Learning via CLAMP
by: Weng, Weiwei, et al.
Published: (2024)

ParaGate: Parasitic-Driven Domain Adaptation Transfer Learning for Netlist Performance Prediction
by: Sun, Bin, et al.
Published: (2025)

Exploring Accurate and Transparent Domain Adaptation in Predictive Healthcare via Concept-Grounded Orthogonal Inference
by: Hu, Pengfei, et al.
Published: (2026)

Mixup Domain Adaptations for Dynamic Remaining Useful Life Predictions
by: Furqon, Muhammad Tanzil, et al.
Published: (2024)

How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning
by: Serra, Giuseppe, et al.
Published: (2024)

Learning Dynamic Representations via An Optimally-Weighted Maximum Mean Discrepancy Optimization Framework for Continual Learning
by: Huang, KaiHui, et al.
Published: (2025)

Temporal Restoration and Spatial Rewiring for Source-Free Multivariate Time Series Domain Adaptation
by: Gong, Peiliang, et al.
Published: (2025)

CovidLLM: A Robust Large Language Model with Missing Value Adaptation and Multi-Objective Learning Strategy for Predicting Disease Severity and Clinical Outcomes in COVID-19 Patients
by: Zhu, Shengjun, et al.
Published: (2024)

Lifelong Learning with Behavior Consolidation for Vehicle Routing
by: Pei, Jiyuan, et al.
Published: (2025)

Cyclical Weight Consolidation: Towards Solving Catastrophic Forgetting in Serial Federated Learning
by: Song, Haoyue, et al.
Published: (2024)

Collaborate to Adapt: Source-Free Graph Domain Adaptation via Bi-directional Adaptation
by: Zhang, Zhen, et al.
Published: (2024)

COVID-19 Probability Prediction Using Machine Learning: An Infectious Approach
by: Ilani, Mohsen Asghari, et al.
Published: (2024)

DIDA: Denoised Imitation Learning based on Domain Adaptation
by: Huang, Kaichen, et al.
Published: (2024)

Bayesian-Symbolic Integration for Uncertainty-Aware Parking Prediction
by: Nezhadettehad, Alireza, et al.
Published: (2026)

Words & Weights: Streamlining Multi-Turn Interactions via Co-Adaptation
by: Wei, Chenxing, et al.
Published: (2026)

Matryoshka Model Learning for Improved Elastic Student Models
by: Verma, Chetan, et al.
Published: (2025)

Black-Box Time-Series Domain Adaptation via Cross-Prompt Foundation Models
by: Furqon, M. T., et al.
Published: (2025)

Time Series Domain Adaptation via Latent Invariant Causal Mechanism
by: Cai, Ruichu, et al.
Published: (2025)

Weight Clipping for Deep Continual and Reinforcement Learning
by: Elsayed, Mohamed, et al.
Published: (2024)

Off-Dynamics Reinforcement Learning via Domain Adaptation and Reward Augmented Imitation
by: Guo, Yihong, et al.
Published: (2024)