Saved in:
| Main Authors: | Yarabolu, Vennela, Waghmare, Govind, Gupta, Sonia, Asthana, Siddhartha |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.15616 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes
by: Waghmare, Govind, et al.
Published: (2022)
by: Waghmare, Govind, et al.
Published: (2022)
Efficient Graph Understanding with LLMs via Structured Context Injection
by: Waghmare, Govind, et al.
Published: (2025)
by: Waghmare, Govind, et al.
Published: (2025)
Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs
by: Gupta, Arman, et al.
Published: (2025)
by: Gupta, Arman, et al.
Published: (2025)
Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks
by: Waghmare, Govind, et al.
Published: (2026)
by: Waghmare, Govind, et al.
Published: (2026)
DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts
by: Aspis, Miguel, et al.
Published: (2025)
by: Aspis, Miguel, et al.
Published: (2025)
Causal Explanation of Concept Drift -- A Truly Actionable Approach
by: Komnick, David, et al.
Published: (2025)
by: Komnick, David, et al.
Published: (2025)
Lyapunov-Stable Adaptive Control for Multimodal Concept Drift
by: Pan, Tianyu Bell, et al.
Published: (2025)
by: Pan, Tianyu Bell, et al.
Published: (2025)
Early Concept Drift Detection via Prediction Uncertainty
by: Lu, Pengqian, et al.
Published: (2024)
by: Lu, Pengqian, et al.
Published: (2024)
Investigating the Robustness of Knowledge Tracing Models in the Presence of Student Concept Drift
by: Lee, Morgan, et al.
Published: (2025)
by: Lee, Morgan, et al.
Published: (2025)
An Adaptive Sampling Framework for Detecting Localized Concept Drift under Label Scarcity
by: Pyeon, Junghee, et al.
Published: (2025)
by: Pyeon, Junghee, et al.
Published: (2025)
ProteuS: A Generative Approach for Simulating Concept Drift in Financial Markets
by: Suárez-Cetrulo, Andrés L., et al.
Published: (2025)
by: Suárez-Cetrulo, Andrés L., et al.
Published: (2025)
FLAME: Adaptive and Reactive Concept Drift Mitigation for Federated Learning Deployments
by: Mavromatis, Ioannis, et al.
Published: (2024)
by: Mavromatis, Ioannis, et al.
Published: (2024)
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
by: Yu, En, et al.
Published: (2023)
by: Yu, En, et al.
Published: (2023)
KMM-CP: Practical Conformal Prediction under Covariate Shift via Selective Kernel Mean Matching
by: Laghuvarapu, Siddhartha, et al.
Published: (2026)
by: Laghuvarapu, Siddhartha, et al.
Published: (2026)
An Adaptive Method for Weak Supervision with Drifting Data
by: Mazzetto, Alessio, et al.
Published: (2023)
by: Mazzetto, Alessio, et al.
Published: (2023)
Autonomous Concept Drift Threshold Determination
by: Lu, Pengqian, et al.
Published: (2025)
by: Lu, Pengqian, et al.
Published: (2025)
Counterfactual Explanations Under Concept Drift
by: Kostrzewa, Marcin, et al.
Published: (2026)
by: Kostrzewa, Marcin, et al.
Published: (2026)
ADAPT: A Pseudo-labeling Approach to Combat Concept Drift in Malware Detection
by: Alam, Md Tanvirul, et al.
Published: (2025)
by: Alam, Md Tanvirul, et al.
Published: (2025)
FARM: Few-shot Adaptive Malware Family Classification under Concept Drift
by: Guldemir, Numan Halit, et al.
Published: (2026)
by: Guldemir, Numan Halit, et al.
Published: (2026)
Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift
by: Zhao, Zhiyuan, et al.
Published: (2025)
by: Zhao, Zhiyuan, et al.
Published: (2025)
Proper scoring rules for estimation and forecast evaluation
by: Waghmare, Kartik, et al.
Published: (2025)
by: Waghmare, Kartik, et al.
Published: (2025)
Fair and Explainable Credit-Scoring under Concept Drift: Adaptive Explanation Frameworks for Evolving Populations
by: John, Shivogo
Published: (2025)
by: John, Shivogo
Published: (2025)
From XAI to MLOps: Explainable Concept Drift Detection with Profile Drift Detection
by: Dar, Ugur, et al.
Published: (2024)
by: Dar, Ugur, et al.
Published: (2024)
How well does Classification Accuracy capture Concept Drift Detection Quality? An overview of Concept Drift Detection evaluation
by: Komorniczak, Joanna
Published: (2026)
by: Komorniczak, Joanna
Published: (2026)
Concept Drift Visualization of SVM with Shifting Window
by: Galmeanu, Honorius, et al.
Published: (2024)
by: Galmeanu, Honorius, et al.
Published: (2024)
Accelerated Smoothing: A Scalable Approach to Randomized Smoothing
by: Bhardwaj, Devansh, et al.
Published: (2024)
by: Bhardwaj, Devansh, et al.
Published: (2024)
A survey on Concept-based Approaches For Model Improvement
by: Gupta, Avani, et al.
Published: (2024)
by: Gupta, Avani, et al.
Published: (2024)
ROSFD: Robust Online Streaming Fraud Detection with Resilience to Concept Drift in Data Streams
by: Yelleti, Vivek
Published: (2025)
by: Yelleti, Vivek
Published: (2025)
Holistic Continual Learning under Concept Drift with Adaptive Memory Realignment
by: Ashrafee, Alif, et al.
Published: (2025)
by: Ashrafee, Alif, et al.
Published: (2025)
Conformal Prediction Under Generalized Covariate Shift with Posterior Drift
by: Wang, Baozhen, et al.
Published: (2025)
by: Wang, Baozhen, et al.
Published: (2025)
ICM Ensemble with Novel Betting Functions for Concept Drift
by: Eliades, Charalambos, et al.
Published: (2024)
by: Eliades, Charalambos, et al.
Published: (2024)
Distributionally Robust Policy Learning under Concept Drifts
by: Wang, Jingyuan, et al.
Published: (2024)
by: Wang, Jingyuan, et al.
Published: (2024)
RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget
by: Piaseczny, Adam, et al.
Published: (2025)
by: Piaseczny, Adam, et al.
Published: (2025)
Identifying Predictions That Influence the Future: Detecting Performative Concept Drift in Data Streams
by: Gower-Winter, Brandon, et al.
Published: (2024)
by: Gower-Winter, Brandon, et al.
Published: (2024)
Generalized Incremental Learning under Concept Drift across Evolving Data Streams
by: Yu, En, et al.
Published: (2025)
by: Yu, En, et al.
Published: (2025)
Adaptive PII Mitigation Framework for Large Language Models
by: Asthana, Shubhi, et al.
Published: (2025)
by: Asthana, Shubhi, et al.
Published: (2025)
Thwarting Cybersecurity Attacks with Explainable Concept Drift
by: Shaer, Ibrahim, et al.
Published: (2024)
by: Shaer, Ibrahim, et al.
Published: (2024)
Online Drift Detection with Maximum Concept Discrepancy
by: Wan, Ke, et al.
Published: (2024)
by: Wan, Ke, et al.
Published: (2024)
Cluster Analysis and Concept Drift Detection in Malware
by: Mishra, Aniket, et al.
Published: (2025)
by: Mishra, Aniket, et al.
Published: (2025)
Private Adaptive Covariance Estimation via Gaussian Graphical Models
by: Ferrando, Cecilia, et al.
Published: (2026)
by: Ferrando, Cecilia, et al.
Published: (2026)
Similar Items
-
Modeling Inter-Dependence Between Time and Mark in Multivariate Temporal Point Processes
by: Waghmare, Govind, et al.
Published: (2022) -
Efficient Graph Understanding with LLMs via Structured Context Injection
by: Waghmare, Govind, et al.
Published: (2025) -
Flow Matters: Directional and Expressive GNNs for Heterophilic Graphs
by: Gupta, Arman, et al.
Published: (2025) -
Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks
by: Waghmare, Govind, et al.
Published: (2026) -
DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts
by: Aspis, Miguel, et al.
Published: (2025)