Flexible and Efficient Drift Detection without Labels
Fuente:
arXiv
Saved in:
| Main Authors: | Tan, Nelvin, Shih, Yu-Ching, Yang, Dong, Salunkhe, Amol |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Ranking and Combining Latent Structured Predictive Scores without Labeled Data
by: Afshar, Shiva, et al.
Published: (2024)
by: Afshar, Shiva, et al.
Published: (2024)
Does Using Counterfactual Help LLMs Explain Textual Importance in Classification?
by: Tan, Nelvin, et al.
Published: (2025)
by: Tan, Nelvin, et al.
Published: (2025)
Improved LLM Agents for Financial Document Question Answering
by: Tan, Nelvin, et al.
Published: (2025)
by: Tan, Nelvin, et al.
Published: (2025)
Adversarial Drift-Aware Predictive Transfer: Toward Durable Clinical AI
by: Xiong, Xin, et al.
Published: (2026)
by: Xiong, Xin, et al.
Published: (2026)
Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty
by: Hechinger, Katharina, et al.
Published: (2023)
by: Hechinger, Katharina, et al.
Published: (2023)
An Efficient Outlier Detection Algorithm for Data Streaming
by: Hu, Rui, et al.
Published: (2025)
by: Hu, Rui, et al.
Published: (2025)
Balancing Interpretability and Flexibility in Modeling Diagnostic Trajectories with an Embedded Neural Hawkes Process Model
by: Zhao, Yuankang, et al.
Published: (2025)
by: Zhao, Yuankang, et al.
Published: (2025)
Label-Efficient Monitoring of Classification Models via Stratified Importance Sampling
by: Marsigli, Lupo, et al.
Published: (2026)
by: Marsigli, Lupo, et al.
Published: (2026)
Understanding When Graph Convolutional Networks Help: A Diagnostic Study on Label Scarcity and Structural Properties
by: Subedi, Nischal, et al.
Published: (2025)
by: Subedi, Nischal, et al.
Published: (2025)
Dynamic Classification of Latent Disease Progression with Auxiliary Surrogate Labels
by: Cai, Zexi, et al.
Published: (2024)
by: Cai, Zexi, et al.
Published: (2024)
A novel forecasting framework combining virtual samples and enhanced Transformer models for tourism demand forecasting
by: Diao, Tingting, et al.
Published: (2025)
by: Diao, Tingting, et al.
Published: (2025)
Steer-to-Detect: Probing Hidden Representations for Detection of LLM-Generated Texts
by: Liang, Luxu, et al.
Published: (2026)
by: Liang, Luxu, et al.
Published: (2026)
Pedestrian Volume Prediction Using a Diffusion Convolutional Gated Recurrent Unit Model
by: Dong, Yiwei, et al.
Published: (2024)
by: Dong, Yiwei, et al.
Published: (2024)
Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals
by: Arpogaus, Marcel, et al.
Published: (2025)
by: Arpogaus, Marcel, et al.
Published: (2025)
A Machine Learning-Based Framework to Shorten the Questionnaire for Assessing Autism Intervention
by: Dong, Audrey, et al.
Published: (2025)
by: Dong, Audrey, et al.
Published: (2025)
Efficient Causal Discovery for Autoregressive Time Series
by: Fesanghary, Mohammad, et al.
Published: (2025)
by: Fesanghary, Mohammad, et al.
Published: (2025)
Efficient Model Compression for Bayesian Neural Networks
by: Saha, Diptarka, et al.
Published: (2024)
by: Saha, Diptarka, et al.
Published: (2024)
A Graph Sufficiency Perspective for Neural Networks
by: Shen, Cencheng, et al.
Published: (2025)
by: Shen, Cencheng, et al.
Published: (2025)
When Should Humans Step In? Optimal Human Dispatching in AI-Assisted Decisions
by: Tan, Lezhi, et al.
Published: (2026)
by: Tan, Lezhi, et al.
Published: (2026)
Spatially Robust Inference with Predicted and Missing at Random Labels
by: Salerno, Stephen, et al.
Published: (2026)
by: Salerno, Stephen, et al.
Published: (2026)
Efficient Causal Structure Learning via Modular Subgraph Integration
by: Sun, Haixiang, et al.
Published: (2026)
by: Sun, Haixiang, et al.
Published: (2026)
Confidence interval estimation of mixed oil length with conditional diffusion model
by: Yang, Yanfeng, et al.
Published: (2024)
by: Yang, Yanfeng, et al.
Published: (2024)
Anomaly Detection in Power Grids via Context-Agnostic Learning
by: Park, SangWoo, et al.
Published: (2024)
by: Park, SangWoo, et al.
Published: (2024)
Prediction-powered Inference by Mixture of Experts
by: Gu, Yanwu, et al.
Published: (2026)
by: Gu, Yanwu, et al.
Published: (2026)
Starting Off on the Wrong Foot: Pitfalls in Data Preparation
by: Guo, Jiayi, et al.
Published: (2026)
by: Guo, Jiayi, et al.
Published: (2026)
Detecting clinician implicit biases in diagnoses using proximal causal inference
by: Liu, Kara, et al.
Published: (2025)
by: Liu, Kara, et al.
Published: (2025)
Design a Metric Robust to Complicated High Dimensional Noise for Efficient Manifold Denoising
by: Wu, Hau-Tieng
Published: (2024)
by: Wu, Hau-Tieng
Published: (2024)
A Machine Learning-based Anomaly Detection Framework in Life Insurance Contracts
by: Groll, Andreas, et al.
Published: (2024)
by: Groll, Andreas, et al.
Published: (2024)
HPM-KD: Hierarchical Progressive Multi-Teacher Framework for Knowledge Distillation and Efficient Model Compression
by: Haase, Gustavo Coelho, et al.
Published: (2025)
by: Haase, Gustavo Coelho, et al.
Published: (2025)
CoDistill-GRPO: A Co-Distillation Recipe for Efficient Group Relative Policy Optimization
by: Kwon, Soo Min, et al.
Published: (2026)
by: Kwon, Soo Min, et al.
Published: (2026)
Local Intrinsic Dimensionality of Ground Motion Data for Early Detection of Complex Catastrophic Slope Failure
by: Liu, Yuansan, et al.
Published: (2026)
by: Liu, Yuansan, et al.
Published: (2026)
Machine Learning-based Layer-wise Detection of Overheating Anomaly in LPBF using Photodiode Data
by: Hasan, Nazmul, et al.
Published: (2024)
by: Hasan, Nazmul, et al.
Published: (2024)
Double Machine Learning Methods for Estimating Average Treatment Effects: A Comparative Study
by: Tan, Xiaoqing, et al.
Published: (2022)
by: Tan, Xiaoqing, et al.
Published: (2022)
From Hawkes Processes to Attention: Time-Modulated Mechanisms for Event Sequences
by: Tan, Xinzi, et al.
Published: (2026)
by: Tan, Xinzi, et al.
Published: (2026)
A Statistical Framework for Spatial Boundary Estimation and Change Detection: Application to the Sahel Sahara Climate Transition
by: Tivenan, Stephen, et al.
Published: (2025)
by: Tivenan, Stephen, et al.
Published: (2025)
Causal Responder Detection
by: Frostig, Tzviel, et al.
Published: (2024)
by: Frostig, Tzviel, et al.
Published: (2024)
Clinical Characteristics and Laboratory Biomarkers in ICU-admitted Septic Patients with and without Bacteremia
by: Baek, Sangwon, et al.
Published: (2023)
by: Baek, Sangwon, et al.
Published: (2023)
Integrating Response Time and Attention Duration in Bayesian Preference Learning for Multiple Criteria Decision Aiding
by: Jiang, Jiaxuan, et al.
Published: (2025)
by: Jiang, Jiaxuan, et al.
Published: (2025)
Multivariate Time Series Data Imputation via Distributionally Robust Regularization
by: Liao, Che-Yi, et al.
Published: (2026)
by: Liao, Che-Yi, et al.
Published: (2026)
Clusterability test for categorical data
by: Hu, Lianyu, et al.
Published: (2023)
by: Hu, Lianyu, et al.
Published: (2023)
Similar Items
-
Ranking and Combining Latent Structured Predictive Scores without Labeled Data
by: Afshar, Shiva, et al.
Published: (2024) -
Does Using Counterfactual Help LLMs Explain Textual Importance in Classification?
by: Tan, Nelvin, et al.
Published: (2025) -
Improved LLM Agents for Financial Document Question Answering
by: Tan, Nelvin, et al.
Published: (2025) -
Adversarial Drift-Aware Predictive Transfer: Toward Durable Clinical AI
by: Xiong, Xin, et al.
Published: (2026) -
Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty
by: Hechinger, Katharina, et al.
Published: (2023)