An Analysis of Model Robustness across Concurrent Distribution Shifts
Fuente:
arXiv
Guardado en:
| Autores principales: | Jeon, Myeongho, Choi, Suhwan, Lee, Hyoje, Yeo, Teresa |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Weak-to-Strong Generalization under Distribution Shifts
por: Jeon, Myeongho, et al.
Publicado: (2025)
por: Jeon, Myeongho, et al.
Publicado: (2025)
Adaptive Problem Generation via Symbolic Representations
por: Yeo, Teresa, et al.
Publicado: (2026)
por: Yeo, Teresa, et al.
Publicado: (2026)
Feature-aligned N-BEATS with Sinkhorn divergence
por: Lee, Joonhun, et al.
Publicado: (2023)
por: Lee, Joonhun, et al.
Publicado: (2023)
DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal Prediction
por: Menadjiev, Enver, et al.
Publicado: (2026)
por: Menadjiev, Enver, et al.
Publicado: (2026)
Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare
por: Blaas, Arno, et al.
Publicado: (2024)
por: Blaas, Arno, et al.
Publicado: (2024)
No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping
por: Le, Thanh-Long V., et al.
Publicado: (2025)
por: Le, Thanh-Long V., et al.
Publicado: (2025)
Experience-based Knowledge Correction for Robust Planning in Minecraft
por: Lee, Seungjoon, et al.
Publicado: (2025)
por: Lee, Seungjoon, et al.
Publicado: (2025)
Distributionally Robust Coreset Selection under Covariate Shift
por: Tanaka, Tomonari, et al.
Publicado: (2025)
por: Tanaka, Tomonari, et al.
Publicado: (2025)
Mitigating Distribution Shift in Stock Price Data via Return-Volatility Normalization for Accurate Prediction
por: Lee, Hyunwoo, et al.
Publicado: (2025)
por: Lee, Hyunwoo, et al.
Publicado: (2025)
GeneralizeFormer: Layer-Adaptive Model Generation across Test-Time Distribution Shifts
por: Ambekar, Sameer, et al.
Publicado: (2025)
por: Ambekar, Sameer, et al.
Publicado: (2025)
Distributionally Robust Safe Sample Elimination under Covariate Shift
por: Hanada, Hiroyuki, et al.
Publicado: (2024)
por: Hanada, Hiroyuki, et al.
Publicado: (2024)
Seen-to-Scene: Keep the Seen, Generate the Unseen for Video Outpainting
por: Jeon, Inseok, et al.
Publicado: (2026)
por: Jeon, Inseok, et al.
Publicado: (2026)
Evaluating and Improving the Robustness of Speech Command Recognition Models to Noise and Distribution Shifts
por: Baranger, Anaïs, et al.
Publicado: (2025)
por: Baranger, Anaïs, et al.
Publicado: (2025)
Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts
por: Najafi, Amir, et al.
Publicado: (2024)
por: Najafi, Amir, et al.
Publicado: (2024)
Quantifying Distribution Shifts and Uncertainties for Enhanced Model Robustness in Machine Learning Applications
por: Flovik, Vegard
Publicado: (2024)
por: Flovik, Vegard
Publicado: (2024)
MIRRAMS: Learning Robust Tabular Models under Unseen Missingness Shifts
por: Lee, Jihye, et al.
Publicado: (2025)
por: Lee, Jihye, et al.
Publicado: (2025)
Learning Inference Concurrency in DynamicGate MLP Structural and Mathematical Justification
por: Choi, Yongil
Publicado: (2026)
por: Choi, Yongil
Publicado: (2026)
Robust Predictive Modeling Under Unseen Data Distribution Shifts: A Methodological Commentary
por: Duan, Hanyu, et al.
Publicado: (2025)
por: Duan, Hanyu, et al.
Publicado: (2025)
Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift
por: Xue, Yihao, et al.
Publicado: (2023)
por: Xue, Yihao, et al.
Publicado: (2023)
Safe Distributionally Robust Feature Selection under Covariate Shift
por: Hanada, Hiroyuki, et al.
Publicado: (2026)
por: Hanada, Hiroyuki, et al.
Publicado: (2026)
Assessing the Robustness of Climate Foundation Models under No-Analog Distribution Shifts
por: Navarro, Maria Conchita Agana, et al.
Publicado: (2026)
por: Navarro, Maria Conchita Agana, et al.
Publicado: (2026)
CPR: Causal Physiological Representation Learning for Robust ECG Analysis under Distribution Shifts
por: Jia, Shunbo, et al.
Publicado: (2025)
por: Jia, Shunbo, et al.
Publicado: (2025)
Robust Conformal Prediction under Distribution Shift via Physics-Informed Structural Causal Model
por: Xu, Rui, et al.
Publicado: (2024)
por: Xu, Rui, et al.
Publicado: (2024)
Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts
por: Bui, Ha Manh, et al.
Publicado: (2023)
por: Bui, Ha Manh, et al.
Publicado: (2023)
Robust Machine Learning for Regulatory Sequence Modeling under Biological and Technical Distribution Shifts
por: Yang, Yiyao
Publicado: (2026)
por: Yang, Yiyao
Publicado: (2026)
Robust Anomaly Detection Under Normality Distribution Shift in Dynamic Graphs
por: Xu, Xiaoyang, et al.
Publicado: (2025)
por: Xu, Xiaoyang, et al.
Publicado: (2025)
Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations
por: Slavutsky, Yuli, et al.
Publicado: (2023)
por: Slavutsky, Yuli, et al.
Publicado: (2023)
Chunking: Continual Learning is not just about Distribution Shift
por: Lee, Thomas L., et al.
Publicado: (2023)
por: Lee, Thomas L., et al.
Publicado: (2023)
Mixed-feature Logistic Regression Robust to Distribution Shifts
por: Sun, Qingshi, et al.
Publicado: (2025)
por: Sun, Qingshi, et al.
Publicado: (2025)
Learning Optimal Classification Trees Robust to Distribution Shifts
por: Justin, Nathan, et al.
Publicado: (2023)
por: Justin, Nathan, et al.
Publicado: (2023)
Robust Validation: Confident Predictions Even When Distributions Shift
por: Cauchois, Maxime, et al.
Publicado: (2020)
por: Cauchois, Maxime, et al.
Publicado: (2020)
Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains
por: Wilkins-Reeves, Steven, et al.
Publicado: (2024)
por: Wilkins-Reeves, Steven, et al.
Publicado: (2024)
Distributionally Robust Policy Evaluation under General Covariate Shift in Contextual Bandits
por: Guo, Yihong, et al.
Publicado: (2024)
por: Guo, Yihong, et al.
Publicado: (2024)
CMTM: Cross-Modal Token Modulation for Unsupervised Video Object Segmentation
por: Jeon, Inseok, et al.
Publicado: (2026)
por: Jeon, Inseok, et al.
Publicado: (2026)
Incorporating Interventional Independence Improves Robustness against Interventional Distribution Shift
por: Sreekumar, Gautam, et al.
Publicado: (2025)
por: Sreekumar, Gautam, et al.
Publicado: (2025)
Rethinking Distribution Shifts: Empirical Analysis and Inductive Modeling for Tabular Data
por: Wang, Tianyu, et al.
Publicado: (2023)
por: Wang, Tianyu, et al.
Publicado: (2023)
Robust Calibration For Improved Weather Prediction Under Distributional Shift
por: Gilda, Sankalp, et al.
Publicado: (2024)
por: Gilda, Sankalp, et al.
Publicado: (2024)
Addressing Distribution Shift in RTB Markets via Exponential Tilting
por: Kim, Minji, et al.
Publicado: (2023)
por: Kim, Minji, et al.
Publicado: (2023)
Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts
por: Choi, Jihye, et al.
Publicado: (2024)
por: Choi, Jihye, et al.
Publicado: (2024)
FedRC: Tackling Diverse Distribution Shifts Challenge in Federated Learning by Robust Clustering
por: Guo, Yongxin, et al.
Publicado: (2023)
por: Guo, Yongxin, et al.
Publicado: (2023)
Ejemplares similares
-
Weak-to-Strong Generalization under Distribution Shifts
por: Jeon, Myeongho, et al.
Publicado: (2025) -
Adaptive Problem Generation via Symbolic Representations
por: Yeo, Teresa, et al.
Publicado: (2026) -
Feature-aligned N-BEATS with Sinkhorn divergence
por: Lee, Joonhun, et al.
Publicado: (2023) -
DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal Prediction
por: Menadjiev, Enver, et al.
Publicado: (2026) -
Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare
por: Blaas, Arno, et al.
Publicado: (2024)