Addressing Label Shift in Distributed Learning via Entropy Regularization
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Zhiyuan, Choi, Changkyu, Cao, Xiangcheng, Cevher, Volkan, Ramezani-Kebrya, Ali |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Towards Self-Explainable Document Visual Question Answering with Chain-of-Explanation Predictions
by: Indrehus, Kjetil, et al.
Published: (2026)
by: Indrehus, Kjetil, et al.
Published: (2026)
Adversarial Training for Defense Against Label Poisoning Attacks
by: Bal, Melis Ilayda, et al.
Published: (2025)
by: Bal, Melis Ilayda, et al.
Published: (2025)
On the Generalization of Stochastic Gradient Descent with Momentum
by: Ramezani-Kebrya, Ali, et al.
Published: (2018)
by: Ramezani-Kebrya, Ali, et al.
Published: (2018)
Efficient Large Language Model Inference with Neural Block Linearization
by: Erdogan, Mete, et al.
Published: (2025)
by: Erdogan, Mete, et al.
Published: (2025)
MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection
by: Afzal, Arshia, et al.
Published: (2025)
by: Afzal, Arshia, et al.
Published: (2025)
Ascent Fails to Forget
by: Mavrothalassitis, Ioannis, et al.
Published: (2025)
by: Mavrothalassitis, Ioannis, et al.
Published: (2025)
Certified Robustness Under Bounded Levenshtein Distance
by: Rocamora, Elias Abad, et al.
Published: (2025)
by: Rocamora, Elias Abad, et al.
Published: (2025)
REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
by: Afzal, Arshia, et al.
Published: (2024)
by: Afzal, Arshia, et al.
Published: (2024)
Layer-wise Quantization for Quantized Optimistic Dual Averaging
by: Nguyen, Anh Duc, et al.
Published: (2025)
by: Nguyen, Anh Duc, et al.
Published: (2025)
Robust NAS under adversarial training: benchmark, theory, and beyond
by: Wu, Yongtao, et al.
Published: (2024)
by: Wu, Yongtao, et al.
Published: (2024)
Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacks
by: Cheng, Yixin, et al.
Published: (2024)
by: Cheng, Yixin, et al.
Published: (2024)
A Structured Review of Literature on Uncertainty in Machine Learning & Deep Learning
by: Fakour, Fahimeh, et al.
Published: (2024)
by: Fakour, Fahimeh, et al.
Published: (2024)
Rate optimal learning of equilibria from data
by: Freihaut, Till, et al.
Published: (2025)
by: Freihaut, Till, et al.
Published: (2025)
Label-Free Reinforcement Learning via Cross-Model Entropy
by: Gorbett, Matt, et al.
Published: (2026)
by: Gorbett, Matt, et al.
Published: (2026)
Beyond Accuracy: Decomposing the Reasoning Efficiency of LLMs
by: Kaiser, Daniel, et al.
Published: (2026)
by: Kaiser, Daniel, et al.
Published: (2026)
Revisiting Character-level Adversarial Attacks for Language Models
by: Rocamora, Elias Abad, et al.
Published: (2024)
by: Rocamora, Elias Abad, et al.
Published: (2024)
Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity
by: Wu, Ying-Hsuan, et al.
Published: (2024)
by: Wu, Ying-Hsuan, et al.
Published: (2024)
Principled Operator Learning in Ocean Dynamics: The Role of Temporal Structure
by: Jahanmard, Vahidreza, et al.
Published: (2025)
by: Jahanmard, Vahidreza, et al.
Published: (2025)
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
by: Chen, Yihang, et al.
Published: (2024)
by: Chen, Yihang, et al.
Published: (2024)
Addressing Bias Through Ensemble Learning and Regularized Fine-Tuning
by: Radwan, Ahmed, et al.
Published: (2024)
by: Radwan, Ahmed, et al.
Published: (2024)
Single-pass Detection of Jailbreaking Input in Large Language Models
by: Candogan, Leyla Naz, et al.
Published: (2025)
by: Candogan, Leyla Naz, et al.
Published: (2025)
DiPRL: Learning Discrete Programmatic Policies via Architecture Entropy Regularization
by: Hu, Chengpeng, et al.
Published: (2026)
by: Hu, Chengpeng, et al.
Published: (2026)
Weak-to-Strong Generalization under Distribution Shifts
by: Jeon, Myeongho, et al.
Published: (2025)
by: Jeon, Myeongho, et al.
Published: (2025)
Mitigating Label Shift in Tabular In-Context Learning via Test-Time Posterior Adjustment
by: Lee, Seunghan
Published: (2026)
by: Lee, Seunghan
Published: (2026)
Label Distribution Learning from Logical Label
by: Jia, Yuheng, et al.
Published: (2023)
by: Jia, Yuheng, et al.
Published: (2023)
Entropy-Regularized Adjoint Matching for Offline Reinforcement Learning
by: Ghanem, Abdelghani, et al.
Published: (2026)
by: Ghanem, Abdelghani, et al.
Published: (2026)
Multi-Step Alignment as Markov Games: An Optimistic Online Gradient Descent Approach with Convergence Guarantees
by: Wu, Yongtao, et al.
Published: (2025)
by: Wu, Yongtao, et al.
Published: (2025)
Linear Attention for Efficient Bidirectional Sequence Modeling
by: Afzal, Arshia, et al.
Published: (2025)
by: Afzal, Arshia, et al.
Published: (2025)
AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler
by: Kim, Changhun, et al.
Published: (2024)
by: Kim, Changhun, et al.
Published: (2024)
Concentration Distribution Learning from Label Distributions
by: Tang, Jiawei, et al.
Published: (2025)
by: Tang, Jiawei, et al.
Published: (2025)
Sufficient Invariant Learning for Distribution Shift
by: Kim, Taero, et al.
Published: (2022)
by: Kim, Taero, et al.
Published: (2022)
SymCircuit: Bayesian Structure Inference for Tractable Probabilistic Circuits via Entropy-Regularized Reinforcement Learning
by: Ju, Y. Sungtaek
Published: (2026)
by: Ju, Y. Sungtaek
Published: (2026)
Efficient local linearity regularization to overcome catastrophic overfitting
by: Rocamora, Elias Abad, et al.
Published: (2024)
by: Rocamora, Elias Abad, et al.
Published: (2024)
GRASP: Deterministic argument ranking in interaction graphs
by: Misra, Diganta, et al.
Published: (2026)
by: Misra, Diganta, et al.
Published: (2026)
Meta-learning to Address Data Shift in Time Series Classification
by: Myren, Samuel, et al.
Published: (2026)
by: Myren, Samuel, et al.
Published: (2026)
Class-based Subset Selection for Transfer Learning under Extreme Label Shift
by: Goyal, Akul, et al.
Published: (2024)
by: Goyal, Akul, et al.
Published: (2024)
FLAC: Maximum Entropy RL via Kinetic Energy Regularized Bridge Matching
by: Lv, Lei, et al.
Published: (2026)
by: Lv, Lei, et al.
Published: (2026)
Validity Learning on Failures: Mitigating the Distribution Shift in Autonomous Vehicle Planning
by: Arasteh, Fazel, et al.
Published: (2024)
by: Arasteh, Fazel, et al.
Published: (2024)
Online Multi-Label Classification under Noisy and Changing Label Distribution
by: Zou, Yizhang, et al.
Published: (2024)
by: Zou, Yizhang, et al.
Published: (2024)
Quantile Geometry Regularization for Distributional Reinforcement Learning
by: Zhang, Zhaofan, et al.
Published: (2026)
by: Zhang, Zhaofan, et al.
Published: (2026)
Similar Items
-
Towards Self-Explainable Document Visual Question Answering with Chain-of-Explanation Predictions
by: Indrehus, Kjetil, et al.
Published: (2026) -
Adversarial Training for Defense Against Label Poisoning Attacks
by: Bal, Melis Ilayda, et al.
Published: (2025) -
On the Generalization of Stochastic Gradient Descent with Momentum
by: Ramezani-Kebrya, Ali, et al.
Published: (2018) -
Efficient Large Language Model Inference with Neural Block Linearization
by: Erdogan, Mete, et al.
Published: (2025) -
MT-NAM: An Efficient and Adaptive Model for Epileptic Seizure Detection
by: Afzal, Arshia, et al.
Published: (2025)