Selective Learning: Towards Robust Calibration with Dynamic Regularization
Fuente:
arXiv
Saved in:
| Main Authors: | Han, Zongbo, Yang, Yifeng, Zhang, Changqing, Zhang, Linjun, Zhou, Joey Tianyi, Hu, Qinghua |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
by: Bai, Yichen, et al.
Published: (2023)
by: Bai, Yichen, et al.
Published: (2023)
Multimodal Fusion on Low-quality Data: A Comprehensive Survey
by: Zhang, Qingyang, et al.
Published: (2024)
by: Zhang, Qingyang, et al.
Published: (2024)
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
by: Zhang, Lujing, et al.
Published: (2024)
by: Zhang, Lujing, et al.
Published: (2024)
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
by: Yang, Rui, et al.
Published: (2023)
by: Yang, Rui, et al.
Published: (2023)
REG: A Regularization Optimizer for Robust Training Dynamics
by: Liu, Zehua, et al.
Published: (2025)
by: Liu, Zehua, et al.
Published: (2025)
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
by: Huang, Jiayi, et al.
Published: (2024)
by: Huang, Jiayi, et al.
Published: (2024)
Skip \n: A Simple Method to Reduce Hallucination in Large Vision-Language Models
by: Han, Zongbo, et al.
Published: (2024)
by: Han, Zongbo, et al.
Published: (2024)
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection
by: Zhang, Qingyang, et al.
Published: (2024)
by: Zhang, Qingyang, et al.
Published: (2024)
An Effective Dynamic Gradient Calibration Method for Continual Learning
by: Lin, Weichen, et al.
Published: (2024)
by: Lin, Weichen, et al.
Published: (2024)
Periodic Regularized Q-Learning
by: Yang, Hyukjun, et al.
Published: (2026)
by: Yang, Hyukjun, et al.
Published: (2026)
Wavelet Dynamic Selection Network for Inertial Sensor Signal Enhancement
by: Wang, Yifeng, et al.
Published: (2023)
by: Wang, Yifeng, et al.
Published: (2023)
Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation
by: He, Qiang, et al.
Published: (2024)
by: He, Qiang, et al.
Published: (2024)
Sim2Act: Robust Simulation-to-Decision Learning via Adversarial Calibration and Group-Relative Perturbation
by: Cao, Hongyu, et al.
Published: (2026)
by: Cao, Hongyu, et al.
Published: (2026)
CLDG: Contrastive Learning on Dynamic Graphs
by: Xu, Yiming, et al.
Published: (2024)
by: Xu, Yiming, et al.
Published: (2024)
Saliency-Aware Regularized Quantization Calibration for Large Language Models
by: Zhao, Yanlong, et al.
Published: (2026)
by: Zhao, Yanlong, et al.
Published: (2026)
Learning Robust Spectral Dynamics for Temporal Domain Generalization
by: Yu, En, et al.
Published: (2025)
by: Yu, En, et al.
Published: (2025)
On Limitation of Transformer for Learning HMMs
by: Hu, Jiachen, et al.
Published: (2024)
by: Hu, Jiachen, et al.
Published: (2024)
Robust Multi-Agent Reinforcement Learning by Mutual Information Regularization
by: Li, Simin, et al.
Published: (2023)
by: Li, Simin, et al.
Published: (2023)
Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization
by: Tan, Chengli, et al.
Published: (2025)
by: Tan, Chengli, 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)
Dynamic Adversarial Reinforcement Learning for Robust Multimodal Large Language Models
by: Bao, Yicheng, et al.
Published: (2026)
by: Bao, Yicheng, et al.
Published: (2026)
Towards Fine-Tuning-Based Site Calibration for Knowledge-Guided Machine Learning: A Summary of Results
by: Zeng, Ruolei, et al.
Published: (2025)
by: Zeng, Ruolei, et al.
Published: (2025)
Helping CLIP See Both the Forest and the Trees: A Decomposition and Description Approach
by: Xue, Leyan, et al.
Published: (2025)
by: Xue, Leyan, et al.
Published: (2025)
DP-CSGP: Differentially Private Stochastic Gradient Push with Compressed Communication
by: Zhu, Zehan, et al.
Published: (2025)
by: Zhu, Zehan, et al.
Published: (2025)
Quantile Geometry Regularization for Distributional Reinforcement Learning
by: Zhang, Zhaofan, et al.
Published: (2026)
by: Zhang, Zhaofan, et al.
Published: (2026)
Enhancing In-context Learning via Linear Probe Calibration
by: Abbas, Momin, et al.
Published: (2024)
by: Abbas, Momin, et al.
Published: (2024)
DOTA: Distributional Test-Time Adaptation of Vision-Language Models
by: Han, Zongbo, et al.
Published: (2024)
by: Han, Zongbo, et al.
Published: (2024)
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
by: Fazlyab, Mahyar, et al.
Published: (2023)
by: Fazlyab, Mahyar, et al.
Published: (2023)
Labels or Preferences? Budget-Constrained Learning with Human Judgments over AI-Generated Outputs
by: Dong, Zihan, et al.
Published: (2026)
by: Dong, Zihan, et al.
Published: (2026)
Robust Regularized Policy Iteration under Transition Uncertainty
by: Lin, Hongqiang, et al.
Published: (2026)
by: Lin, Hongqiang, et al.
Published: (2026)
On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning
by: Zhang, Yifan, et al.
Published: (2025)
by: Zhang, Yifan, et al.
Published: (2025)
Beyond Penalization: Diffusion-based Out-of-Distribution Detection and Selective Regularization in Offline Reinforcement Learning
by: Wang, Qingjun, et al.
Published: (2026)
by: Wang, Qingjun, et al.
Published: (2026)
Out-Of-Distribution Detection with Diversification (Provably)
by: Yao, Haiyun, et al.
Published: (2024)
by: Yao, Haiyun, et al.
Published: (2024)
Collaboration! Towards Robust Neural Methods for Routing Problems
by: Zhou, Jianan, et al.
Published: (2024)
by: Zhou, Jianan, et al.
Published: (2024)
Asymmetric Advantage Modulation Calibrates Entropy Dynamics in RLVR
by: Gu, Hengrui, et al.
Published: (2026)
by: Gu, Hengrui, et al.
Published: (2026)
LLM Data Selection and Utilization via Dynamic Bi-level Optimization
by: Yu, Yang, et al.
Published: (2025)
by: Yu, Yang, et al.
Published: (2025)
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering
by: Zhou, Han, et al.
Published: (2023)
by: Zhou, Han, et al.
Published: (2023)
Towards Robust Multi-Modal Reasoning via Model Selection
by: Liu, Xiangyan, et al.
Published: (2023)
by: Liu, Xiangyan, et al.
Published: (2023)
Robust Bidirectional Associative Memory via Regularization Inspired by the Subspace Rotation Algorithm
by: Lin, Ci, et al.
Published: (2025)
by: Lin, Ci, et al.
Published: (2025)
GCHR : Goal-Conditioned Hindsight Regularization for Sample-Efficient Reinforcement Learning
by: Lei, Xing, et al.
Published: (2025)
by: Lei, Xing, et al.
Published: (2025)
Similar Items
-
ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
by: Bai, Yichen, et al.
Published: (2023) -
Multimodal Fusion on Low-quality Data: A Comprehensive Survey
by: Zhang, Qingyang, et al.
Published: (2024) -
Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks
by: Zhang, Lujing, et al.
Published: (2024) -
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
by: Yang, Rui, et al.
Published: (2023) -
REG: A Regularization Optimizer for Robust Training Dynamics
by: Liu, Zehua, et al.
Published: (2025)