Saved in:
| Main Authors: | Yang, Shenzhi, Zhao, Junbo, Li, Sharon, Yang, Shouqing, Yang, Dingyu, Zhang, Xiaofang, Wang, Haobo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.16076 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NodeReg: Mitigating the Imbalance and Distribution Shift Effects in Semi-Supervised Node Classification via Norm Consistency
by: Yang, Shenzhi, et al.
Published: (2025)
by: Yang, Shenzhi, et al.
Published: (2025)
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
by: Yang, Shenzhi, et al.
Published: (2025)
by: Yang, Shenzhi, et al.
Published: (2025)
Can LLMs Learn to Reason Robustly under Noisy Supervision?
by: Yang, Shenzhi, et al.
Published: (2026)
by: Yang, Shenzhi, et al.
Published: (2026)
TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning
by: Yang, Shenzhi, et al.
Published: (2025)
by: Yang, Shenzhi, et al.
Published: (2025)
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs
by: Yang, Haoran, et al.
Published: (2024)
by: Yang, Haoran, et al.
Published: (2024)
Domain Feature Collapse: Implications for Out-of-Distribution Detection and Solutions
by: Yang, Hong, et al.
Published: (2025)
by: Yang, Hong, et al.
Published: (2025)
Disentangled Graph Prompting for Out-Of-Distribution Detection
by: Yang, Cheng, et al.
Published: (2026)
by: Yang, Cheng, et al.
Published: (2026)
SPA++: Generalized Graph Spectral Alignment for Versatile Domain Adaptation
by: Xiao, Zhiqing, et al.
Published: (2025)
by: Xiao, Zhiqing, et al.
Published: (2025)
Towards Robust Incremental Learning under Ambiguous Supervision
by: Wang, Rui, et al.
Published: (2025)
by: Wang, Rui, et al.
Published: (2025)
Shaping Parameter Contribution Patterns for Out-of-Distribution Detection
by: Xu, Haonan, et al.
Published: (2026)
by: Xu, Haonan, et al.
Published: (2026)
Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping
by: Zhang, Jianxiong, et al.
Published: (2026)
by: Zhang, Jianxiong, et al.
Published: (2026)
Kernel PCA for Out-of-Distribution Detection
by: Fang, Kun, et al.
Published: (2024)
by: Fang, Kun, et al.
Published: (2024)
Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes
by: Chen, Yang, et al.
Published: (2024)
by: Chen, Yang, et al.
Published: (2024)
FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts
by: Wang, Xinyi, et al.
Published: (2025)
by: Wang, Xinyi, et al.
Published: (2025)
The Flexibility Trap: Why Arbitrary Order Limits Reasoning Potential in Diffusion Language Models
by: Ni, Zanlin, et al.
Published: (2026)
by: Ni, Zanlin, et al.
Published: (2026)
Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning
by: Wang, Yiming, et al.
Published: (2024)
by: Wang, Yiming, et al.
Published: (2024)
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective
by: Yao, Xinhao, et al.
Published: (2024)
by: Yao, Xinhao, et al.
Published: (2024)
Cascade-KDE: Robust Time-Series Restoration under Out-of-Distribution Impulse Corruptions
by: Liu, Yuefeng, et al.
Published: (2026)
by: Liu, Yuefeng, et al.
Published: (2026)
Generalized Out-of-Distribution Detection: A Survey
by: Yang, Jingkang, et al.
Published: (2021)
by: Yang, Jingkang, et al.
Published: (2021)
NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution Generalization
by: Wang, Qiyi, et al.
Published: (2025)
by: Wang, Qiyi, et al.
Published: (2025)
Data Contamination Calibration for Black-box LLMs
by: Ye, Wentao, et al.
Published: (2024)
by: Ye, Wentao, et al.
Published: (2024)
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs
by: Ding, Pengfei, et al.
Published: (2024)
by: Ding, Pengfei, et al.
Published: (2024)
Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection
by: Zhao, Qinyu, et al.
Published: (2024)
by: Zhao, Qinyu, et al.
Published: (2024)
Can We Ignore Labels In Out of Distribution Detection?
by: Yang, Hong, et al.
Published: (2025)
by: Yang, Hong, et al.
Published: (2025)
Journey to the Centre of Cluster: Harnessing Interior Nodes for A/B Testing under Network Interference
by: Chen, Qianyi, et al.
Published: (2026)
by: Chen, Qianyi, et al.
Published: (2026)
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs
by: Chen, Yuhan, et al.
Published: (2025)
by: Chen, Yuhan, et al.
Published: (2025)
Fully-inductive Node Classification on Arbitrary Graphs
by: Zhao, Jianan, et al.
Published: (2024)
by: Zhao, Jianan, et al.
Published: (2024)
Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model
by: Zhao, Chu, et al.
Published: (2025)
by: Zhao, Chu, et al.
Published: (2025)
DeltaMem: Towards Agentic Memory Management via Reinforcement Learning
by: Zhang, Qi, et al.
Published: (2026)
by: Zhang, Qi, et al.
Published: (2026)
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective
by: Fang, Kun, et al.
Published: (2023)
by: Fang, Kun, et al.
Published: (2023)
Ordered Local Momentum for Asynchronous Distributed Learning under Arbitrary Delays
by: Shi, Chang-Wei, et al.
Published: (2026)
by: Shi, Chang-Wei, et al.
Published: (2026)
Distribution Guided Active Feature Acquisition
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
Feature Protection For Out-of-distribution Generalization
by: Tan, Lu, et al.
Published: (2024)
by: Tan, Lu, et al.
Published: (2024)
Frustratingly Easy Feature Reconstruction for Out-of-Distribution Detection
by: Wang, Yingsheng, et al.
Published: (2025)
by: Wang, Yingsheng, et al.
Published: (2025)
Improving Open-world Continual Learning under the Constraints of Scarce Labeled Data
by: Li, Yujie, et al.
Published: (2025)
by: Li, Yujie, et al.
Published: (2025)
Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection
by: Cao, Chentao, et al.
Published: (2024)
by: Cao, Chentao, et al.
Published: (2024)
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift
by: Chen, Junbao, et al.
Published: (2024)
by: Chen, Junbao, et al.
Published: (2024)
Feature Bank Enhancement for Distance-based Out-of-Distribution Detection
by: Liu, Yuhang, et al.
Published: (2025)
by: Liu, Yuhang, et al.
Published: (2025)
CGRL: Causal-Guided Representation Learning for Graph Out-of-Distribution Generalization
by: Lu, Bowen, et al.
Published: (2026)
by: Lu, Bowen, et al.
Published: (2026)
Towards Cross-Table Masked Pretraining for Web Data Mining
by: Ye, Chao, et al.
Published: (2023)
by: Ye, Chao, et al.
Published: (2023)
Similar Items
-
NodeReg: Mitigating the Imbalance and Distribution Shift Effects in Semi-Supervised Node Classification via Norm Consistency
by: Yang, Shenzhi, et al.
Published: (2025) -
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
by: Yang, Shenzhi, et al.
Published: (2025) -
Can LLMs Learn to Reason Robustly under Noisy Supervision?
by: Yang, Shenzhi, et al.
Published: (2026) -
TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning
by: Yang, Shenzhi, et al.
Published: (2025) -
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs
by: Yang, Haoran, et al.
Published: (2024)