:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Cai, Kecheng, Xu, Chenyang, Peng, Chao, Huang, Jiafu, Liang, Qiyuan, Zheng, Irene
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2601.11021
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Richer Representations for Neural Algorithmic Reasoning via Auxiliary Reconstruction
by: Huang, Jiafu, et al.
Published: (2026)

Mitigating Spurious Correlations via Disagreement Probability
by: Han, Hyeonggeun, et al.
Published: (2024)

Self-Augmented Mixture-of-Experts for QoS Prediction
by: Cai, Kecheng, et al.
Published: (2026)

The Pragmatic Frames of Spurious Correlations in Machine Learning: Interpreting How and Why They Matter
by: Bell, Samuel J., et al.
Published: (2024)

SCL-GNN: Towards Generalizable Graph Neural Networks via Spurious Correlation Learning
by: Zhang, Yuxiang, et al.
Published: (2026)

Out of Spuriousity: Improving Robustness to Spurious Correlations without Group Annotations
by: Le, Phuong Quynh, et al.
Published: (2024)

Removing Spurious Correlation from Neural Network Interpretations
by: Fotouhi, Milad, et al.
Published: (2024)

Severing Spurious Correlations with Data Pruning
by: Mulchandani, Varun, et al.
Published: (2025)

Revisiting Spurious Correlation in Domain Generalization
by: Qin, Bin, et al.
Published: (2024)

Navigating Shortcuts, Spurious Correlations, and Confounders: From Origins via Detection to Mitigation
by: Steinmann, David, et al.
Published: (2024)

Spurious Correlation Learning in Preference Optimization: Mechanisms, Consequences, and Mitigation via Tie Training
by: Moya, Christian, et al.
Published: (2026)

Spurious Correlation-Aware Embedding Regularization for Worst-Group Robustness
by: Park, Subeen, et al.
Published: (2025)

A Unified Theory of Sparse Dictionary Learning in Mechanistic Interpretability: Piecewise Biconvexity and Spurious Minima
by: Tang, Yiming, et al.
Published: (2025)

The Trap of Trajectory: Towards Understanding and Mitigating Spurious Correlations in Agentic Memory
by: Tang, Luoxi, et al.
Published: (2026)

Open-Book Neural Algorithmic Reasoning
by: Li, Hefei, et al.
Published: (2024)

Age Predictors Through the Lens of Generalization, Bias Mitigation, and Interpretability: Reflections on Causal Implications
by: Paul, Debdas, et al.
Published: (2026)

Light-IF: Endowing LLMs with Generalizable Reasoning via Preview and Self-Checking for Complex Instruction Following
by: Wang, Chenyang, et al.
Published: (2025)

Mitigating Spurious Correlations in NLI via LLM-Synthesized Counterfactuals and Dynamic Balanced Sampling
by: Jaimes, Christopher Román
Published: (2025)

Identifying Spurious Correlations using Counterfactual Alignment
by: Cohen, Joseph Paul, et al.
Published: (2023)

Not Only the Last-Layer Features for Spurious Correlations: All Layer Deep Feature Reweighting
by: Hameed, Humza Wajid, et al.
Published: (2024)

Correlating Time Series with Interpretable Convolutional Kernels
by: Chen, Xinyu, et al.
Published: (2024)

Shortcut to Nowhere: Demystifying Deep Spurious Regression
by: Xu, Guanrong, et al.
Published: (2026)

H-LDM: Hierarchical Latent Diffusion Models for Controllable and Interpretable PCG Synthesis from Clinical Metadata
by: Xu, Chenyang, et al.
Published: (2025)

Faithful Interpretation for Graph Neural Networks
by: Hu, Lijie, et al.
Published: (2024)

Superclass-Guided Representation Disentanglement for Spurious Correlation Mitigation
by: Liu, Chenruo, et al.
Published: (2025)

OriGen:Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection
by: Cui, Fan, et al.
Published: (2024)

Exploring Correlations of Self-Supervised Tasks for Graphs
by: Fang, Taoran, et al.
Published: (2024)

VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
by: Wang, Haozhe, et al.
Published: (2025)

OPBench: A Graph Benchmark to Combat the Opioid Crisis
by: Ma, Tianyi, et al.
Published: (2026)

Safety Mirage: How Spurious Correlations Undermine VLM Safety Fine-Tuning and Can Be Mitigated by Machine Unlearning
by: Chen, Yiwei, et al.
Published: (2025)

When Bias Pretends to Be Truth: How Spurious Correlations Undermine Hallucination Detection in LLMs
by: Wang, Shaowen, et al.
Published: (2025)

Rethinking Tokenized Graph Transformers for Node Classification
by: Chen, Jinsong, et al.
Published: (2025)

Uncovering Memorization Effect in the Presence of Spurious Correlations
by: You, Chenyu, et al.
Published: (2025)

Graph Similarity Computation via Interpretable Neural Node Alignment
by: Wang, Jingjing, et al.
Published: (2024)

Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility
by: Barsbey, Melih, et al.
Published: (2025)

TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations
by: Zhang, Zheng, et al.
Published: (2024)

Bridging Explainability and Embeddings: BEE Aware of Spuriousness
by: Păduraru, Cristian Daniel, et al.
Published: (2024)

Spurious Rewards: Rethinking Training Signals in RLVR
by: Shao, Rulin, et al.
Published: (2025)

SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs
by: Fang, Lanting, et al.
Published: (2024)

Towards Mechanistic Interpretability of Graph Transformers via Attention Graphs
by: El, Batu, et al.
Published: (2025)