{"total":53,"rows":[{"id":"2403.02241","title":"Neural Redshift: Random Networks are not Random Functions","created":"2024-03-04","cited_by_count":43,"area":null},{"id":"2402.12715","title":"The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning","created":"2024-02-20","cited_by_count":41,"area":null},{"id":"2504.01396","title":"All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning","created":"2025-04-02","cited_by_count":24,"area":null},{"id":"2405.05847","title":"Learned feature representations are biased by complexity, learning order, position, and more","created":"2024-05-09","cited_by_count":23,"area":null},{"id":"2406.19087","title":"Dimensions underlying the representational alignment of deep neural networks with humans","created":"2024-06-27","cited_by_count":22,"area":null},{"id":"2405.16391","title":"When does compositional structure yield compositional generalization? A kernel theory","created":"2024-05-26","cited_by_count":20,"area":null},{"id":"2404.11534","title":"Decomposing and Editing Predictions by Modeling Model Computation","created":"2024-04-17","cited_by_count":19,"area":null},{"id":"2407.06076","title":"Understanding Visual Feature Reliance through the Lens of Complexity","created":"2024-07-08","cited_by_count":15,"area":null},{"id":"2407.11243","title":"Representation Learning and Identity Adversarial Training for Facial Behavior Understanding","created":"2024-07-15","cited_by_count":14,"area":null},{"id":"2502.01347","title":"Spurious Correlations in High Dimensional Regression: The Roles of Regularization, Simplicity Bias and Over-Parameterization","created":"2025-02-03","cited_by_count":9,"area":null},{"id":"2405.18296","title":"Bias in Motion: Theoretical Insights into the Dynamics of Bias in SGD Training","created":"2024-05-28","cited_by_count":8,"area":null},{"id":"2506.14276","title":"Don't throw the baby out with the bathwater: How and why deep learning for ARC","created":"2025-06-17","cited_by_count":7,"area":null},{"id":"2506.14698","title":"Towards Desiderata-Driven Design of Visual Counterfactual Explainers","created":"2025-06-17","cited_by_count":7,"area":null},{"id":"2503.07315","title":"Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions","created":"2025-03-10","cited_by_count":6,"area":null},{"id":"2507.22216","title":"Representation biases: will we achieve complete understanding by analyzing representations?","created":"2025-07-29","cited_by_count":6,"area":null},{"id":"2410.22944","title":"Focus On This, Not That! Steering LLMs with Adaptive Feature Specification","created":"2024-10-30","cited_by_count":5,"area":null},{"id":"2505.10930","title":"Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models","created":"2025-05-16","cited_by_count":5,"area":null},{"id":"2506.13253","title":"Distinct Computations Emerge From Compositional Curricula in In-Context Learning","created":"2025-06-16","cited_by_count":5,"area":null},{"id":"2502.09150","title":"Shortcut Learning Susceptibility in Vision Classifiers","created":"2025-02-13","cited_by_count":4,"area":null},{"id":"2505.24843","title":"From Invariant Representations to Invariant Data: Provable Robustness to Spurious Correlations via Noisy Counterfactual Matching","created":"2025-05-30","cited_by_count":3,"area":null},{"id":"2507.00493","title":"Visual Anagrams Reveal Hidden Differences in Holistic Shape Processing Across Vision Models","created":"2025-07-01","cited_by_count":3,"area":null},{"id":"2508.11017","title":"Beyond the Rosetta Stone: Unification Forces in Generalization Dynamics","created":"2025-08-14","cited_by_count":3,"area":null},{"id":"2509.24797","title":"Fidelity-Aware Data Composition for Robust Robot Generalization","created":"2025-09-29","cited_by_count":3,"area":null},{"id":"2410.02735","title":"OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?","created":"2024-10-03","cited_by_count":2,"area":null},{"id":"2510.00034","title":"Review of Hallucination Understanding in Large Language and Vision Models","created":"2025-09-26","cited_by_count":2,"area":null},{"id":"2406.08933","title":"LaCoOT: Layer Collapse through Optimal Transport","created":"2024-06-13","cited_by_count":1,"area":null},{"id":"2406.16275","title":"Investigating the Influence of Prompt-Specific Shortcuts in AI Generated Text Detection","created":"2024-06-24","cited_by_count":1,"area":null},{"id":"2408.15947","title":"Auxiliary Input in Training: Incorporating Catheter Features into Deep Learning Models for ECG-Free Dynamic Coronary Roadmapping","created":"2024-08-28","cited_by_count":1,"area":null},{"id":"2508.15086","title":"Wormhole Dynamics in Deep Neural Networks","created":"2025-08-20","cited_by_count":1,"area":null},{"id":"2511.22892","title":"ClearGCD: Mitigating Shortcut Learning For Robust Generalized Category Discovery","created":"2025-11-28","cited_by_count":1,"area":null},{"id":"2512.22874","title":"Let Samples Speak: Mitigating Spurious Correlation by Exploiting the Clusterness of Samples","created":"2025-12-28","cited_by_count":1,"area":null},{"id":"2605.15775","title":"Continual Learning of Domain-Invariant Representations","created":"2026-05-15","cited_by_count":1,"area":null},{"id":"2608.09093","title":"The Announcement Carries the Cue: Markup, Boundaries, and the Notation of Pre-Training Corpora","created":"2026-08-10","cited_by_count":1,"area":null},{"id":"2405.15240","title":"Towards Real-world Debiasing: Rethinking Evaluation, Challenge, and Solution","created":"2024-05-24","cited_by_count":0,"area":null},{"id":"2407.14069","title":"Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective","created":"2024-07-19","cited_by_count":0,"area":null},{"id":"2411.14345","title":"Layer Pruning with Consensus: A Triple-Win Solution","created":"2024-11-21","cited_by_count":0,"area":null},{"id":"2412.06265","title":"Table2Image: Lightweight Tabular Learning with Generated Proxy Representations and Reliability Diagnostics","created":"2024-12-09","cited_by_count":0,"area":null},{"id":"2505.12100","title":"Improving Fairness in LLMs Through Testing-Time Adversaries","created":"2025-05-17","cited_by_count":0,"area":null},{"id":"2509.07955","title":"ACE and Diverse Generalization via Selective Disagreement","created":"2025-09-09","cited_by_count":0,"area":null},{"id":"2510.00475","title":"Diagnosing Shortcut-Induced Rigidity in Continual Learning: The Einstellung Rigidity Index (ERI)","created":"2025-10-01","cited_by_count":0,"area":null},{"id":"2510.02109","title":"SpurBreast: A Curated Dataset for Investigating Spurious Correlations in Real-world Breast MRI Classification","created":"2025-10-02","cited_by_count":0,"area":null},{"id":"2510.10075","title":"Gradient-based Model Shortcut Detection for Time Series Classification","created":"2025-10-11","cited_by_count":0,"area":null},{"id":"2511.13013","title":"You Only Look Omni Gradient Backpropagation for Moving Infrared Small Target Detection","created":"2025-11-17","cited_by_count":0,"area":null},{"id":"2512.21985","title":"LVLM-Aided Alignment of Task-Specific Vision Models","created":"2025-12-26","cited_by_count":0,"area":null},{"id":"2602.03066","title":"Shortcut Features as Top Eigenfunctions of NTK: A Linear Neural Network Case and More","created":"2026-02-03","cited_by_count":0,"area":null},{"id":"2605.02658","title":"Deciphering Shortcut Learning from an Evolutionary Game Theory Perspective","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2605.03052","title":"How Language Models Process Negation","created":"2026-05-04","cited_by_count":0,"area":null},{"id":"2606.28697","title":"Mitigating Batch Effects in Histopathology via Language-Mediated Robust Embedding Generation","created":"2026-06-27","cited_by_count":0,"area":null},{"id":"2607.10116","title":"When Data Imbalance Helps: Robust Generalization Through Shortcut Saturation","created":"2026-07-11","cited_by_count":0,"area":null},{"id":"2607.16085","title":"Controlling Implicit Shortcut Reliance in L2 Spoken English Auto-markers","created":"2026-07-17","cited_by_count":0,"area":null},{"id":"2609.05937","title":"Beyond Classification: Structured Supervision Aligns Visual Evidence with Medical Semantics","created":"2026-09-05","cited_by_count":0,"area":null},{"id":"2610.02092","title":"Scalable, Transferable Meta-network for Data Selection Requires a Different Loss (and Why the Obvious Choice is Problematic)","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.16471","title":"Auditing Observation-Quality Shortcuts in the Evaluation of Person-Centered Motion for Video Anomaly Detection","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}