{"total":24,"rows":[{"id":"2310.18555","title":"Group Robust Classification Without Any Group Information","created":"2023-10-28","cited_by_count":25,"area":null},{"id":"2410.13798","title":"Learning Graph Quantized Tokenizers","created":"2024-10-17","cited_by_count":19,"area":null},{"id":"2312.02592","title":"FRAPPE: A Group Fairness Framework for Post-Processing Everything","created":"2023-12-05","cited_by_count":16,"area":null},{"id":"2504.05461","title":"Intermediate Layer Classifiers for OOD generalization","created":"2025-04-07","cited_by_count":14,"area":null},{"id":"2307.13136","title":"Does Progress On Object Recognition Benchmarks Improve Real-World Generalization?","created":"2023-07-24","cited_by_count":13,"area":null},{"id":"2301.12467","title":"Continual Learning for Predictive Maintenance: Overview and Challenges","created":"2023-01-29","cited_by_count":10,"area":null},{"id":"2406.19049","title":"Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation","created":"2024-06-27","cited_by_count":9,"area":null},{"id":"2405.06582","title":"The Role of Learning Algorithms in Collective Action","created":"2024-05-10","cited_by_count":8,"area":null},{"id":"2403.13808","title":"On Pretraining Data Diversity for Self-Supervised Learning","created":"2024-03-20","cited_by_count":7,"area":null},{"id":"2308.04528","title":"Unsupervised Camouflaged Object Segmentation as Domain Adaptation","created":"2023-08-08","cited_by_count":4,"area":null},{"id":"2310.12793","title":"OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift","created":"2023-10-19","cited_by_count":4,"area":null},{"id":"2306.12673","title":"Identifying and Disentangling Spurious Features in Pretrained Image Representations","created":"2023-06-22","cited_by_count":3,"area":null},{"id":"2410.03140","title":"In-context Learning in Presence of Spurious Correlations","created":"2024-10-04","cited_by_count":3,"area":null},{"id":"2604.11679","title":"Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge","created":"2026-04-13","cited_by_count":3,"area":null},{"id":"2310.06622","title":"Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts","created":"2023-10-10","cited_by_count":2,"area":null},{"id":"2311.17853","title":"On the Adversarial Robustness of Graph Contrastive Learning Methods","created":"2023-11-29","cited_by_count":2,"area":null},{"id":"2411.15240","title":"A Foundation Model for Wearable Movement Data in Mental Health Research","created":"2024-11-22","cited_by_count":2,"area":null},{"id":"2505.15867","title":"SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph Retrieval","created":"2025-05-21","cited_by_count":2,"area":null},{"id":"2507.05221","title":"CTA: Cross-Task Alignment for Better Test Time Training","created":"2025-07-07","cited_by_count":1,"area":null},{"id":"2207.09785","title":"Unsupervised energy disaggregation via convolutional sparse coding","created":"2022-07-20","cited_by_count":0,"area":null},{"id":"2407.18673","title":"A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention","created":"2024-07-26","cited_by_count":0,"area":null},{"id":"2503.08078","title":"Trend-Aware Supervision: On Learning Invariance for Semi-Supervised Facial Action Unit Intensity Estimation","created":"2025-03-11","cited_by_count":0,"area":null},{"id":"2506.10200","title":"DynaSubVAE: Adaptive Subgrouping for Scalable and Robust OOD Detection","created":"2025-06-11","cited_by_count":0,"area":null},{"id":"2510.25926","title":"Active Learning with Task-Driven Representations for Messy Pools","created":"2025-10-29","cited_by_count":0,"area":null}],"next_cursor":null}