{"total":84,"rows":[{"id":"2108.13624","title":"Towards Out-Of-Distribution Generalization: A Survey","created":"2021-08-31","cited_by_count":436,"area":null},{"id":"2305.18887","title":"How Does Information Bottleneck Help Deep Learning?","created":"2023-05-30","cited_by_count":93,"area":null},{"id":"2201.00057","title":"Optimal Representations for Covariate Shift","created":"2021-12-31","cited_by_count":51,"area":null},{"id":"2306.11078","title":"Beyond Normal: On the Evaluation of Mutual Information Estimators","created":"2023-06-19","cited_by_count":37,"area":null},{"id":"2201.12919","title":"Provable Domain Generalization via Invariant-Feature Subspace Recovery","created":"2022-01-30","cited_by_count":32,"area":null},{"id":"2303.02328","title":"Decompose, Adjust, Compose: Effective Normalization by Playing with Frequency for Domain Generalization","created":"2023-03-04","cited_by_count":26,"area":null},{"id":"2205.14900","title":"FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation","created":"2022-05-30","cited_by_count":24,"area":null},{"id":"2206.05263","title":"Causal Balancing for Domain Generalization","created":"2022-06-10","cited_by_count":20,"area":null},{"id":"2310.13852","title":"Gradual Domain Adaptation: Theory and Algorithms","created":"2023-10-20","cited_by_count":18,"area":null},{"id":"2412.00878","title":"Beyond Pixels: Text Enhances Generalization in Real-World Image Restoration","created":"2024-12-01","cited_by_count":17,"area":null},{"id":"2306.15902","title":"Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization","created":"2023-06-28","cited_by_count":15,"area":null},{"id":"2310.18777","title":"Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings","created":"2023-10-28","cited_by_count":15,"area":null},{"id":"2404.13815","title":"Improving Group Robustness on Spurious Correlation Requires Preciser Group Inference","created":"2024-04-22","cited_by_count":15,"area":null},{"id":"2209.15177","title":"Domain Generalization -- A Causal Perspective","created":"2022-09-30","cited_by_count":14,"area":null},{"id":"2402.08228","title":"Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective","created":"2024-02-13","cited_by_count":13,"area":null},{"id":"2309.13258","title":"Order-preserving Consistency Regularization for Domain Adaptation and Generalization","created":"2023-09-23","cited_by_count":11,"area":null},{"id":"2309.16460","title":"Diverse Target and Contribution Scheduling for Domain Generalization","created":"2023-09-28","cited_by_count":10,"area":null},{"id":"2410.10924","title":"A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets","created":"2024-10-14","cited_by_count":10,"area":null},{"id":"2412.13573","title":"Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes","created":"2024-12-18","cited_by_count":10,"area":null},{"id":"2305.11615","title":"SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization","created":"2023-05-19","cited_by_count":9,"area":null},{"id":"2502.06343","title":"Prediction-Powered Causal Inferences","created":"2025-02-10","cited_by_count":9,"area":null},{"id":"2210.02655","title":"Domain Generalization via Contrastive Causal Learning","created":"2022-10-06","cited_by_count":8,"area":null},{"id":"2401.09716","title":"HCVP: Leveraging Hierarchical Contrastive Visual Prompt for Domain Generalization","created":"2024-01-18","cited_by_count":8,"area":null},{"id":"2307.04317","title":"Text Descriptions are Compressive and Invariant Representations for Visual Learning","created":"2023-07-10","cited_by_count":7,"area":null},{"id":"2307.13055","title":"MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning","created":"2023-07-24","cited_by_count":7,"area":null},{"id":"2405.09514","title":"Tackling Distribution Shifts in Task-Oriented Communication with Information Bottleneck","created":"2024-05-15","cited_by_count":7,"area":null},{"id":"2301.08970","title":"The Conditional Cauchy-Schwarz Divergence with Applications to Time-Series Data and Sequential Decision Making","created":"2023-01-21","cited_by_count":6,"area":null},{"id":"2310.05348","title":"Continuous Invariance Learning","created":"2023-10-09","cited_by_count":6,"area":null},{"id":"2405.15961","title":"Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images","created":"2024-05-24","cited_by_count":6,"area":null},{"id":"2304.14618","title":"Recognizable Information Bottleneck","created":"2023-04-28","cited_by_count":5,"area":null},{"id":"2403.07601","title":"Unified Source-Free Domain Adaptation","created":"2024-03-12","cited_by_count":5,"area":null},{"id":"2506.17718","title":"Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains","created":"2025-06-21","cited_by_count":5,"area":null},{"id":"2305.15792","title":"IDEA: Invariant Defense for Graph Adversarial Robustness","created":"2023-05-25","cited_by_count":4,"area":null},{"id":"2306.04893","title":"Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization","created":"2023-06-08","cited_by_count":4,"area":null},{"id":"2309.04063","title":"INSURE: An Information Theory Inspired Disentanglement and Purification Model for Domain Generalization","created":"2023-09-08","cited_by_count":4,"area":null},{"id":"2110.06057","title":"Gated Information Bottleneck for Generalization in Sequential Environments","created":"2021-10-12","cited_by_count":3,"area":null},{"id":"2201.10460","title":"Conditional entropy minimization principle for learning domain invariant representation features","created":"2022-01-25","cited_by_count":3,"area":null},{"id":"2502.12088","title":"Meta-Statistical Learning: Supervised Learning of Statistical Estimators","created":"2025-02-17","cited_by_count":3,"area":null},{"id":"2207.12194","title":"Domain Decorrelation with Potential Energy Ranking","created":"2022-07-25","cited_by_count":2,"area":null},{"id":"2208.00898","title":"Joint covariate-alignment and concept-alignment: a framework for domain generalization","created":"2022-08-01","cited_by_count":2,"area":null},{"id":"2212.04221","title":"An Empirical Study on Multi-Domain Robust Semantic Segmentation","created":"2022-12-08","cited_by_count":2,"area":null},{"id":"2304.00629","title":"A principled approach to model validation in domain generalization","created":"2023-04-02","cited_by_count":2,"area":null},{"id":"2406.16608","title":"When Invariant Representation Learning Meets Label Shift: Insufficiency and Theoretical Insights","created":"2024-06-24","cited_by_count":2,"area":null},{"id":"2408.01697","title":"Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization","created":"2024-08-03","cited_by_count":2,"area":null},{"id":"2502.10716","title":"Why Domain Generalization Fail? A View of Necessity and Sufficiency","created":"2025-02-15","cited_by_count":2,"area":null},{"id":"2505.22829","title":"Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies","created":"2025-05-28","cited_by_count":2,"area":null},{"id":"2506.09446","title":"Harmonizing and Merging Source Models for CLIP-based Domain Generalization","created":"2025-06-11","cited_by_count":2,"area":null},{"id":"2606.01092","title":"A Fiber Criterion for Representation Identifiability in Supervised Learning","created":"2026-05-31","cited_by_count":2,"area":null},{"id":"2210.04155","title":"Constrained Maximum Cross-Domain Likelihood for Domain Generalization","created":"2022-10-09","cited_by_count":1,"area":null},{"id":"2210.15000","title":"Trade-off between reconstruction loss and feature alignment for domain generalization","created":"2022-10-26","cited_by_count":1,"area":null},{"id":"2310.07171","title":"Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients","created":"2023-10-11","cited_by_count":1,"area":null},{"id":"2310.16277","title":"Bayesian Domain Invariant Learning via Posterior Generalization of Parameter Distributions","created":"2023-10-25","cited_by_count":1,"area":null},{"id":"2311.00966","title":"Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms","created":"2023-11-02","cited_by_count":1,"area":null},{"id":"2312.06226","title":"Invariant Representation via Decoupling Style and Spurious Features from Images","created":"2023-12-11","cited_by_count":1,"area":null},{"id":"2312.09758","title":"Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach","created":"2023-12-15","cited_by_count":1,"area":null},{"id":"2402.01238","title":"Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training","created":"2024-02-02","cited_by_count":1,"area":null},{"id":"2409.08557","title":"DICS: Find Domain-Invariant and Class-Specific Features for Out-of-Distribution Generalization","created":"2024-09-13","cited_by_count":1,"area":null},{"id":"2504.17314","title":"Class-Conditional Distribution Balancing for Group Robust Classification","created":"2025-04-24","cited_by_count":1,"area":null},{"id":"2505.06831","title":"Fine-Grained Class-Conditional Distribution Balancing for Debiased Learning","created":"2025-05-11","cited_by_count":1,"area":null},{"id":"2505.21920","title":"InfoSAM: Fine-Tuning the Segment Anything Model from An Information-Theoretic Perspective","created":"2025-05-28","cited_by_count":1,"area":null},{"id":"2510.19330","title":"Exploring Scale Shift in Crowd Localization under the Context of Domain Generalization","created":"2025-10-22","cited_by_count":1,"area":null},{"id":"2602.06549","title":"Refining the Information Bottleneck via Adversarial Information Separation","created":"2026-02-06","cited_by_count":1,"area":null},{"id":"2207.12876","title":"Repeated Environment Inference for Invariant Learning","created":"2022-07-26","cited_by_count":0,"area":null},{"id":"2208.07798","title":"Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution Generalization","created":"2022-08-16","cited_by_count":0,"area":null},{"id":"2210.16034","title":"A Survey on Causal Representation Learning and Future Work for Medical Image Analysis","created":"2022-10-28","cited_by_count":0,"area":null},{"id":"2305.12686","title":"Conformal Inference for Invariant Risk Minimization","created":"2023-05-22","cited_by_count":0,"area":null},{"id":"2309.03999","title":"Adapting Self-Supervised Representations to Multi-Domain Setups","created":"2023-09-07","cited_by_count":0,"area":null},{"id":"2412.10089","title":"Guidance Not Obstruction: A Conjugate Consistent Enhanced Strategy for Domain Generalization","created":"2024-12-13","cited_by_count":0,"area":null},{"id":"2502.05593","title":"Semantic Data Augmentation Enhanced Invariant Risk Minimization for Medical Image Domain Generalization","created":"2025-02-08","cited_by_count":0,"area":null},{"id":"2503.17896","title":"Multi-Disease-Aware Training Strategy for Cardiac MR Image Segmentation","created":"2025-03-23","cited_by_count":0,"area":null},{"id":"2505.18770","title":"Dual-Path Stable Soft Prompt Generation for Domain Generalization","created":"2025-05-24","cited_by_count":0,"area":null},{"id":"2508.14077","title":"Label Smoothing is a Pragmatic Information Bottleneck","created":"2025-08-12","cited_by_count":0,"area":null},{"id":"2512.03300","title":"HydroDCM: Hydrological Domain-Conditioned Modulation for Cross-Reservoir Inflow Prediction","created":"2025-12-02","cited_by_count":0,"area":null},{"id":"2601.03459","title":"An Expectation-Maximization Algorithm for Domain Adaptation in Gaussian Causal Models","created":"2026-01-06","cited_by_count":0,"area":null},{"id":"2601.04361","title":"Causally-Aware Information Bottleneck for Domain Adaptation","created":"2026-01-07","cited_by_count":0,"area":null},{"id":"2602.03906","title":"GeoIB: Geometry-Aware Information Bottleneck via Statistical-Manifold Compression","created":"2026-02-03","cited_by_count":0,"area":null},{"id":"2602.06373","title":"ReBeCA: Unveiling Interpretable Behavior Hierarchy behind the Iterative Self-Reflection of Language Models with Causal Analysis","created":"2026-02-06","cited_by_count":0,"area":null},{"id":"2603.13595","title":"A Causal Framework for Mitigating Data Shifts in Healthcare","created":"2026-03-13","cited_by_count":0,"area":null},{"id":"2605.01967","title":"MER-DG: Modality-Entropy Regularization for Multimodal Domain Generalization","created":"2026-05-03","cited_by_count":0,"area":null},{"id":"2605.07914","title":"Flatness and Gradient Alignment Are Both Necessary: Spectral-Aware Gradient-Aligned Exploration for Multi-Distribution Learning","created":"2026-05-08","cited_by_count":0,"area":null},{"id":"2607.01657","title":"Domain Generalization via Text-Anchored Information Bottleneck","created":"2026-07-02","cited_by_count":0,"area":null},{"id":"2608.00056","title":"Domain-Generalized Adaptive Semantic Communication for Collaborative Perception","created":"2026-07-27","cited_by_count":0,"area":null},{"id":"2609.09186","title":"M2LG-DG: A Multi-modal Local-Global Domain Generalization Framework for Cross-site Major Depressive Disorder Classification","created":"2026-08-31","cited_by_count":0,"area":null},{"id":"2609.39512","title":"Can Domain Generalization be Guaranteed in Small-Sample Learning?","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}