{"list":"other","total":89,"rows":[{"id":"2201.12740","title":"FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting","created":"2022-01-30","cited_by_count":1210},{"id":"2004.05785","title":"Learning under Concept Drift: A Review","created":"2020-04-13","cited_by_count":477},{"id":"2002.06673","title":"Performative Prediction","created":"2020-02-16","cited_by_count":327},{"id":"2206.08367","title":"SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation","created":"2022-06-16","cited_by_count":146},{"id":"2211.13131","title":"FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning","created":"2022-11-23","cited_by_count":121},{"id":"2305.18803","title":"Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors","created":"2023-05-30","cited_by_count":113},{"id":"2203.11070","title":"From Concept Drift to Model Degradation: An Overview on Performance-Aware Drift Detectors","created":"2022-03-21","cited_by_count":83},{"id":"2007.01807","title":"Continuously Indexed Domain Adaptation","created":"2020-07-03","cited_by_count":75},{"id":"2309.12659","title":"OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling","created":"2023-09-22","cited_by_count":74},{"id":"1907.11216","title":"Domain Generalization via Multidomain Discriminant Analysis","created":"2019-07-25","cited_by_count":69},{"id":"2401.12425","title":"The Neglected Tails in Vision-Language Models","created":"2024-01-23","cited_by_count":63},{"id":"2302.03133","title":"Domain Adaptation for Time Series Under Feature and Label Shifts","created":"2023-02-06","cited_by_count":60},{"id":"2409.20371","title":"Frequency Adaptive Normalization For Non-stationary Time Series Forecasting","created":"2024-09-30","cited_by_count":47},{"id":"2403.06726","title":"Probabilistic Contrastive Learning for Long-Tailed Visual Recognition","created":"2024-03-11","cited_by_count":42},{"id":"2310.04723","title":"Subspace Identification for Multi-Source Domain Adaptation","created":"2023-10-07","cited_by_count":37},{"id":"2201.04038","title":"DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation","created":"2022-01-11","cited_by_count":36},{"id":"2412.09441","title":"MOS: Model Surgery for Pre-Trained Model-Based Class-Incremental Learning","created":"2024-12-12","cited_by_count":36},{"id":"2108.06721","title":"Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time","created":"2021-08-15","cited_by_count":28},{"id":"2111.04714","title":"A Dataset Perspective on Offline Reinforcement Learning","created":"2021-11-08","cited_by_count":27},{"id":"2406.09130","title":"Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning","created":"2024-06-13","cited_by_count":27},{"id":"2308.13305","title":"Dynamic Residual Classifier for Class Incremental Learning","created":"2023-08-25","cited_by_count":26},{"id":"2209.15210","title":"Multi-Prompt Alignment for Multi-Source Unsupervised Domain Adaptation","created":"2022-09-30","cited_by_count":25},{"id":"2310.17594","title":"SPA: A Graph Spectral Alignment Perspective for Domain Adaptation","created":"2023-10-26","cited_by_count":22},{"id":"2404.15625","title":"Optimizing OOD Detection in Molecular Graphs: A Novel Approach with Diffusion Models","created":"2024-04-24","cited_by_count":22},{"id":"2208.07365","title":"Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective","created":"2022-08-15","cited_by_count":21},{"id":"2305.04208","title":"Segmentation and Vascular Vectorization for Coronary Artery by Geometry-based Cascaded Neural Network","created":"2023-05-07","cited_by_count":21},{"id":"2405.13459","title":"Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards","created":"2024-05-22","cited_by_count":19},{"id":"2412.08435","title":"Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting","created":"2024-12-11","cited_by_count":19},{"id":"2403.04700","title":"Delving into the Trajectory Long-tail Distribution for Muti-object Tracking","created":"2024-03-07","cited_by_count":18},{"id":"2405.14039","title":"Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning","created":"2024-05-22","cited_by_count":18},{"id":"2312.10841","title":"Online Boosting Adaptive Learning under Concept Drift for Multistream Classification","created":"2023-12-17","cited_by_count":17},{"id":"2503.10468","title":"OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary","created":"2025-03-13","cited_by_count":17},{"id":"2603.01143","title":"TC-SSA: Token Compression via Semantic Slot Aggregation for Gigapixel Pathology Reasoning","created":"2026-03-01","cited_by_count":17},{"id":"2402.17517","title":"Label-Noise Robust Diffusion Models","created":"2024-02-27","cited_by_count":16},{"id":"2406.17813","title":"Unsupervised Concept Drift Detection from Deep Learning Representations in Real-time","created":"2024-06-24","cited_by_count":16},{"id":"2407.15620","title":"Dual Test-time Training for Out-of-distribution Recommender System","created":"2024-07-22","cited_by_count":16},{"id":"2411.09858","title":"One Leaf Reveals the Season: Occlusion-Based Contrastive Learning with Semantic-Aware Views for Efficient Visual Representation","created":"2024-11-15","cited_by_count":16},{"id":"2511.19515","title":"Fewer Tokens, Greater Scaling: Self-Adaptive Visual Bases for Efficient and Expansive Representation Learning","created":"2025-11-24","cited_by_count":16},{"id":"2301.01054","title":"Benchmarking common uncertainty estimation methods with histopathological images under domain shift and label noise","created":"2023-01-03","cited_by_count":15},{"id":"2405.16075","title":"Continuous Temporal Domain Generalization","created":"2024-05-25","cited_by_count":15},{"id":"2403.20236","title":"Long-Tailed Anomaly Detection with Learnable Class Names","created":"2024-03-29","cited_by_count":14},{"id":"2404.02900","title":"DeiT-LT Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets","created":"2024-04-03","cited_by_count":14},{"id":"2410.11397","title":"FOOGD: Federated Collaboration for Both Out-of-distribution Generalization and Detection","created":"2024-10-15","cited_by_count":14},{"id":"2505.12585","title":"Learning Robust Spectral Dynamics for Temporal Domain Generalization","created":"2025-05-19","cited_by_count":14},{"id":"2508.01598","title":"Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning","created":"2025-08-03","cited_by_count":14},{"id":"2409.14983","title":"Dynamic Integration of Task-Specific Adapters for Class Incremental Learning","created":"2024-09-23","cited_by_count":13},{"id":"2410.22461","title":"Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection","created":"2024-10-29","cited_by_count":13},{"id":"2112.02000","title":"A Survey on Concept Drift in Process Mining","created":"2021-12-03","cited_by_count":12},{"id":"2207.11759","title":"Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges","created":"2022-07-24","cited_by_count":12},{"id":"2310.04941","title":"Test-Time Adaptation Induces Stronger Accuracy and Agreement-on-the-Line","created":"2023-10-07","cited_by_count":11},{"id":"2211.12578","title":"Online Federated Learning via Non-Stationary Detection and Adaptation amidst Concept Drift","created":"2022-11-22","cited_by_count":10},{"id":"2410.06109","title":"Continuous Contrastive Learning for Long-Tailed Semi-Supervised Recognition","created":"2024-10-08","cited_by_count":10},{"id":"1901.02052","title":"Multi-Source Transfer Learning for Non-Stationary Environments","created":"2019-01-07","cited_by_count":9},{"id":"1910.03434","title":"ATL: Autonomous Knowledge Transfer from Many Streaming Processes","created":"2019-10-08","cited_by_count":9},{"id":"2412.05823","title":"DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices","created":"2024-12-08","cited_by_count":9},{"id":"2601.04163","title":"Scanner-Induced Domain Shifts Undermine the Robustness of Pathology Foundation Models","created":"2026-01-07","cited_by_count":9},{"id":"2309.16127","title":"Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation","created":"2023-09-28","cited_by_count":8},{"id":"2310.06077","title":"Performative Time-Series Forecasting","created":"2023-10-09","cited_by_count":8},{"id":"2412.11158","title":"Early Concept Drift Detection via Prediction Uncertainty","created":"2024-12-15","cited_by_count":8},{"id":"2109.01996","title":"Automatic Online Multi-Source Domain Adaptation","created":"2021-09-05","cited_by_count":7},{"id":"2307.09676","title":"Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy Weather","created":"2023-07-18","cited_by_count":7},{"id":"2502.07620","title":"Resilient Contrastive Pre-training under Non-Stationary Drift","created":"2025-02-11","cited_by_count":7},{"id":"2506.05736","title":"Generalized Incremental Learning under Concept Drift across Evolving Data Streams","created":"2025-06-06","cited_by_count":7},{"id":"2210.13533","title":"Sufficient Invariant Learning for Distribution Shift","created":"2022-10-24","cited_by_count":6},{"id":"2310.01508","title":"CODA: Temporal Domain Generalization via Concept Drift Simulator","created":"2023-10-02","cited_by_count":6},{"id":"2310.17159","title":"MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift","created":"2023-10-26","cited_by_count":6},{"id":"2402.01887","title":"On $f$-Divergence Principled Domain Adaptation: An Improved Framework","created":"2024-02-02","cited_by_count":6},{"id":"2404.01179","title":"BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning","created":"2024-04-01","cited_by_count":6},{"id":"2409.06455","title":"Continual Domain Incremental Learning for Privacy-aware Digital Pathology","created":"2024-09-10","cited_by_count":5},{"id":"2409.18733","title":"Search and Detect: Training-Free Long Tail Object Detection via Web-Image Retrieval","created":"2024-09-26","cited_by_count":5},{"id":"2504.02775","title":"TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection","created":"2025-04-03","cited_by_count":5},{"id":"2506.17718","title":"Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains","created":"2025-06-21","cited_by_count":5},{"id":"2602.07399","title":"VGAS: Value-Guided Action-Chunk Selection for Few-Shot Vision-Language-Action Adaptation","created":"2026-02-07","cited_by_count":5},{"id":"2604.02695","title":"XrayClaw: Cooperative-Competitive Multi-Agent Alignment for Trustworthy Chest X-ray Diagnosis","created":"2026-04-03","cited_by_count":5},{"id":"2106.13703","title":"Task-Driven Detection of Distribution Shifts with Statistical Guarantees for Robot Learning","created":"2021-06-25","cited_by_count":4},{"id":"2303.14115","title":"Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions","created":"2023-03-24","cited_by_count":4},{"id":"2310.08677","title":"GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts","created":"2023-10-12","cited_by_count":4},{"id":"2501.01480","title":"CORAL: Concept Drift Representation Learning for Co-evolving Time-series","created":"2025-01-02","cited_by_count":4},{"id":"2601.12493","title":"Histopath-C: Towards Realistic Domain Shifts for Histopathology Vision-Language Adaptation","created":"2026-01-18","cited_by_count":4},{"id":"2211.12989","title":"Unsupervised Unlearning of Concept Drift with Autoencoders","created":"2022-11-23","cited_by_count":3},{"id":"2410.14061","title":"Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization","created":"2024-10-17","cited_by_count":3},{"id":"2509.09397","title":"Decoupling Clinical and Class-Agnostic Features for Reliable Few-Shot Adaptation under Shift","created":"2025-09-11","cited_by_count":3},{"id":"2408.01931","title":"Sharpness-Aware Cross-Domain Recommendation to Cold-Start Users","created":"2024-08-04","cited_by_count":2},{"id":"2501.04588","title":"Federated-Continual Dynamic Segmentation of Histopathology guided by Barlow Continuity","created":"2025-01-08","cited_by_count":2},{"id":"2505.08524","title":"Attention-based Generative Latent Replay: A Continual Learning Approach for WSI Analysis","created":"2025-05-13","cited_by_count":2},{"id":"2603.06757","title":"Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection","created":"2026-03-06","cited_by_count":2},{"id":"2604.15705","title":"Towards Robust Endogenous Reasoning: Unifying Drift Adaptation in Non-Stationary Tuning","created":"2026-04-17","cited_by_count":2},{"id":"2511.09953","title":"Autonomous Concept Drift Threshold Determination","created":"2025-11-13","cited_by_count":1},{"id":"2601.00716","title":"Detecting Performance Degradation under Data Shift in Pathology Vision-Language Model","created":"2026-01-02","cited_by_count":1}],"next_cursor":null}