OOD Generalization

OOD

Centers on enhancing ML models' ability to generalize to out-of-distribution data, focusing on methods that improve robustness and reliability of model predictions in unfamiliar contexts.

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Enhancing Node-Level Graph Domain Adaptation by Alleviating Local Dependency Xinwei Tai Dongmian Zou Hongfei Wang OOD 13 0 0 15 Dec 2025
DA-SSL: self-supervised domain adaptor to leverage foundational models in turbt histopathology slides Haoyue Zhang Meera Chappidi Erolcan Sayar Helen Richards Zhijun Chen ... Alberto Contreras-Sanz Peter Black Jonathan Wright Stephanie Harmon Michael Haffner OOD 80 0 0 15 Dec 2025
Rethinking Physics-Informed Regression Beyond Training Loops and Bespoke Architectures Lorenzo Sabug Jr. Eric Kerrigan OOD 0 0 0 15 Dec 2025
TRACER: Transfer Learning based Real-time Adaptation for Clinical Evolving Risk Mengying Yan Ziye Tian Siqi Li Nan Liu Benjamin A. Goldstein Molei Liu Chuan Hong OOD 0 0 0 14 Dec 2025
Resolution-Independent Neural Operators for Multi-Rate Sparse-View CT Aujasvit Datta Jiayun Wang Asad Aali Armeet Singh Jatyani Anima Anandkumar OOD 4 0 0 13 Dec 2025
Optimizing the Training Diet: Data Mixture Search for Robust Time Series Forecasting Federico Pennino Maurizio Gabbrielli AI4TS OOD 76 0 0 12 Dec 2025
Self-Ensemble Post Learning for Noisy Domain Generalization Wang Lu Jindong Wang OOD VLM 44 0 0 11 Dec 2025
Neural Collapse in Test-Time Adaptation Xiao Chen Zhongjing Du Jiazhen Huang Xu Jiang Li Lu Jingyan Jiang Zhi Wang OOD AAML TTA 88 0 0 11 Dec 2025
Differential Privacy for Secure Machine Learning in Healthcare IoT-Cloud Systems N Mangala Murtaza Rangwala S Aishwarya B Eswara Reddy Rajkumar Buyya KR Venugopal SS Iyengar LM Patnaik OOD 52 0 0 11 Dec 2025
Contrast transfer functions help quantify neural network out-of-distribution generalization in HRTEM Luis Rangel DaCosta Mary C. Scott OOD 8 0 0 09 Dec 2025
Causal Attribution of Model Performance Gaps in Medical Imaging Under Distribution Shifts Pedro M. Gordaliza Nataliia Molchanova Jaume Banus Thomas Sanchez Meritxell Bach Cuadra OOD CML 92 0 0 09 Dec 2025
Long-only cryptocurrency portfolio management by ranking the assets: a neural network approachIEEE International Joint Conference on Neural Network (IJCNN), 2025 Zijiang Yang OOD AIFin 128 0 0 09 Dec 2025
Mask to Adapt: Simple Random Masking Enables Robust Continual Test-Time Learning Chandler Timm C. Doloriel OOD AAML 32 0 0 08 Dec 2025
Predictive Modeling of I/O Performance for Machine Learning Training Pipelines: A Data-Driven Approach to Storage Optimization Karthik Prabhakar OOD 36 0 0 07 Dec 2025
Adaptive Test-Time Training for Predicting Need for Invasive Mechanical Ventilation in Multi-Center Cohorts Xiaolei Lu Shamim Nemati OOD 28 0 0 07 Dec 2025
Empowering GNNs for Domain Adaptation via Denoising Target Graph Haiyang Yu Meng-Chieh Lee Xiang song Qi Zhu Christos Faloutsos OOD 204 0 0 06 Dec 2025
On The Role of K-Space Acquisition in MRI Reconstruction Domain-Generalization Mohammed Wattad Tamir Shor Alex Bronstein OOD 32 0 0 06 Dec 2025
State-Conditional Adversarial Learning: An Off-Policy Visual Domain Transfer Method for End-to-End Imitation Learning Yuxiang Liu Shengfan Cao OOD 256 0 0 05 Dec 2025
Neural Coherence : Find higher performance to out-of-distribution tasks from few samples Simon Guiroy Mats Richter Sarath Chandar Christopher Pal OOD OODD 220 0 0 05 Dec 2025
Temp-SCONE: A Novel Out-of-Distribution Detection and Domain Generalization Framework for Wild Data with Temporal Shift Aditi Naiknaware Sanchit Singh Hajar Homayouni Salimeh Sekeh OOD 28 0 0 04 Dec 2025
Coefficient of Variation Masking: A Volatility-Aware Strategy for EHR Foundation Models Rajna Fani Rafi Al Attrach David Restrepo Yugang Jia Leo Anthony Celi Peter Schüffler OOD 92 0 0 04 Dec 2025
When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate Florent Forest Amaury Wei Olga Fink AI4TS OOD 92 0 0 03 Dec 2025
Grokked Models are Better Unlearners Yuanbang Liang Yang Li MU OOD 221 0 0 03 Dec 2025
Feature-aware Modulation for Learning from Temporal Tabular Data Hao-Run Cai Han-Jia Ye OOD 44 0 0 03 Dec 2025
Studying Various Activation Functions and Non-IID Data for Machine Learning Model Robustness Long Dang Thushari Hapuarachchi Kaiqi Xiong Jing Lin OOD AAML 48 0 0 03 Dec 2025
A Large Scale Benchmark for Test Time Adaptation Methods in Medical Image Segmentation Wenjing Yu Shuo Jiang Yifei Chen Shuo Chang Yuanhan Wang ... Mingxuan Liu Shenghao Zhu Feiwei Qin Changmiao Wang Qiyuan Tian OOD VLM 144 0 0 02 Dec 2025
Revisiting Theory of Contrastive Learning for Domain Generalization Ali Alvandi Mina Rezaei OOD SSL 73 0 0 02 Dec 2025
Disentangling Progress in Medical Image Registration: Beyond Trend-Driven Architectures towards Domain-Specific Strategies Bailiang Jian Jiazhen Pan Rohit Jena Morteza Ghahremani Hongwei Bran Li Daniel Rueckert Christian Wachinger Benedikt Wiestler OOD 48 0 0 01 Dec 2025
Deep Unsupervised Anomaly Detection in Brain Imaging: Large-Scale Benchmarking and Bias Analysis Alexander Frotscher Christian F. Baumgartner Thomas Wolfers OOD 124 0 0 01 Dec 2025
RobustSurg: Tackling domain generalisation for out-of-distribution surgical scene segmentation Mansoor Ali Maksim Richards Gilberto Ochoa-Ruiz Sharib Ali OOD 128 0 0 01 Dec 2025
Open-Set Domain Adaptation Under Background Distribution Shift: Challenges and A Provably Efficient Solution Shravan Chaudhari Yoav Wald Suchi Saria OOD VLM 80 0 0 01 Dec 2025
Semantic-aware Random Convolution and Source Matching for Domain Generalization in Medical Image Segmentation Franz Thaler Martin Urschler Mateusz Kozinski Matthias AF Gsell Gernot Plank Darko Stern OOD MedIm 183 0 0 01 Dec 2025
Towards Precision Protein-Ligand Affinity Prediction Benchmark: A Complete and Modification-Aware DAVIS Dataset Ming-Hsiu Wu Ziqian Xie Shuiwang Ji Degui Zhi OOD 80 0 0 30 Nov 2025
Graph Data Augmentation with Contrastive Learning on Covariate Distribution Shift Fanlong Zeng Wensheng Gan OOD 48 0 0 30 Nov 2025
Limitations of Using Identical Distributions for Training and Testing When Learning Boolean Functions Jordi Pérez-Guijarro OOD 244 0 0 30 Nov 2025
Time Series Forecasting via Direct Per-Step Probability Distribution Modeling Linghao Kong Xiaopeng Hong AI4TS OOD 120 0 0 28 Nov 2025
Strategies to Minimize Out-of-Distribution Effects in Data-Driven MRS Quantification Julian P. Merkofer Antonia Kaiser Anouk Schrantee Oliver J. Gurney-Champion Ruud J. G. van Sloun OOD 93 0 0 28 Nov 2025
Learning to Refuse: Refusal-Aware Reinforcement Fine-Tuning for Hard-Irrelevant Queries in Video Temporal Grounding Jin-Seop Lee SungJoon Lee SeongJun Jung Boyang Li Jee-Hyong Lee OOD 40 0 0 28 Nov 2025
PISA: Prioritized Invariant Subgraph Aggregation Ali Ghasemi Farooq Ahmad Wani Maria Sofia Bucarelli Fabrizio Silvestri OOD 44 0 0 27 Nov 2025
FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts Dario Fenoglio Mohan Li Pietro Barbiero Nicholas D. Lane Marc Langheinrich Martin Gjoreski OOD 106 0 0 27 Nov 2025
Lost in Time? A Meta-Learning Framework for Time-Shift-Tolerant Physiological Signal Transformation Qian Hong Cheng Bian Xiao Zhou Xiaoyu Li Yelei Li Zijing Zeng OOD AI4TS 209 0 0 26 Nov 2025
A Probabilistic Framework for Temporal Distribution Generalization in Industry-Scale Recommender Systems Yuxuan Zhu Cong Fu Yabo Ni Anxiang Zeng Yuan Fang OOD 280 0 0 26 Nov 2025
The Driver-Blindness Phenomenon: Why Deep Sequence Models Default to Autocorrelation in Blood Glucose Forecasting Heman Shakeri OOD CML 101 0 0 25 Nov 2025
Towards Trustworthy Wi-Fi Sensing: Systematic Evaluation of Deep Learning Model Robustness to Adversarial Attacks Shreevanth Krishnaa Gopalakrishnan Stephen Hailes AAML OOD 124 0 0 25 Nov 2025
Enhancing Multi-Label Thoracic Disease Diagnosis with Deep Ensemble-Based Uncertainty Quantification Yasiru Laksara Uthayasanker Thayasivam OOD 77 0 0 24 Nov 2025
Shortcut Invariance: Targeted Jacobian Regularization in Disentangled Latent Space Shivam Pal Sakshi Varshney Piyush Rai OOD OODD CML 248 0 0 24 Nov 2025
MIST: Mutual Information Via Supervised Training German Gritsai Megan Richards Maxime Méloux Kyunghyun Cho Maxime Peyrard OOD 210 0 0 24 Nov 2025
AttenDence: Maximizing Attention Confidence for Test Time Adaptation Yash Mali OOD 244 0 0 24 Nov 2025
Development of a fully deep learning model to improve the reproducibility of sector classification systems for predicting unerupted maxillary canine likelihood of impaction Marzio Galdi Davide Cannatà Flavia Celentano Luigia Rizzo Domenico Rossi Tecla Bocchino Stefano Martina OOD 69 0 0 24 Nov 2025
Clinician-in-the-Loop Smart Home System to Detect Urinary Tract Infection Flare-Ups via Uncertainty-Aware Decision Support Chibuike E. Ugwu Roschelle Fritz D. Cook J. Doppa OOD 66 0 0 23 Nov 2025

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