Sökresultat - "Distribution shift"

Robust Training of Deep Learning Models for Mammogram Classification

Martinez-Martinez, Josue, Brown, Olivia, Bai, Jun, Nabavi, Sheida

2025 IEEE 22nd International Symposium on Biomedical Imaging (ISBI)

Causal-TSF: A Causal Intervention Approach to Mitigate Confounding Bias in Time Series Forecasting

Gong, Q., Pan, Y., Lai, H., Qiu, R., Yin, J.

A Robust Myoelectric Gesture Recognition Method for Enhancing the Reliability of Human-Robot Interaction

Wang, L., Chen, Z., Zhou, S., Yu, Y., Li, X.

RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-Distribution Detection

Song, Y., Wang, W., Sebe, N.

Robust Novelty Detection Through Style-Conscious Feature Ranking

Smeu, Stefan, Burceanu, Elena, Haller, Emanuela, Nicolicioiu, Andrei Liviu

2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning

Wang, Z., Yang, E., Shen, L., Huang, H.

Artemis: Defending Against Backdoor Attacks via Distribution Shift

Xue, M., Wang, Z., Zhang, Q., Gong, X., Liu, Z., Chen, Y.

Improve Cross-Domain Mixed Sampling With Guidance Training for Adaptive Segmentation

Zhou, W., Zhou, Z., Wang, T., Zeng, D.

Learning General Brain Network Representations of Different Brain Disorders Using Invariant Subgraph GNN

Zhang, H., Song, R., Wang, L., Mou, L., Lu, Y., Zhao, Y., Zhang, W.

Spatially Enhanced Refined Classifier for Cross-Scene Hyperspectral Image Classification

Wang, Z., Chen, L., Tian, Y., He, J., Philip Chen, C.L.

Prototype-Driven Unsupervised Domain Adaptation for Specific Emitter Identification

Chen, J., Yu, L., Chen, Y., Zheng, X., Chen, P., Cheng, K.

Assessing Membership Inference Attacks under Distribution Shifts

Yichuan, Shi, Kotevska, Olivera, Reshniak, Viktor, Sadovnik, Amir

2024 IEEE International Conference on Big Data (BigData)

Meta-Learning for Debiasing Recommendation using Simulated Uniform Data

Lu, Sibo, Liu, Zhen, Yang, Xinxin, Ding, Yilin, Gao, Yibo, Yuan, Yafan

2024 IEEE International Conference on Big Data (BigData)

Effective Model Replacement for Solving Objective Mismatches in Pre-trained Model Compositions

Kharel, Arogya, Baek, KyeongDeok, Ko, In-Young

2024 31st Asia-Pacific Software Engineering Conference (APSEC)

Test-Time Medical Image Segmentation Using CLIP-Guided SAM Adaptation

Chen, Haotian, Xu, Yonghui, Xu, Yanyu, Zhang, Yixin, Cui, Lizhen

2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Pretext Tasks in Test Time Adaptation Under Distribution Shifts-A Survey and Future Directions

Liu, Kai, Zhang, Jicong, Wang, Shiqi

2024 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)

Evaluation of Dataset Distribution in Biomedical Image Classification Against Image Acquisition Distortions

Aguilera-Gonzalez, Santiago, Renza, Diego, Moya-Albor, Ernesto

2024 20th International Symposium on Medical Information Processing and Analysis (SIPAIM)

Temporal Evaluation of Uncertainty Quantification Under Distribution Shift

Svensson, Emma, Friesacher, Hannah Rosa, Arany, Ádám, Mervin, Lewis H., Engkvist, Ola, 1967

electronic

FedDCS: Dynamical Client Selection for Federated Learning in Mobile Scenarios with Label Distribution Shift

Pang, Junjie, Du, Haohua, Liu, Zhiyi, Xu, Xiaoya, Feng, YuanHao

2024 10th International Conference on Big Data Computing and Communications (BigCom)

Offline Deep Reinforcement Learning Two-stage Optimization Framework Applied to Recommendation Systems

Jiang, Yihua, Liu, Qi, Li, Yanjie

2024 43rd Chinese Control Conference (CCC)