On uncertainty estimation in active learning for image segmentation. - Bo Li 119; Tommy Sonne Alstrøm (CoRR, 2020)

Decoupled appearance and motion learning for efficient anomaly detection in surveillance video. - Bo Li 119; Sam Leroux; Pieter Simoens (Comput. Vis. Image Underst., 2021)

Multi-branch Neural Networks for Video Anomaly Detection in Adverse Lighting and Weather Conditions. - Sam Leroux; Bo Li 119; Pieter Simoens (WACV, 2022)

Automated training of location-specific edge models for traffic counting. - Sam Leroux; Bo Li 119; Pieter Simoens (Comput. Electr. Eng., 2022)

Raman Spectrum Matching with Contrastive Representation Learning. - Bo Li 119; Mikkel N. Schmidt; Tommy S. Alstrøm (CoRR, 2022)

Partial Variance Reduction improves Non-Convex Federated learning on heterogeneous data. - Bo Li 119; Mikkel N. Schmidt; Tommy S. Alstrøm; Sebastian U. Stich (CoRR, 2022)

On the Effectiveness of Partial Variance Reduction in Federated Learning with Heterogeneous Data. - Bo Li 119; Mikkel N. Schmidt; Tommy S. Alstrøm; Sebastian U. Stich (CVPR, 2023)

An improved analysis of per-sample and per-update clipping in federated learning. - Bo Li 119; Xiaowen Jiang; Mikkel N. Schmidt; Tommy Sonne Alstrøm; Sebastian U. Stich (ICLR, 2024)

Synthetic data shuffling accelerates the convergence of federated learning under data heterogeneity. - Bo Li 119; Yasin Esfandiari; Mikkel N. Schmidt; Tommy Sonne Alstrøm; Sebastian U. Stich (Trans. Mach. Learn. Res., 2024)