Papers citing '5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor Localization'

Title
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference ClassificationIEEE/IFIP Network Operations and Management Symposium (NOMS), 2024 Nishant S. Gaikwad Lucas Heublein Nisha Lakshmana Raichur Tobias Feigl Christopher Mutschler Felix Ott 303 9 0 31 Dec 2024
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation Yucheng Wang Peiliang Gong Ruibing Jin Felix Ott Xiaoli Li Lihua Xie Zhenghua Chen TTA 367 5 0 29 Sep 2024
Evaluating ML Robustness in GNSS Interference Classification, Characterization & LocalizationInternational Conference on Localization and Global Navigation Satellite System (ICL-GNSS), 2024 Lucas Heublein Tobias Feigl Thorsten Nowak A. Rügamer Christopher Mutschler Felix Ott 339 11 0 23 Sep 2024
FeMLoc: Federated Meta-learning for Adaptive Wireless Indoor Localization Tasks in IoT NetworksIEEE Internet of Things Journal (IEEE IoT J.), 2024 Yaya Etiabi Wafa Njima El-Mehdi Amhoud 166 10 0 17 May 2024
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning Nisha Lakshmana Raichur Lucas Heublein Tobias Feigl A. Rügamer Christopher Mutschler Felix Ott CLL BDL 443 12 0 17 May 2024
Graph-Based vs. Error State Kalman Filter-Based Fusion Of 5G And Inertial Data For MAV Indoor Pose Estimation M. Kabiri Claudio Cimarelli Hriday Bavle J. L. Sánchez-López Holger Voos 187 7 0 31 Mar 2024
One-Shot Domain Incremental Learning Yasushi Esaki Satoshi Koide Takuro Kutsuna CLL VLM 278 2 0 25 Mar 2024
Neural 5G Indoor Localization with IMU Supervision Aleksandr Ermolov Shreya Kadambi Maximilian Arnold Mohammed Hirzallah Roohollah Amiri ... S. Yerramalli Daniel Dijkman Fatih Porikli Taesang Yoo Bence Major 195 5 0 15 Feb 2024
5G Positioning Advancements with AI/ML Mohammad Alawieh Georgios Kontes 112 6 0 10 Nov 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory and AlgorithmNeural Information Processing Systems (NeurIPS), 2023 Haizhou Shi Hao Wang CLL 284 38 0 18 Oct 2023
Improving Replay Sample Selection and Storage for Less Forgetting in Continual Learning Daniel Brignac N. Lobo Abhijit Mahalanobis KELM 213 14 0 03 Aug 2023
Prediction Error-based Classification for Class-Incremental LearningInternational Conference on Learning Representations (ICLR), 2023 Michal Zajkac Tinne Tuytelaars Gido M. van de Ven CLL 270 12 0 30 May 2023
Multi-Environment based Meta-Learning with CSI Fingerprints for Radio Based PositioningIEEE Wireless Communications and Networking Conference (WCNC), 2022 Anastasios Foliadis M. H. C. García R. Stirling-Gallacher Reiner S. Thomä 72 12 0 26 Oct 2022
Improving Replay-Based Continual Semantic Segmentation with Smart Data Selection Tobias Kalb Björn Mauthe Jürgen Beyerer CLL 129 14 0 20 Sep 2022
An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions M. Jehanzeb Mirza Marc Masana Horst Possegger Horst Bischof CLL 212 101 0 19 Apr 2022
Domain Adaptation for Time-Series Classification to Mitigate Covariate ShiftACM Multimedia (ACM MM), 2022 Felix Ott David Rügamer Lucas Heublein B. Bischl Christopher Mutschler OOD TTA AI4TS 210 42 0 07 Apr 2022
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 430 1,403 0 28 Nov 2018
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 1.1K 8,777 1 02 Dec 2016
Learning without ForgettingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016 Zhizhong Li Derek Hoiem CLL OOD SSL 1.0K 5,080 0 29 Jun 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 482 2,686 0 15 Jun 2016