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Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning

17 May 2024

Nisha Lakshmana Raichur

Lucas Heublein

Tobias Feigl

A. Rügamer

Christopher Mutschler

Papers citing "Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning"

48 / 48 papers shown

Title
5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor Localization Nisha Lakshmana Raichur Lucas Heublein Christopher Mutschler Felix Ott 61 0 0 23 May 2025
VAE-based Feature Disentanglement for Data Augmentation and Compression in Generalized GNSS Interference Classification Lucas Heublein Simon Kocher Tobias Feigl A. Rügamer Christopher Mutschler Felix Ott DRL 84 1 0 14 Apr 2025
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies Lucas Heublein Nisha Lakshmana Raichur Tobias Feigl Tobias Brieger Fin Heuer Lennart Asbach A. Rügamer Felix Ott 209 8 0 31 Mar 2025
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification Nishant S. Gaikwad Lucas Heublein Nisha Lakshmana Raichur Tobias Feigl Christopher Mutschler Felix Ott 116 7 0 31 Dec 2024
Achieving Generalization in Orchestrating GNSS Interference Monitoring Stations Through Pseudo-Labeling Lucas Heublein Tobias Feigl A. Rügamer Felix Ott 123 7 0 03 Oct 2024
Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization Lucas Heublein Tobias Feigl Thorsten Nowak A. Rügamer Christopher Mutschler Felix Ott 98 8 0 23 Sep 2024
Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data Felix Ott Lucas Heublein Nisha Lakshmana Raichur Tobias Feigl Jonathan Hansen A. Rügamer Christopher Mutschler 85 9 0 09 Feb 2024
Class-Balancing Diffusion Models Yiming Qin Huangjie Zheng Jiangchao Yao Mingyuan Zhou Ya Zhang DiffM 123 44 0 30 Apr 2023
Class-Incremental Exemplar Compression for Class-Incremental Learning Zilin Luo Yaoyao Liu Bernt Schiele Qianru Sun VLM CLL 149 49 0 24 Mar 2023
Bayesian Self-Supervised Contrastive Learning B. Liu Bang-wei Wang Tianrui Li SSL BDL 104 4 0 27 Jan 2023
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift Andreas Klass Sven M. Lorenz M. Lauer-Schmaltz David Rügamer Bernd Bischl Christopher Mutschler Felix Ott 79 10 0 17 Jun 2022
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning Da-Wei Zhou Qiwen Wang Han-Jia Ye De-Chuan Zhan 83 140 0 26 May 2022
FOSTER: Feature Boosting and Compression for Class-Incremental Learning Fu Lee Wang Da-Wei Zhou Han-Jia Ye De-Chuan Zhan CLL 97 262 0 10 Apr 2022
General Incremental Learning with Domain-aware Categorical Representations Jiangwei Xie Shipeng Yan Xuming He OOD CLL 134 39 0 08 Apr 2022
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries Jihwan Bang Hyun-woo Koh Seulki Park Hwanjun Song Jung-Woo Ha Jonghyun Choi CLL 104 40 0 29 Mar 2022
Auxiliary Cross-Modal Representation Learning with Triplet Loss Functions for Online Handwriting Recognition Felix Ott David Rügamer Lucas Heublein Bernd Bischl Christopher Mutschler 131 10 0 16 Feb 2022
Learning to Prompt for Continual Learning Zifeng Wang Zizhao Zhang Chen-Yu Lee Han Zhang Ruoxi Sun Xiaoqi Ren Guolong Su Vincent Perot Jennifer Dy Tomas Pfister CLL VPVLM KELM VLM 107 801 0 16 Dec 2021
Bayesian Graph Contrastive Learning Arman Hasanzadeh Mohammadreza Armandpour Ehsan Hajiramezanali Mingyuan Zhou N. Duffield K. Narayanan UQCV BDL SSL 53 5 0 15 Dec 2021
CLASSIC: Continual and Contrastive Learning of Aspect Sentiment Classification Tasks Zixuan Ke Bing-Quan Liu Hu Xu Lei Shu CLL 77 58 0 05 Dec 2021
DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion Arthur Douillard Alexandre Ramé Guillaume Couairon Matthieu Cord CLL 149 314 0 22 Nov 2021
Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference Hyun-woo Koh Dahyun Kim Jung-Woo Ha Jonghyun Choi CLL 72 69 0 19 Oct 2021
Co $^2$ L: Contrastive Continual Learning Hyuntak Cha Jaeho Lee Jinwoo Shin CLL SSL VLM 170 309 0 28 Jun 2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples Jihwan Bang Heesu Kim Y. Yoo Jung-Woo Ha Jonghyun Choi CLL 130 347 0 31 Mar 2021
Contrastive Domain Adaptation Mamatha Thota Georgios Leontidis SSL 95 60 0 26 Mar 2021
Online Continual Learning in Image Classification: An Empirical Survey Zheda Mai Ruiwen Li Jihwan Jeong David Quispe Hyunwoo J. Kim Scott Sanner VLM CLL 142 422 0 25 Jan 2021
Continual Lifelong Learning in Natural Language Processing: A Survey Magdalena Biesialska Katarzyna Biesialska Marta R. Costa-jussá KELM CLL 114 222 0 17 Dec 2020
Class-incremental learning: survey and performance evaluation on image classification Marc Masana Xialei Liu Bartlomiej Twardowski Mikel Menta Andrew D. Bagdanov Joost van de Weijer CLL 95 701 0 28 Oct 2020
Multi-Loss Weighting with Coefficient of Variations R. Groenendijk Sezer Karaoglu Theo Gevers Thomas Mensink 165 55 0 03 Sep 2020
Semantic Drift Compensation for Class-Incremental Learning Lu Yu Bartlomiej Twardowski Xialei Liu Luis Herranz Kai Wang Yongmei Cheng Shangling Jui Joost van de Weijer CLL 95 345 0 01 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 467 19,003 0 13 Feb 2020
Maintaining Discrimination and Fairness in Class Incremental Learning Bowen Zhao Xi Xiao Guojun Gan Bin Zhang Shutao Xia CLL 155 434 0 16 Nov 2019
Adversarial Representation Learning for Text-to-Image Matching N. Sarafianos Xiang Xu I. Kakadiaris GAN 122 188 0 28 Aug 2019
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 138 1,264 0 30 May 2019
A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning Thanh-Toan Do Toan M. Tran Ian Reid B. V. Kumar Tuan Hoang G. Carneiro 65 67 0 18 Apr 2019
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 162 1,179 0 28 Nov 2018
MHTN: Modal-adversarial Hybrid Transfer Network for Cross-modal Retrieval Xin Huang Yuxin Peng Mingkuan Yuan GAN 72 111 0 08 Aug 2017
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 322 2,752 0 26 Jun 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 282 3,144 0 19 May 2017
Beyond triplet loss: a deep quadruplet network for person re-identification Weihua Chen Xiaotang Chen Jianguo Zhang Kaiqi Huang 102 1,145 0 06 Apr 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 309 8,206 0 15 Mar 2017
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision? Alex Kendall Y. Gal BDL OOD UD UQCV PER 462 4,735 0 15 Mar 2017
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 400 7,631 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 310 3,799 0 23 Nov 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 467 4,461 0 29 Jun 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.7K 195,301 0 10 Dec 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 619 13,210 0 12 Mar 2015
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 634 26,297 0 11 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 235 4,958 0 06 Oct 2013