Lukasz Korycki

22 papers A* 1B 2Journal 11Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	CAFE: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning. ICCVW Hao Yu, Zhuokai Zhao, Shen Yan, Lukasz Korycki, Jianyu Wang, Baosheng He, Jiayi Liu, Lizhu Zhang, Xiangjun Fan, Hanchao Yu
2025	J	`jnl`	CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning. CoRR Hao Yu, Zhuokai Zhao, Shen Yan, Lukasz Korycki, Jianyu Wang, Baosheng He, Jiayi Liu, Lizhu Zhang, Xiangjun Fan, Hanchao Yu
2024	—	`conf`	Class-Incremental Mixture of Gaussians for Deep Continual Learning. CVPR Workshops Lukasz Korycki, Bartosz Krawczyk
2024	J	`jnl`	Correction: Adversarial concept drift detection under poisoning attacks for robust data stream mining. Mach. Learn. Lukasz Korycki, Bartosz Krawczyk
2023	J	`jnl`	Adversarial concept drift detection under poisoning attacks for robust data stream mining. Mach. Learn. Lukasz Korycki, Bartosz Krawczyk
2023	J	`jnl`	Class-Incremental Mixture of Gaussians for Deep Continual Learning. CoRR Lukasz Korycki, Bartosz Krawczyk
2022	J	`jnl`	Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams. Pattern Recognit. Lukasz Korycki, Bartosz Krawczyk
2021	—	`conf`	Class-Incremental Experience Replay for Continual Learning Under Concept Drift. CVPR Workshops Lukasz Korycki, Bartosz Krawczyk
2021	J	`jnl`	Class-Incremental Experience Replay for Continual Learning under Concept Drift. CoRR Lukasz Korycki, Bartosz Krawczyk
2021	A*	`conf`	Concept Drift Detection from Multi-Class Imbalanced Data Streams. ICDE Lukasz Korycki, Bartosz Krawczyk
2021	J	`jnl`	Concept Drift Detection from Multi-Class Imbalanced Data Streams. CoRR Lukasz Korycki, Bartosz Krawczyk
2021	—	`conf`	Low-Dimensional Representation Learning from Imbalanced Data Streams. PAKDD (1) Lukasz Korycki, Bartosz Krawczyk
2021	J	`jnl`	Mining Drifting Data Streams on a Budget: Combining Active Learning with Self-Labeling. CoRR Lukasz Korycki, Bartosz Krawczyk
2021	—	`conf`	Streaming Decision Trees for Lifelong Learning. ECML/PKDD (1) Lukasz Korycki, Bartosz Krawczyk
2020	J	`jnl`	Adaptive Deep Forest for Online Learning from Drifting Data Streams. CoRR Lukasz Korycki, Bartosz Krawczyk
2020	J	`jnl`	Adversarial Concept Drift Detection under Poisoning Attacks for Robust Data Stream Mining. CoRR Lukasz Korycki, Bartosz Krawczyk
2020	J	`jnl`	Instance exploitation for learning temporary concepts from sparsely labeled drifting data streams. CoRR Lukasz Korycki, Bartosz Krawczyk
2020	B	`conf`	Online Oversampling for Sparsely Labeled Imbalanced and Non-Stationary Data Streams. IJCNN Lukasz Korycki, Bartosz Krawczyk
2019	—	`conf`	Active Learning with Abstaining Classifiers for Imbalanced Drifting Data Streams. IEEE BigData Lukasz Korycki, Alberto Cano, Bartosz Krawczyk
2019	B	`conf`	Unsupervised Drift Detector Ensembles for Data Stream Mining. DSAA Lukasz Korycki, Bartosz Krawczyk
2018	—	`conf`	Clustering-Driven and Dynamically Diversified Ensemble for Drifting Data Streams. IEEE BigData Lukasz Korycki, Bartosz Krawczyk
2017	—	`conf`	Combining Active Learning and Self-Labeling for Data Stream Mining. CORES Lukasz Korycki, Bartosz Krawczyk