Matthias De Lange

24 papers A* 5A 1Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Multilingual JobBERT for Cross-Lingual Job Title Matching. CLEF (Working Notes) Jens-Joris Decorte, Matthias De Lange, Jeroen Van Hautte
2025	J	`jnl`	Multilingual JobBERT for Cross-Lingual Job Title Matching. CoRR Jens-Joris Decorte, Matthias De Lange, Jeroen Van Hautte
2025	J	`jnl`	Unified Work Embeddings: Contrastive Learning of a Bidirectional Multi-task Ranker. CoRR Matthias De Lange, Jens-Joris Decorte, Jeroen Van Hautte
2024	A*	`conf`	Towards Open-World Gesture Recognition. ISMAR Junxiao Shen, Matthias De Lange, Xuhai Xu, Enmin Zhou, Ran Tan, Naveen Suda, Maciej Lazarewicz, Per Ola Kristensson, Amy Karlson, Evan Strasnick
2024	J	`jnl`	Towards Open-World Gesture Recognition. CoRR Junxiao Shen, Matthias De Lange, Xuhai Orson Xu, Enmin Zhou, Ran Tan, Naveen Suda, Maciej Lazarewicz, Per Ola Kristensson, Amy Karlson, Evan Strasnick
2023	J	`jnl`	CLAD: A realistic Continual Learning benchmark for Autonomous Driving. Neural Networks Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
2023	A*	`conf`	Continual evaluation for lifelong learning: Identifying the stability gap. ICLR Matthias De Lange, Gido M. van de Ven, Tinne Tuytelaars
2023	J	`jnl`	EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video. CoRR Matthias De Lange, Hamid Eghbalzadeh, Reuben Tan, Michael L. Iuzzolino, Franziska Meier, Karl Ridgeway
2023	J	`jnl`	Multiscale Video Pretraining for Long-Term Activity Forecasting. CoRR Reuben Tan, Matthias De Lange, Michael L. Iuzzolino, Bryan A. Plummer, Kate Saenko, Karl Ridgeway, Lorenzo Torresani
2022	J	`jnl`	3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding. CoRR Lorenzo Pellegrini, Chenchen Zhu, Fanyi Xiao, Zhicheng Yan, Antonio Carta, Matthias De Lange, Vincenzo Lomonaco, Roshan Sumbaly, Pau Rodríguez, David Vázquez
2022	J	`jnl`	A Continual Learning Survey: Defying Forgetting in Classification Tasks. IEEE Trans. Pattern Anal. Mach. Intell. Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars
2022	J	`jnl`	CLAD: A realistic Continual Learning benchmark for Autonomous Driving. CoRR Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
2022	J	`jnl`	Continual evaluation for lifelong learning: Identifying the stability gap. CoRR Matthias De Lange, Gido van de Ven, Tinne Tuytelaars
2022	J	`jnl`	Re-examining Distillation For Continual Object Detection. CoRR Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
2022	A	`conf`	Re-examining Distillation for Continual Object Detection. BMVC Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars
2021	—	`conf`	Avalanche: An End-to-End Library for Continual Learning. CVPR Workshops Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Ahmad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
2021	J	`jnl`	Avalanche: an End-to-End Library for Continual Learning. CoRR Vincenzo Lomonaco, Lorenzo Pellegrini, Andrea Cossu, Antonio Carta, Gabriele Graffieti, Tyler L. Hayes, Matthias De Lange, Marc Masana, Jary Pomponi, Gido M. van de Ven, Martin Mundt, Qi She, Keiland W. Cooper, Jeremy Forest, Eden Belouadah, Simone Calderara, German Ignacio Parisi, Fabio Cuzzolin, Andreas S. Tolias, Simone Scardapane, Luca Antiga, Subutai Amhad, Adrian Popescu, Christopher Kanan, Joost van de Weijer, Tinne Tuytelaars, Davide Bacciu, Davide Maltoni
2021	A*	`conf`	Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams. ICCV Matthias De Lange, Tinne Tuytelaars
2021	A*	`conf`	Rehearsal revealed: The limits and merits of revisiting samples in continual learning. ICCV Eli Verwimp, Matthias De Lange, Tinne Tuytelaars
2021	J	`jnl`	Rehearsal revealed: The limits and merits of revisiting samples in continual learning. CoRR Eli Verwimp, Matthias De Lange, Tinne Tuytelaars
2020	J	`jnl`	Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams. CoRR Matthias De Lange, Tinne Tuytelaars
2020	A*	`conf`	Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem. CVPR Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars
2020	J	`jnl`	Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem. CoRR Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars
2019	J	`jnl`	Continual learning: A comparative study on how to defy forgetting in classification tasks. CoRR Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory G. Slabaugh, Tinne Tuytelaars