A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning. - Paul Janson; Wenxuan Zhang 001; Rahaf Aljundi; Mohamed Elhoseiny (CoRR, 2022)

Continual Zero-Shot Learning through Semantically Guided Generative Random Walks. - Wenxuan Zhang 001; Paul Janson; Kai Yi; Ivan Skorokhodov; Mohamed Elhoseiny (ICCV, 2023)

Overcoming General Knowledge Loss with Selective Parameter Finetuning. - Wenxuan Zhang 001; Paul Janson; Rahaf Aljundi; Mohamed Elhoseiny (CoRR, 2023)

Overcoming Generic Knowledge Loss with Selective Parameter Update. - Wenxuan Zhang 001; Paul Janson; Rahaf Aljundi; Mohamed Elhoseiny (CVPR, 2024)

Towards Motion from Video Diffusion Models. - Paul Janson; Tiberiu Popa; Eugene Belilovsky (ECCV Workshops (12), 2024)

FewShotNeRF: Meta-Learning-based Novel View Synthesis for Rapid Scene-Specific Adaptation. - Piraveen Sivakumar; Paul Janson; Jathushan Rajasegaran; Thanuja D. Ambegoda (CoRR, 2024)

Beyond Cosine Decay: On the effectiveness of Infinite Learning Rate Schedule for Continual Pre-training. - Vaibhav Singh; Paul Janson; Paria Mehrbod; Adam Ibrahim; Irina Rish; Eugene Belilovsky; Benjamin Thérien (CoRR, 2025)

PyLO: Towards Accessible Learned Optimizers in PyTorch. - Paul Janson; Benjamin Thérien; Quentin Anthony; Xiaolong Huang; Abhinav Moudgil; Eugene Belilovsky (CoRR, 2025)