Amal Rannen-Triki

16 papers A* 4Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Benchmarking Diversity in Image Generation via Attribute-Conditional Human Evaluation.
CoRR
Isabela Albuquerque, Ira Ktena, Olivia Wiles, Ivana Kajic, Amal Rannen-Triki, Cristina Nader Vasconcelos, Aida Nematzadeh
2025 J jnl
Fine-Tuned In-Context Learners for Efficient Adaptation.
CoRR
Jörg Bornschein, Clare Lyle, Yazhe Li, Amal Rannen-Triki, Xu Owen He, Razvan Pascanu
2024 A* conf
Kalman Filter for Online Classification of Non-Stationary Data.
ICLR
Michalis K. Titsias, Alexandre Galashov, Amal Rannen-Triki, Razvan Pascanu, Yee Whye Teh, Jörg Bornschein
2024 A* conf
Mind the Graph When Balancing Data for Fairness or Robustness.
NeurIPS
Jessica Schrouff, Alexis Bellot, Amal Rannen-Triki, Alan Malek, Isabela Albuquerque, Arthur Gretton, Alexander D'Amour, Silvia Chiappa
2024 J jnl
Mind the Graph When Balancing Data for Fairness or Robustness.
CoRR
Jessica Schrouff, Alexis Bellot, Amal Rannen-Triki, Alan Malek, Isabela Albuquerque, Arthur Gretton, Alexander D'Amour, Silvia Chiappa
2024 J jnl
Revisiting Dynamic Evaluation: Online Adaptation for Large Language Models.
CoRR
Amal Rannen-Triki, Jörg Bornschein, Razvan Pascanu, Marcus Hutter, András György, Alexandre Galashov, Yee Whye Teh, Michalis K. Titsias
2024 J jnl
Transformers for Supervised Online Continual Learning.
CoRR
Jörg Bornschein, Yazhe Li, Amal Rannen-Triki
2023 J jnl
Kalman Filter for Online Classification of Non-Stationary Data.
CoRR
Michalis K. Titsias, Alexandre Galashov, Amal Rannen-Triki, Razvan Pascanu, Yee Whye Teh, Jörg Bornschein
2023 J jnl
Nevis'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research.
J. Mach. Learn. Res.
Jörg Bornschein, Alexandre Galashov, Ross Hemsley, Amal Rannen-Triki, Yutian Chen, Arslan Chaudhry, Xu Owen He, Arthur Douillard, Massimo Caccia, Qixuan Feng, Jiajun Shen, Sylvestre-Alvise Rebuffi, Kitty Stacpoole, Diego de Las Casas, Will Hawkins, Angeliki Lazaridou, Yee Whye Teh, Andrei A. Rusu, Razvan Pascanu, Marc'Aurelio Ranzato
2023 A* conf
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union.
NeurIPS
Zifu Wang, Maxim Berman, Amal Rannen-Triki, Philip H. S. Torr, Devis Tuia, Tinne Tuytelaars, Luc Van Gool, Jiaqian Yu, Matthew B. Blaschko
2023 J jnl
Towards Compute-Optimal Transfer Learning.
CoRR
Massimo Caccia, Alexandre Galashov, Arthur Douillard, Amal Rannen-Triki, Dushyant Rao, Michela Paganini, Laurent Charlin, Marc'Aurelio Ranzato, Razvan Pascanu
2023 J jnl
Towards Robust and Efficient Continual Language Learning.
CoRR
Adam Fisch, Amal Rannen-Triki, Razvan Pascanu, Jörg Bornschein, Angeliki Lazaridou, Elena Gribovskaya, Marc'Aurelio Ranzato
2022 J jnl
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research.
CoRR
Jörg Bornschein, Alexandre Galashov, Ross Hemsley, Amal Rannen-Triki, Yutian Chen, Arslan Chaudhry, Xu Owen He, Arthur Douillard, Massimo Caccia, Qixuang Feng, Jiajun Shen, Sylvestre-Alvise Rebuffi, Kitty Stacpoole, Diego de Las Casas, Will Hawkins, Angeliki Lazaridou, Yee Whye Teh, Andrei A. Rusu, Razvan Pascanu, Marc'Aurelio Ranzato
2021 A* conf
On the Role of Optimization in Double Descent: A Least Squares Study.
NeurIPS
Ilja Kuzborskij, Csaba Szepesvári, Omar Rivasplata, Amal Rannen-Triki, Razvan Pascanu
2021 J jnl
On the Role of Optimization in Double Descent: A Least Squares Study.
CoRR
Ilja Kuzborskij, Csaba Szepesvári, Omar Rivasplata, Amal Rannen-Triki, Razvan Pascanu
2019 — conf
Function Norms for Neural Networks.
ICCV Workshops
Amal Rannen-Triki, Maxim Berman, Vladimir Kolmogorov, Matthew B. Blaschko