Oleksiy Ostapenko

According to our database, Oleksiy Ostapenko authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Guiding Language Model Reasoning with Planning Tokens.

Xinyi Wang, Lucas Caccia, Oleksiy Ostapenko, Xingdi Yuan, Alessandro Sordoni

CoRR, 2023

Challenging Common Assumptions about Catastrophic Forgetting and Knowledge Accumulation.

Timothée Lesort, Oleksiy Ostapenko, Pau Rodríguez, Diganta Misra, Md Rifat Arefin, Laurent Charlin, Irina Rish

Proceedings of the Conference on Lifelong Learning Agents, 2023

From IID to the Independent Mechanisms assumption in continual learning.

Oleksiy Ostapenko, Pau Rodríguez, Alexandre Lacoste, Laurent Charlin

Proceedings of the AAAI Bridge Program on Continual Causality, 2023

2022

Scaling the Number of Tasks in Continual Learning.

Timothée Lesort, Oleksiy Ostapenko, Diganta Misra, Md Rifat Arefin, Pau Rodríguez, Laurent Charlin, Irina Rish

CoRR, 2022

Foundational Models for Continual Learning: An Empirical Study of Latent Replay.

Oleksiy Ostapenko, Timothée Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin

CoRR, 2022

Continual Learning with Foundation Models: An Empirical Study of Latent Replay.

Oleksiy Ostapenko, Timothée Lesort, Pau Rodríguez, Md Rifat Arefin, Arthur Douillard, Irina Rish, Laurent Charlin

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Sequoia: A Software Framework to Unify Continual Learning Research.

Fabrice Normandin, Florian Golemo, Oleksiy Ostapenko, Pau Rodríguez, Matthew D. Riemer, Julio Hurtado, Khimya Khetarpal, Dominic Zhao, Ryan Lindeborg, Timothée Lesort, Laurent Charlin, Irina Rish, Massimo Caccia

CoRR, 2021

Continual Learning via Local Module Composition.

Oleksiy Ostapenko, Pau Rodríguez, Massimo Caccia, Laurent Charlin

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning.

Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Caccia, Issam H. Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin

CoRR, 2020

Online Fast Adaptation and Knowledge Accumulation (OSAKA): a New Approach to Continual Learning.

Massimo Caccia, Pau Rodríguez, Oleksiy Ostapenko, Fabrice Normandin, Min Lin, Lucas Page-Caccia, Issam Hadj Laradji, Irina Rish, Alexandre Lacoste, David Vázquez, Laurent Charlin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Pruning at a Glance: Global Neural Pruning for Model Compression.

Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein, Moin Nabi

CoRR, 2019

Self-Paced Adversarial Training for Multimodal Few-Shot Learning.

Frederik Pahde, Oleksiy Ostapenko, Patrick Jähnichen, Tassilo Klein, Moin Nabi

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Prune Your Neurons Blindly: Neural Network Compression through Structured Class-blind Pruning.

Abdullah Salama, Oleksiy Ostapenko, Tassilo Klein, Moin Nabi

Proceedings of the IEEE International Conference on Acoustics, 2019

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning.

Oleksiy Ostapenko, Mihai Marian Puscas, Tassilo Klein, Patrick Jähnichen, Moin Nabi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Enhancing the Utilization of Gas Engine Module Exhaust Heat by Two-stage Chillers for Combined Electricity, Heat and Refrigeration.

Mykola Radchenko, Roman Radchenko, Oleksiy Ostapenko, Anatoliy Zubarev, Artem Hrych

Proceedings of the 5th International Conference on Systems and Informatics, 2018