Oleksiy Ostapenko

Oleksiy Ostapenko

Université de Montréal

H-index: 8

North America-Canada

About Oleksiy Ostapenko

Oleksiy Ostapenko, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Université de Montréal, specializes in the field of Lifelong Learning, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Guiding language model reasoning with planning tokens

From IID to the Independent Mechanisms assumption in continual learning

Generative adversarial network with dynamic capacity expansion for continual learning

A Case Study of Instruction Tuning with Mixture of Parameter-Efficient Experts

Challenging Common Assumptions about Catastrophic Forgetting and Knowledge Accumulation

Continual Learning with Foundational Models: An Empirical Study of Latent Replay

Attention for Compositional Modularity

Continual learning via local module composition

Oleksiy Ostapenko Information

University

Position

MILA

Citations(all)

553

Citations(since 2020)

553

Cited By

106

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

8

i10Index(since 2020)

8

Email

University Profile Page

Université de Montréal

Google Scholar

View Google Scholar Profile

Oleksiy Ostapenko Skills & Research Interests

Lifelong Learning

Machine Learning

Top articles of Oleksiy Ostapenko

Title

Journal

Author(s)

Publication Date

Guiding language model reasoning with planning tokens

arXiv preprint arXiv:2310.05707

Xinyi Wang

Lucas Caccia

Oleksiy Ostapenko

Xingdi Yuan

Alessandro Sordoni

2023/10/9

From IID to the Independent Mechanisms assumption in continual learning

Oleksiy Ostapenko

Pau Rodríguez

Alexandre Lacoste

Laurent Charlin

2023/6/4

Generative adversarial network with dynamic capacity expansion for continual learning

2023/1/3

A Case Study of Instruction Tuning with Mixture of Parameter-Efficient Experts

Oleksiy Ostapenko

Lucas Caccia

Zhan Su

Nicolas Le Roux

Laurent Charlin

...

2023/11/26

Challenging Common Assumptions about Catastrophic Forgetting and Knowledge Accumulation

Timothée Lesort

Oleksiy Ostapenko

Pau Rodríguez

Diganta Misra

Md Rifat Arefin

...

2023/11/20

Continual Learning with Foundational Models: An Empirical Study of Latent Replay

Oleksiy Ostapenko

Timothee Lesort

Pau Rodríguez

Md Rifat Arefin

Arthur Douillard

...

2022/4/30

Attention for Compositional Modularity

Oleksiy Ostapenko

Pau Rodriguez

Alexandre Lacoste

Laurent Charlin

2022

Continual learning via local module composition

Advances in Neural Information Processing Systems

Oleksiy Ostapenko

Pau Rodriguez

Massimo Caccia

Laurent Charlin

2021/12/6

Sequoia: A software framework to unify continual learning research

arXiv preprint arXiv:2108.01005

Fabrice Normandin

Florian Golemo

Oleksiy Ostapenko

Pau Rodriguez

Matthew D Riemer

...

2021/8/2

Self-paced adversarial training for multimodal and 3D model few-shot learning

2021/4/27

Online fast adaptation and knowledge accumulation (osaka): a new approach to continual learning

NeurIPS 2020

Massimo Caccia

Pau Rodriguez

Oleksiy Ostapenko

Fabrice Normandin

Min Lin

...

2020/3/12

See List of Professors in Oleksiy Ostapenko University(Université de Montréal)

Co-Authors

H-index: 30
Laurent Charlin

Laurent Charlin

HEC Montréal

H-index: 13
Massimo Caccia

Massimo Caccia

Université de Montréal

H-index: 10
Lucas Caccia

Lucas Caccia

McGill University

H-index: 7
Patrick Jähnichen

Patrick Jähnichen

Humboldt-Universität zu Berlin

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