Publications

2024

Journals


Conferences:


Workshops:

2023

Journals

Conferences

Workshops

2022

Journals

Conferences:

Workshops: 

2021

Journals

Conferences

Workshops: 

2020

Journals

Conferences

Workshops: 


Research Reports 

GOKU-UI: Ubiquitous Inference through Attention and Multiple Shooting for Continuous-time Generative Models

Germán Abrevaya, Mahta Ramezanian-Panahi, Jean-Christophe Gagnon-Audet, Irina Rish, Pablo Polosecki, Silvina Ponce Dawson, Guillermo Cecchi, Guillaume Dumas. "

GOKU-UI: Ubiquitous Inference through Attention and Multiple Shooting for Continuous-time Generative Models." arXiv preprint arXiv:2307.05735 (2023).


Towards ethical multimodal systems

Roger, Alexis, Esma Aïmeur, and Irina Rish. "Towards ethical multimodal systems." arXiv preprint arXiv:2304.13765 (2023). 


A survey on compositional generalization in applications

Lin, Baihan, Djallel Bouneffouf, and Irina Rish. "A survey on compositional generalization in applications." arXiv preprint arXiv:2302.01067 (2023). 


Knowledge distillation for federated learning: a practical guide

Mora, Alessio, Irene Tenison, Paolo Bellavista, and Irina Rish. "Knowledge distillation for federated learning: a practical guide." arXiv preprint arXiv:2211.04742 (2022). 


Gradient Masked Averaging for Federated Learning

Tenison, Irene, Sai Aravind Sreeramadas, Vaikkunth Mugunthan, Edouard Oyallon, Eugene Belilovsky, and Irina Rish. "Gradient Masked Averaging for Federated Learning." arXiv preprint arXiv:2201.11986 (2022).


Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers

Prato, Gabriele, Simon Guiroy, Ethan Caballero, Irina Rish, and Sarath Chandar. "Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers." arXiv preprint arXiv:2110.06990 (2021).  (slides)


Gupta, P; Maharaj, T; Weiss, M; Rahaman, N;  Alsdurf, H; Sharma A; Minoyan, N; Harnois-Leblanc, S; Schmidt, V; St. Charles, P.L; Deleu, T; Williams, A; Patel, A; Qu, M; Bilaniuk, O; Marceau Caron, G; Carrier, P.L; Ortiz-Gagné, S; Rousseau, M.A; Buckeridge D;  Ghosn, J; Zhang, Y; Schölkopf, B;  Tang, J; Rish, I; Pal, C; Merckx, J; Muller, E.B; Bengio, Y. COVI-AgentSim: An Agent-based Model for Evaluating Methods of Digital Contact Tracing. 2021. https://arxiv.org/abs/2010.16004


Bashivan, P; Bayat, R; Ibrahim, A; Ahuja, K; Faramarzi, M; Laleh, T, Richards, B; Rish, I. Adversarial Feature Desensitization. 2021. https://arxiv.org/abs/2006.04621


Khetarpal, K; Riemer, M; Rish, I; Precup, D. Towards Continual Reinforcement Learning: A Review and Perspectives. 2021. https://arxiv.org/abs/2012.13490


Alsdurf, H; Belliveau, E ; Bengio, Y; Deleu, T;  Gupta, P; Ippolito, D; Janda, R;  Jarvie, M; Kolody T; Krastev, S; Maharaj, T; Obryk, R; Pilat, D; Pisano V, Prud'homme, B; Qu M; Rahaman N; Rish, I; Rousseau, J.F; Sharma, A; Struck B; Tang, J; Weiss, M; Yu, Y.W. COVI White Paper. 2020. https://arxiv.org/abs/2005.08502


Schmidt, V; Sreedhar, M.N, ElAraby, M; Rish I. 2020. Towards Lifelong Self-Supervision For Unpaired Image-to-Image Translation. https://arxiv.org/abs/2004.00161

For publications by Irina Rish prior to 2019 see this page.