Publications

An exploratory cross-sectional study of the effects of ongoing relationships with accompanying patients on cancer care experience, self-efficacy, and psychological distress

Marie-Pascale Pomey

Monica Iliescu Nelea

Louise Normandin

Cécile Vialaron

Karine Bouchard

Marie‐Andrée Côté

Maria Alejandra Rodriguez Duarte

Djahanchah Philip Ghadiri

Israël Fortin

Danielle Charpentier

Mélanie Lavoie-Tremblay

Nicolas Fernandez

Antoine Boivin

Michel Dorval

Mado Desforges

Catherine Régis

Isabelle Ganache

Lynda Bélanger

Zeev Rosberger

Michel Alain Danino … (see 3 more)

Jean-François Pelletier

Thi Trinh Thuc Vu

Michèle de Guise

2023-04-22

BMC Cancer (published)

doi.org

SSS3D: Fast Neural Architecture Search For Efficient Three-Dimensional Semantic Segmentation

Olivier Therrien

Marihan Amein

Zhuoran Xiong

Warren Gross

Brett Meyer

We present SSS3D, a fast multi-objective NAS framework designed to find computationally efficient 3D semantic scene segmentation networks. I… (see more)t uses RandLA-Net, an off-the-shelf point-based network, as a super-network to enable weight sharing and reduce search time by 99.67% for single-stage searches. SSS3D has a complex search space composed of sampling and architectural parameters that can form 2.88 * 10^17 possible networks. To further reduce search time, SSS3D splits the complete search space and introduces a two-stage search that finds optimal subnetworks in 54% of the time required by single-stage searches.

2023-04-21

ArXiv (preprint)

doi.org

arxiv.org

The Flag and the Cross: White Christian Nationalism and the Threat to American Democracy by Philip S. Gorski and Samuel L. Perry (review)

David Scott Krueger

2023-04-21

(published)

www.semanticscholar.org

The Flag and the Cross: White Christian Nationalism and the Threat to American Democracy by Philip S. Gorski and Samuel L. Perry (review)

David Scott Krueger

2023-04-21

(published)

www.semanticscholar.org

Aspirations and Practice of ML Model Documentation: Moving the Needle with Nudging and Traceability

Avinash Bhat

Austin Coursey

Grace Hu

Sixian Li

Nadia Nahar

Shurui Zhou

Christian Kästner

Jin Guo

The documentation practice for machine-learned (ML) models often falls short of established practices for traditional software, which impede… (see more)s model accountability and inadvertently abets inappropriate or misuse of models. Recently, model cards, a proposal for model documentation, have attracted notable attention, but their impact on the actual practice is unclear. In this work, we systematically study the model documentation in the field and investigate how to encourage more responsible and accountable documentation practice. Our analysis of publicly available model cards reveals a substantial gap between the proposal and the practice. We then design a tool named DocML aiming to (1) nudge the data scientists to comply with the model cards proposal during the model development, especially the sections related to ethics, and (2) assess and manage the documentation quality. A lab study reveals the benefit of our tool towards long-term documentation quality and accountability.

2023-04-19

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (published)

doi.org

arxiv.org

Co-Writing Screenplays and Theatre Scripts with Language Models: Evaluation by Industry Professionals

Piotr Mirowski

Kory Wallace Mathewson

Jaylen Pittman

Richard Evans

2023-04-19

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (published)

doi.org