CAIN 2023
Mon 15 - Sat 20 May 2023
Melbourne, Australia
co-located with
ICSE 2023
Toggle navigation
Attending
Venue: Melbourne Convention Exhibition Centre | MCEC
CAIN 2023 Keynote Speaker : Dr. Ken Power
CAIN 2023 Keynote Speaker : Dr. Foutse Khomh
CAIN 2023 Keynote Speaker : Dr. Aurelie Jacquet
ICSE 2023
Keynotes
Melbourne
Victoria
Australia
Code of Conduct
Diversity and Inclusion Plan
Main Conference In-Person Presenter Instructions
Main Conference Virtual Presenter Instructions
Workshop and Co-Located Event Instructions
Session Chair Instructions
Venue Floor Map
Accommodation
Registration
Visa Letter of Invitation
Social Events
Recruitment Opportunities at ICSE 2023
IEEE Computer Society Open Conference Statement
Travel Support
Childcare Support
Submission Format
Program
CAIN Program
Your Program
Mon 15 May
Tue 16 May
Wed 17 May
Thu 18 May
Fri 19 May
Sat 20 May
Tracks
CAIN 2023
Dinner
Papers
Industrial Talks
Posters
Organization
CAIN 2023 Committees
Organizing Committee
Program Committee
Steering Committee
Track Committees
Papers
Industrial Talks
Posters
Contributors
People Index
Search
Series
Series
CAIN 2025
CAIN 2024
CAIN 2023
CAIN 2022
Sign in
Sign up
ICSE 2023
(
series
) /
CAIN 2023
(
series
) /
Maxime Cordy
ICSE 2023 profile
conf.research.org general profile
APSEC 2023 profile
ASE 2021 profile
ASE 2023 profile
ASE 2024 profile
ECOOP and ISSTA 2021 profile
ESEC/FSE 2020 profile
ESEC/FSE 2021 profile
ESEC/FSE 2022 profile
ESEC/FSE 2023 profile
ETAPS 2019 profile
FSE 2025 profile
ICSE 2019 profile
ICSE 2020 profile
ICSE 2021 profile
ICSE 2022 profile
ICSE 2024 profile
ICSE 2025 profile
ICSME 2023 profile
ICST 2020 profile
ICST 2021 profile
ICST 2022 profile
ICST 2023 profile
ICST 2024 profile
ISSTA 2019 profile
ISSTA 2020 profile
ISSTA 2022 profile
PLDI 2021 profile
PLDI 2022 profile
‹Programming› 2020 profile
Registered user since Thu 31 Jan 2019
Name:
Maxime Cordy
Affiliation:
University of Luxembourg, Luxembourg
Contributions
2023
ICSE
Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation
CodeS: Towards Code Model Generalization Under Distribution Shift
Learning from What We Know: How to Perform Vulnerability Prediction using Noisy Historical Data
CAIN
Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment
Show activities from other conferences
Share
ICSE 2023-profile
View general profile
x
Sun 8 Dec 05:24