ICSE 2022 (series) / CAIN 2022 (series) /
CAIN 2022 Program
This is the CAIN 2022 program - see the full program for ICSE 2022 and all affiliated events.
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Mon 16 MayDisplayed time zone: Eastern Time (US & Canada) change
Mon 16 May
Displayed time zone: Eastern Time (US & Canada) change
06:00 - 06:30 | Welcome to CAINCAIN 2022 at CAIN main room Chair(s): Jan Bosch Chalmers University of Technology, Jane Cleland-Huang University of Notre Dame, Helena Holmström Olsson Malmö University, Iva Krasteva Sofia University, GATE Institute, Lucy Ellen Lwakatare University of Helsinki, Henry Muccini University of L'Aquila, Italy, Ipek Ozkaya Carnegie Mellon Software Engineering Institute, Thomas Zimmermann Microsoft Research | ||
07:30 - 07:45 | |||
09:15 - 09:30 | |||
09:30 - 11:00 | Training & LearningCAIN 2022 at CAIN main room Chair(s): Jan Bosch Chalmers University of Technology | ||
09:30 15mResearch paper | An Empirical Evaluation of Flow Based Programming in the Machine Learning Deployment ContextResearch Paper CAIN 2022 Andrei Paleyes Department of Computer Science and Technology, Univesity of Cambridge, Christian Cabrera Department of Computer Science and Technology, Univesity of Cambridge, Neil D. Lawrence Department of Computer Science and Technology, Univesity of Cambridge Pre-print Media Attached | ||
09:45 15mResearch paper | Automatic Checkpointing and Deterministic Training for Deep LearningResearch Paper CAIN 2022 Xiangzhe Xu Purdue University, Hongyu Liu Huawei Galois Lab, China, Guanhong Tao Purdue University, USA, Zhou Xuan Purdue University, Xiangyu Zhang Purdue University | ||
10:00 15mResearch paper | Influence-Driven Data Poisoning in Graph-Based Semi-Supervised ClassifiersResearch Paper CAIN 2022 Adriano Franci University of Luxembourg, Maxime Cordy University of Luxembourg, Luxembourg, Martin Gubri University of Luxembourg, Luxembourg, Mike Papadakis University of Luxembourg, Luxembourg, Yves Le Traon University of Luxembourg, Luxembourg | ||
10:15 15mIndustry talk | Engineering a Platform for Reinforcement Learning WorkloadsIndustry Talk CAIN 2022 | ||
10:30 15mResearch paper | Method Cards for Prescriptive Machine-Learning TransparencyResearch Paper CAIN 2022 David Adkins Meta AI, Bilal Alsallakh Meta AI, Adeel Cheema Meta AI, Narine Kokhlikyan Meta AI, Emily McReynolds Meta AI, Pushkar Mishra Meta AI, Chavez Procope Meta AI, Jeremy Sawruk Meta AI, Erin Wang Meta AI, Polina Zvyagina Meta AI | ||
10:45 15mOther | Discussion on Training & Learning CAIN 2022 | ||
11:00 - 11:15 | |||
11:15 - 12:15 | |||
11:15 60mKeynote | Software 2.0, Foundation Models, Data-Centric AI, and why I’m excited enough to tolerate these buzzwords CAIN 2022 | ||
Tue 17 MayDisplayed time zone: Eastern Time (US & Canada) change
Tue 17 May
Displayed time zone: Eastern Time (US & Canada) change
07:30 - 07:45 | |||
09:15 - 09:30 | |||
09:30 - 11:00 | AI SmellsCAIN 2022 at CAIN main room Chair(s): Ipek Ozkaya Carnegie Mellon Software Engineering Institute, Thomas Zimmermann Microsoft Research | ||
09:30 30mOther | Activity: Brainwriting CAIN 2022 | ||
10:00 15mResearch paper | Code Smells for Machine Learning ApplicationsResearch Paper CAIN 2022 Haiyin Zhang AI for Fintech Research, ING, Luís Cruz Deflt University of Technology, Arie van Deursen Delft University of Technology, Netherlands Pre-print | ||
10:15 15mResearch paper | Data Smells: Categories, Causes and Consequences, and Detection of Suspicious Data in AI-based SystemsResearch Paper CAIN 2022 Harald Foidl University of Innsbruck, Michael Felderer University of Innsbruck, Rudolf Ramler Software Competence Center Hagenberg Pre-print | ||
10:30 15mResearch paper | Data smells in Public DatasetsResearch Paper CAIN 2022 Arumoy Shome Delft University of Technology, Luís Cruz Deflt University of Technology, Arie van Deursen Delft University of Technology, Netherlands Pre-print | ||
10:45 15mOther | Discussion on Smells in AI CAIN 2022 | ||
11:00 - 11:15 | |||
11:15 - 12:15 | Keynote Saleema AmershiCAIN 2022 at CAIN main room Chair(s): Jane Cleland-Huang University of Notre Dame | ||
11:15 60mKeynote | Challenges in creating responsible and human-centered AI CAIN 2022 Saleema Amershi Microsoft Research | ||
12:15 - 12:30 | Closing and AwardsCAIN 2022 at CAIN main room Chair(s): Jan Bosch Chalmers University of Technology, Jane Cleland-Huang University of Notre Dame, Helena Holmström Olsson Malmö University, Iva Krasteva Sofia University, GATE Institute, Lucy Ellen Lwakatare University of Helsinki, Henry Muccini University of L'Aquila, Italy, Ipek Ozkaya Carnegie Mellon Software Engineering Institute, Thomas Zimmermann Microsoft Research | ||