Dotphoton at ICML 2023: a week of machine learning excellence
Last week, the world of machine learning converged for the International Conference on Machine Learning (ICML) 2023, one of the most anticipated events in the ML community. ICML brings together inspirational data scientists and ML experts, groundbreaking research, and innovative solutions to the challenges facing the industry.
Our Head of Machine Learning and AI, Luis Oala, and Senior Researcher, Marco Aversa not only presented but also ran workshops, showcasing the recent insights and research we’re doing at Dotphoton along with academic colleagues.
Luis is now working with others on official ICML '23 report. We'll share that soon. For now, we want to thank and celebrate everyone who took part.
On Sunday, Luis hosted the Data-centric Machine Learning Research (DMLR) workshop. The DMLR group accepted an impressive 72 papers, showcased 36 additional posters, and hosted seven distinguished speakers from both academia and industry. This list included luminaries like Andrew Ng of LANDING AI and DeepLearning.AI, Olga Russakovsky from Princeton University, and many others.
A significant highlight was the presentation of our recent paper on data drift control at the DiffAE and SCIS workshops. Luis and Marco showcased our latest research on addressing dataset drift, a pressing issue in ML. The “Data models for dataset drift controls with optical images” paper garnered significant attention, especially after several renowned data scientists shared it within the community. If you were at ICML, we hope you had the chance to engage in the workshops, ask questions, and share your insights.
Stay tuned for an upcoming webinar where we'll delve deeper into this paper and host a Q&A for those keen on applying its findings.
Generally, one of the standout moments of the week was the Test-of-Time award. This prestigious award celebrates the lasting impact a paper has had over the past decade. This year, it was given to Rich Zemel, Yu Wu, Kevin Swersky, Toni Pitassi, and Cynthia Dwork for their paper "Learning Fair Representations.”
In conclusion, ICML 2023 was not just an event but a testament to the relentless pursuit of knowledge and innovation in the ML community. We are incredibly proud of our team's contributions and are excited about the future collaborations and advancements this event will undoubtedly catalyze.