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Timezone: Pacific/Honolulu
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Registration Desk
8:00 AM - 7:00 PM
Panel

ICML Education Outreach Panel

Andreas Krause · Barbara Engelhardt · Emma Brunskill · Kyunghyun Cho
8:30 AM - 9:30 AM

ICML’s Education Outreach Program hosts computer science undergraduate students from the University of Hawaii. A panel headed by the ICML General Chair and Program Chairs will begin with introductions and a Q & A session. Here, the esteemed panelists will introduce students to the field of machine learning, the current state of artificial intelligence, and future directions of this research. Through these conversations the panelists will provide information on educational pathways that will help the students achieve their career goals in computer science, machine learning, and AI.

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Affinity Workshop

LatinX in AI (LXAI) Workshop

Laura Montoya · Jose Gallego-Posada · Pablo Rivas · Vinicius Carida · Mateo Espinosa Zarlenga · Carlos Miranda · Andres Marquez · Ramesh Doddaiah · David Alvarez-Melis · Ivan Dario Arraut Guerrero · Mateo Guaman Castro · Ana Maria Quintero-Ossa · Fabian Latorre · Julio Hurtado · Jaime David Acevedo-Viloria · Miguel Felipe Arevalo-Castiblanco
8:45 AM - 5:00 PM

The LatinX in AI research workshop is a one-day event with invited speakers, oralpresentations, and posters. The event brings together faculty, graduate students, research scientists, and engineers for an opportunity to connect and exchange ideas. There will be a panel discussion and a mentoring session to discuss current research trends and career choices in artificial intelligence and machine learning, highlighting the unique challenges of LatinX identifying researchers. The workshop aims to create a platform for the work of Latinx researchers and we invite everyone to attend.

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Tutorial
9:30 AM - 12:00 PM
Tutorial
9:30 AM - 12:00 PM
Tutorial

Self-Supervised Learning in Vision: from Research Advances to Best Practices

Xinlei Chen · Ishan Misra · Randall Balestriero · Mathilde Caron · Christoph Feichtenhofer · Mark Ibrahim
1:30 PM - 3:30 PM
Tutorial

How to DP-fy ML: A Practical Tutorial to Machine Learning with Differential Privacy

Sergei Vassilvitskii · Natalia Ponomareva · Zheng Xu
1:30 PM - 3:30 PM
Tutorial
4:00 PM - 6:00 PM
Tutorial

Responsible AI for Generative AI in Practice: Lessons Learned and Open Challenges

Krishnaram Kenthapadi · Hima Lakkaraju · Nazneen Rajani
4:00 PM - 6:00 PM
Tutorial
4:00 PM - 6:00 PM
Reception
6:15 PM - 8:00 PM
Reception