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Timezone: Pacific/Honolulu

Registration Desk: Registration Mon 24 Jul 08:00 a.m.  


ICML Education Outreach Panel Mon 24 Jul 08:30 a.m.  

Andreas Krause · Barbara Engelhardt · Emma Brunskill · Kyunghyun Cho

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.


Affinity Workshop: LatinX in AI (LXAI) Workshop Mon 24 Jul 08:45 a.m.  

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

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.


Tutorial: Dmitry Ustalov · Nathan Lambert

Reinforcement Learning from Human Feedback: A Tutorial *

Nathan Lambert

 

Nathan Lambert is a Research Scientist at HuggingFace. He received his PhD from the University of California, Berkeley working at the intersection of machine learning and robotics. He was advised by Professor Kristofer Pister in the Berkeley Autonomous Microsystems Lab and Roberto Calandra at Meta AI Research. He was lucky to intern at Facebook AI and DeepMind during his Ph.D. Nathan was was awarded the UC Berkeley EECS Demetri Angelakos Memorial Achievement Award for Altruism for his efforts to better community norms.






Tutorial: Charlotte Bunne · marco cuturi

Optimal Transport in Learning, Control, and Dynamical Systems

Marco is a researcher in machine learning at Apple, working since Jan. 2022 in the Machine Learning Research team led by Samy Bengio. Marco has also been affiliated with the ENSAE / IP Paris school since 2016, working there part-time from 2018. Marco also worked at Google Brain (2018~2022), Kyoto University (2010~2016), Princeton University (2009~2010), the financial industry (2007~2008) and the Institute of Statistical Mathematics (Tokyo, 2006~2007). Marco received his Ph.D. in 2005 from Ecole des Mines de Paris. Marco's research interests cover differentiable optimization, time series, optimal transport theory and its application to ML.



Tutorial: Giovanni Da San Martino · Preslav Nakov

Disinformation, Fake News and Computational Propaganda: Challenges and Opportunities for Machine Learning Research

Preslav Nakov

 

Dr. Preslav Nakov is Professor and Department Chair at the Natural Language Processing department of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). His research interests include computational linguistics and natural language processing, large language models, hallucinations, fact-checking, disinformation, propaganda, fake news, media bias, and machine-generated text detection. He is part of the core team at MBZUAI's Institute for Foundation Models that developed Jais, the world's best open-source Arabic-centric LLM, Nanda, the world's best Hindi model, and LLM360, the first truly open LLM. Preslav Nakov received a PhD degree in Computer Science from the University of California at Berkeley (in 2007, supported by a Fulbright scholarship and a UC Berkeley graduate fellowship), and a diploma (BSc+MSc) from the Sofia University. He was a Principal Scientist at the Qatar Computing Research Institute, HBKU (Principal Scientist 2019-2022, Senior Scientist 2013-2018, Scientist 2011-2013), Research Fellow at the National University of Singapore (2008-2011), honorary lecturer in the Sofia University (2008, 2014-present), and researcher at the Bulgarian Academy of Sciences (2008). Preslav Nakov authored a Morgan & Claypool book on Semantic Relations between Nominals (2nd edition in 2021) and two books on computer algorithms. He published 300+ research papers in top-tier conferences and journals. He received a best paper award at ACM WebSci 2022 for work on propaganda and coordinated community detection, a best paper award at CIKM 2020 for work on fake news detection in social media, a best resource paper at EACL 2024 for work on detecting machine-generated content, a best demo paper award (honorable mention) at ACL 2020 and a best task paper award (honorable mention) at SemEval 2020, both for work on detecting propaganda techniques in text, as well as a Young Researcher Award at RANLP’2011. He was also the first to receive the Bulgarian President's John Atanasoff award, named after the inventor of the first automatic electronic digital computer. Preslav Nakov is Chair of the European Chapter of the Association for Computational Linguistics (EACL). He is also Secretary of SIGSLAV, the ACL SIG on Slavic Natural Language Processing, and previously he was President of ACL SIGLEX, the Special Interest Group (SIG) on the Lexicon of ACL. He is also a Secretary of the Truth and Trust Online board of trustees. He is an Action Editor for the Computational Linguistics (CL) journal and for the Transactions of the Association for Computational Linguistics (TACL) journal, an Associate Editor for ACM Transactions on Information Systems (TOIS) journal, for the IEEE Transactions on Audio, Speech and Language Processing (TASLP) journal, for the IEEE Transaction on Affective Computing journal (TAFFC), for the Frontiers in Artificial Intelligence journal (sections: 1. Language and Computation; 2. Natural Language Processing), and for the AI Communications (AIC) journal, a Member of the Editorial Board of Computer Speech and Language (CSL) and of the Journal of Natural Language Engineering (NLE), and an Editorial Board member of the Language Science Press Book Series on Phraseology and Multiword Expressions. Preslav Nakov served on the program committees of the major conferences in Computational Linguistics and Artificial Intelligence. He was a program committee (PC) chair of ACL-2022 and of TTO-2020. He is/was also a senior area chair for ACL-2024, EMNLP-2023, IJCNLP-AACL-2023, COLING-2022, AACL-IJCNLP-2022, NAACL-2021, and ACL-2020, and an area chair for AAAI-2023, EACL-2023, AAAI-2022, CoNLL-2022, ACL-2021, EMNLP-2021, AAAI-2021, ACL-2019, EMNLP-2019, NAACL-2019, NAACL-2018, ACL-2017, EMNLP-2016, and *SEM-2013. He was further workshops chair of WWW’2022 and COLING-2020, a tutorial chair of ACL-2019, a shared task chair of IJCNLP-2017, and workshops chair of SemEval 2014-2016. His research was featured in 100+ news outlets, including MIT Technology Review, CACM Research Highlights, Forbes, Reuters, CNN, Boston Globe, Science Daily, Popular Science, Fast Company, The Register, WIRED, Engadget, etc.



Tutorial: Xinlei Chen · Ishan Misra · Randall Balestriero · Mathilde Caron · Christoph Feichtenhofer · Mark Ibrahim

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




Tutorial: Sergei Vassilvitskii · Natalia Ponomareva · Zheng Xu

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







Tutorial: Krishnaram Kenthapadi · Hima Lakkaraju · Nazneen Rajani

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

Nazneen Rajani

 

Nazneen is a Research Lead at HuggingFace, a startup with a mission to democratize ML, leading the LLMs trained using RLHF direction. Before HF, she worked at Salesforce Research with Richard Socher and led a team of researchers focused on building robust natural language generation systems based on LLMs. Her expertise lies in training and evaluating LLMs, focusing on interpretability, robustness, factuality, and commonsense reasoning. She completed her Ph.D. in CS at UT-Austin. Nazneen has over 50 papers published at ACL, EMNLP, NAACL, NeurIPs, and ICLR and has her research covered by Quanta magazine, VentureBeat, SiliconAngle, ZDNet, and Datanami. More details about her work can be found here https://www.nazneenrajani.com/






Welcome Reception Mon 24 Jul 06:15 p.m.  


Reception: EXPO Attendee Raffle Prize Give Away Mon 24 Jul 06:30 p.m.