From f519a3e360825e54685c62e321440c0f9c24d39d Mon Sep 17 00:00:00 2001 From: Julia Stoyanovich Date: Sun, 10 Nov 2024 14:28:27 -0500 Subject: [PATCH] new events --- _posts/2024-10-22-talk_mykola_pechenizkiy.md | 2 +- _posts/2024-10-30-talk_steven_whang.md | 28 +++++++++++++++++++ assets/img/events/Mykola-Pechenizkiy.jpg | Bin 12646 -> 24597 bytes assets/img/events/Steven-Whang.jpg | Bin 373521 -> 57900 bytes assets/img/events/Steven-seminar.jpg | Bin 0 -> 11780 bytes assets/img/events/mykola_wide.png | Bin 418255 -> 0 bytes 6 files changed, 29 insertions(+), 1 deletion(-) create mode 100644 _posts/2024-10-30-talk_steven_whang.md create mode 100644 assets/img/events/Steven-seminar.jpg delete mode 100644 assets/img/events/mykola_wide.png diff --git a/_posts/2024-10-22-talk_mykola_pechenizkiy.md b/_posts/2024-10-22-talk_mykola_pechenizkiy.md index ecc60bd3..2808ca46 100644 --- a/_posts/2024-10-22-talk_mykola_pechenizkiy.md +++ b/_posts/2024-10-22-talk_mykola_pechenizkiy.md @@ -6,7 +6,7 @@ description: R/AI Seminar Series tags: categories: seminar event: true -preview: /assets/img/events/mykola_wide.png +preview: ---
diff --git a/_posts/2024-10-30-talk_steven_whang.md b/_posts/2024-10-30-talk_steven_whang.md new file mode 100644 index 00000000..5faae4c7 --- /dev/null +++ b/_posts/2024-10-30-talk_steven_whang.md @@ -0,0 +1,28 @@ +--- +layout: post +title: R/AI Seminar Series – Steven Euijong Whang +date: 2024-10-30 12:00:00 +description: R/AI Seminar Series +tags: +categories: seminar +event: true +preview: /assets/img/events/Steven-seminar.jpg +--- + +
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+ {% include figure.html path="/assets/img/events/Steven-Whang.jpg" class="img-fluid rounded z-depth-1" %} +
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+
+ +Professor Steven Euijong Whang visited NYU R/AI on October 30, 2024, and gave a talk on his recent work. + +#### **Recent Advances in Data-centric Responsible AI and the NYU-KAIST Collaboration** + +**Abstract:** Data-centric Responsible AI is becoming critical as AI is widely used in our everyday lives. In addition to improving a model’s accuracy, it is important to improve other aspects including fairness, robustness, privacy, explainability, value alignment, and more. These objectives not only need to be satisfied during model training, but in all steps of machine learning starting from the data. In this seminar, I will talk about three recent works from our lab towards this goal: (1) Falcon: fair active learning for data labeling (VLDB’24), (2) RC-Mixup: robust data augmentation for regression tasks (KDD’24), and (3) ERBench: an LLM hallucination benchmark using relational databases (NeurIPS’24 Spotlight). I will also introduce our recent Global AI Frontier Lab collaboration with NYU under the project titled “AI Guardians: Development of Robust, Controllable, and Unbiased Trustworthy AI Technology”. + +**Speaker's bio:** Steven Euijong Whang is an associate professor with tenure at KAIST EE and AI and leads the Data Intelligence Lab. His research interests include Responsible AI and Data-centric AI. He is an Associate Editor of VLDB 2025, IEEE TKDE (2023-25), and IEEE Data Eng. Bulletin (2023-24), and an Area Chair of ICLR 2025. Previously he was a Research Scientist at Google Research and co-developed the data infrastructure of the TensorFlow Extended (TFX) machine learning platform. Steven received his Ph.D. in computer science in 2012 from Stanford University. He was a Kwon Oh-Hyun Endowed Chair Professor (2020-2023) and received a Google AI Focused Research Award (2018, the first in Asia). + +
+
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