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Workshop
2nd ICML Workshop on Human in the Loop Learning (HILL)
Shanghang Zhang · Xin Wang · Fisher Yu · Jiajun Wu · Trevor Darrell

Sat Jul 18 11:00 AM -- 03:00 AM (PDT) @ None
Event URL: https://www.icml-hill.com/ »

Recent years have witnessed the rising need for learning agents that can interact with humans. Such agents usually involve applications in computer vision, natural language processing, human computer interaction, and robotics. Creating and running such agents call for interdisciplinary research of artificial intelligence, machine learning, and software engineering design, which we abstract as Human in the Loop Learning (HILL). HILL is a modern machine learning paradigm of significant practical and theoretical interest. For HILL, models and humans engage in a two-way dialog to facilitate more accurate and interpretable learning. The workshop aims to bring together researchers and practitioners working on the broad areas of human in the loop learning, ranging from the interactive/active learning algorithm designs for real-world decision making systems (e.g., autonomous driving vehicles, robotic systems, etc.), models with strong explainability, as well as interactive system designs (e.g., data visualization, annotation systems, etc.). In particular, we aim to elicit new connections among these diverse fields, identifying theory, tools and design principles tailored to practical machine learning workflows. The target audience for the workshop includes people who are interested in using machines to solve problems by having a human be an integral part of the learning process. In this year’s HILL workshop, we emphasize on the interactive/active learning algorithms for real-world decision making systems as well as learning algorithms with strong explainability. We continue the previous effort to provide a platform for researchers to discuss approaches that bridge the gap between humans and machines and get the best of both worlds. We believe the theme of the workshop will be interesting to ICML attendees, especially those who are interested in interdisciplinary study.

Sat 11:00 a.m. - 11:30 a.m. [iCal]
Opening Remarks (Talk)
Shanghang Zhang
Sat 11:30 a.m. - 12:00 p.m. [iCal]

Pre-recorded talk video is available at: https://slideslive.com/38930827/invited-talk-1

Sat 12:00 p.m. - 12:10 p.m. [iCal]
Invited Talk 1-QA (Discussion Panel)
Sat 12:10 p.m. - 12:40 p.m. [iCal]

Pre-recorded talk video is available at: https://slideslive.com/38930828/predicting-and-understanding-human-decisions

Thomas Griffiths
Sat 12:40 p.m. - 12:50 p.m. [iCal]
Invited Talk 2-QA (Discussion Panel)
Sat 12:50 p.m. - 1:20 p.m. [iCal]
Invited Talk 3: Prof. Christian Lebiere from Carnegie Mellon University (Talk)
Christian Lebiere
Sat 1:20 p.m. - 1:30 p.m. [iCal]
Invited Talk 3-QA (Discussion Panel)
Sat 1:30 p.m. - 2:10 p.m. [iCal]

Zoom meeting links for the poster sessions can be found in the shared Google Doc:

https://docs.google.com/spreadsheets/d/1gegBSjv8Sf766Mzh01yczfjf4ExUl4-4X8wUa4mlGxQ/edit?usp=sharing

or

https://nqfnr2ysmo.feishu.cn/sheets/shtcnXo7d0lGb2NCYBENdzsN8gg (Same content with the google doc)

If there are Zoom meetings you cannot access, please comment on the google doc beside these meetings' links

Sat 2:10 p.m. - 2:40 p.m. [iCal]

Pre-recorded talk video is available at:

https://slideslive.com/38930830/wandering-within-a-world-online-contextualized-fewshot-learning

Richard Zemel
Sat 2:40 p.m. - 2:50 p.m. [iCal]
Invited Talk 4-QA (Discussion Panel)
Sat 2:50 p.m. - 3:20 p.m. [iCal]

Pre-recorded talk video is available at:

https://slideslive.com/38930831/explainable-artificial-intelligence-via-representer-points-infidelities

Sat 3:20 p.m. - 3:30 p.m. [iCal]
Invited Talk 5-QA (Discussion Panel)
Sat 3:30 p.m. - 4:00 p.m. [iCal]

Pre-recorded talk video is available at:

https://slideslive.com/38930832/human-in-the-loop-for-selfdriving

Sat 4:00 p.m. - 4:10 p.m. [iCal]
Invited Talk 6-QA (Discussion Panel)
Sat 4:10 p.m. - 4:40 p.m. [iCal]

Pre-recorded talk video is available at:

https://slideslive.com/38930935/invited-talkkalesha

Kalesha Bullard
Sat 4:40 p.m. - 4:50 p.m. [iCal]
Invited Talk-Kalesha-QA (Discussion Panel)
Sat 4:50 p.m. - 5:20 p.m. [iCal]

Pre-recorded talk video is available at:

https://slideslive.com/38930833/humans-in-the-reward-loop

Anca Dragan
Sat 5:20 p.m. - 5:30 p.m. [iCal]
Invited Talk 7-QA (Discussion Panel)
Sat 5:30 p.m. - 6:10 p.m. [iCal]

Zoom meeting links for the poster sessions can be found in the shared Google Doc:

https://docs.google.com/spreadsheets/d/1gegBSjv8Sf766Mzh01yczfjf4ExUl4-4X8wUa4mlGxQ/edit?usp=sharing

or

https://nqfnr2ysmo.feishu.cn/sheets/shtcnXo7d0lGb2NCYBENdzsN8gg (Same content with the google doc)

If there are Zoom meetings you cannot access, please comment on the google doc beside these meetings' links

Sat 6:10 p.m. - 6:40 p.m. [iCal]

Pre-recorded talk video is available at:

https://slideslive.com/38930835/how-should-we-train-our-robots

Sergey Levine
Sat 6:40 p.m. - 6:50 p.m. [iCal]
Invited Talk 9-QA (Discussion Panel)
Sat 6:50 p.m. - 7:20 p.m. [iCal]

Pre-recorded talk video is available at:

https://slideslive.com/38930836/heterogenous-network-representation-across-cyberphysicalhuman-domains

wenwu zhu
Sat 7:20 p.m. - 7:30 p.m. [iCal]
Invited Talk 10-QA (Discussion Panel)
Sat 7:30 p.m. - 8:10 p.m. [iCal]
Invited Talk 11: Prof. Chelsea Finn from Stanford University (Talk)
Chelsea Finn
Sat 8:10 p.m. - 8:40 p.m. [iCal]

Zoom meeting links for the poster sessions can be found in the shared Google Doc:

https://docs.google.com/spreadsheets/d/1gegBSjv8Sf766Mzh01yczfjf4ExUl4-4X8wUa4mlGxQ/edit?usp=sharing

or

https://nqfnr2ysmo.feishu.cn/sheets/shtcnXo7d0lGb2NCYBENdzsN8gg (Same content with the google doc)

If there are Zoom meetings you cannot access, please comment on the google doc beside these meetings' links

Sat 8:40 p.m. - 9:00 p.m. [iCal]
Closing Remarks (Discussion Panel)
Shanghang Zhang, Fisher Yu

Author Information

Shanghang Zhang (UC Berkeley)
Xin Wang
Fisher Yu (University of California, Berkeley)
Jiajun Wu (Stanford University)

Jiajun Wu is a Visiting Faculty Researcher at Google Research, New York City. In July 2020, he will join Stanford University as an Assistant Professor of Computer Science. He studies machine perception, reasoning, and its interaction with the physical world, drawing inspiration from human cognition.

Prof. Darrell (University of California at Berkeley)

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