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Events for March 04, 2021
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NL Seminar-LIGHT: Training agents that can act and speak with other models and humans in a rich text adventure game world
Thu, Mar 04, 2021 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Jason Weston , Fair/NYU
Talk Title: LIGHT: Training agents that can act and speak with other models and humans in a rich text adventure game world
Abstract: LIGHT is a rich fantasy text adventure game environment featuring dialogue and actions between agents in the world, which consist of both models and humans. I will summarize work on building this research platform, including crowdsourcing and machine learning to build the rich world environment, training agents to speak and act within it, and deploying the game for lifelong learning of agents by interacting with humans. See
LIGHT Learning in Interactive Games with Humans and Text. The LIGHT project is a large scale fantasy text adventure game research platform for training agents that can both talk and act, interacting either with other models or with humans.
parl. ai and the talk! for more.
Biography: Jason Weston is a research scientist at Facebook, NY and a Visiting Research Professor at NYU. He earned his PhD in machine learning at Royal Holloway, University of London and at AT and T Research in Red Bank, NJ advisors: Alex Gammerman, Volodya Vovk and Vladimir Vapnik in 2000. From 2000 to 2001, he was a researcher at Biowulf technologies. From 2002 to 2003 he was a research scientist at the Max Planck Institute for Biological Cybernetics, Tuebingen, Germany. From 2003 to 2009 he was a research staff member at NEC Labs America, Princeton. From 2009 to 2014 he was a research scientist at Google, NY. His interests lie in statistical machine learning, with a focus on reasoning, memory, perception, interaction and communication. Jason has published over 100 papers, including best paper awards at ICML and ECML, and a Test of Time Award for his work, A Unified Architecture for Natural Language Processing: Deep Neural Networks with Multitask Learning, ICML 2008 with Ronan Collobert. He was part of the YouTube team that won a National Academy of Television Arts and Sciences Emmy Award for Technology and Engineering for Personalized Recommendation Engines for Video Discovery. He was listed as the 16th most influential machine learning scholar at AMiner and one of the top 50 authors in Computer Science in Science
Host: Jon May and Mozhdeh Gheini
More Info: https://nlg.isi.edu/nl-seminar/
Webcast: This talk will be live streamed only, it will Not Be recorded.Location: Information Science Institute (ISI) - Virtual Only
WebCast Link: This talk will be live streamed only, it will Not Be recorded.
Audiences: Everyone Is Invited
Contact: Petet Zamar
Event Link: https://nlg.isi.edu/nl-seminar/
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CS Colloquium: Abhinav Verma (University of Texas - Austin) - Neurosymbolic Reinforcement Learning
Thu, Mar 04, 2021 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Abhinav Verma, University of Texas - Austin
Talk Title: Neurosymbolic Reinforcement Learning
Series: CS Colloquium
Abstract: Recent advances in Artificial Intelligence (AI) have been driven by deep neural networks. However, neural networks have certain well-known flaws: they are difficult to interpret and verify, have high variability, and lack domain awareness. These issues create a deficiency of trust and are hence a significant impediment to the deployment of AI in safety-critical applications. In this talk, I will present work that addresses these drawbacks via neurosymbolic learning in the reinforcement learning paradigm. Neurosymbolic agents combine experience based neural learning with partial symbolic knowledge expressed via programs in a Domain Specific Language (DSL). Using a DSL provides a principled mechanism to leverage high-level abstractionsfor machine learning models, and establishes a synergistic relationship between machine learning and program synthesis.
To overcome the challenges of policy search in non-differentiable program space we introduce a meta-algorithm that is based on mirror descent, program synthesis, and imitation learning. This approach interleaves the use of synthesized symbolic programs to regularize neural learning with the imitation of gradient-based learning to improve the quality of synthesized programs. This perspective allows us to prove robust expected regret bounds and finite-sample guarantees for this algorithm. The theoretical results guaranteeing more reliable learning are accompanied by promising empirical results on complex tasks such as learning autonomous driving agents and generating interpretable programs for behavior annotation.
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Abhinav Verma is a PhD Candidate at the University of Texas at Austin, where he is advised by Swarat Chaudhuri. His research lies at the intersection of machine learning and formal methods, with a focus on building intelligent systems that are reliable, transparent, and secure. His work builds connections between the symbolic reasoning and inductive learning paradigms of artificial intelligence. He is currently supported by a JP Morgan AI Research PhD Fellowship.
Host: Mukund Raghothaman / Bistra Dilkina
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Undergraduate Advisement Drop-in HoursThu, Mar 04, 2021 @ 01:30 PM - 02:30 PM
Thomas Lord Department of Computer Science
Workshops & Infosessions
Do you have a quick question? The CS advisement team will be available for drop-in live chat advisement for declared undergraduate students in our four majors during the spring semester on Tuesdays, Wednesdays, and Thursdays from 1:30pm to 2:30pm Pacific Time. Access the live chat on our website at: https://www.cs.usc.edu/chat/
Location: Online
Audiences: Undergrad
Contact: USC Computer Science
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Career Conversations: How to Impress Employers
Thu, Mar 04, 2021 @ 04:00 PM - 04:30 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Will your skill set stand out to employers? Join our 2-part series of Career Conversations to gain an inside look at employer feedback for Viterbi students. During this session, learn practices to develop the key professionalism and communication skills employers want to see more of.
To access this workshop:
Log into Viterbi Career Gateway>> Events>>Workshops: https://shibboleth-viterbi-usc-csm.symplicity.com/sso/
For more information about Labs & Open Forums, please visit viterbicareers.usc.edu/workshops.Location: Online
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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A Virtual Chat with Professor Zeno from the Mork Family Department
Thu, Mar 04, 2021 @ 04:00 PM - 05:00 PM
Viterbi School of Engineering Masters Programs
Conferences, Lectures, & Seminars
Speaker: Wade Zeno, Mork Family Professor
Talk Title: A Virtual Chat with Professor Zeno
Abstract: Sure, they're distinguished and renowned experts in their fields, but Viterbi faculty were once students too. Learn valuable life lessons as they share their professional and personal stories! Together, VGSA and the VASE office presents the Virtual Chat with a Professor Series! These are meant to be informal conversations that you might have with a professor after class or in the hallways. Each session is open to all Viterbi graduate students. Join in to chat with Prof. Mike Gruntman!
Host: VGSA & VASE
More Info: https://usc.zoom.us/j/92173930953?pwd=K2pBUDZrQWh4NDBqdWxzSUFKT1NDQT09
Audiences: Everyone Is Invited
Contact: Juli Legat
Event Link: https://usc.zoom.us/j/92173930953?pwd=K2pBUDZrQWh4NDBqdWxzSUFKT1NDQT09
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Virtual Chat with Prof. Mike Gruntman from Department of Astronautical Engineering
Thu, Mar 04, 2021 @ 05:00 PM - 06:00 PM
Viterbi School of Engineering Masters Programs
Student Activity
Sure, they're distinguished and renowned experts in their fields, but Viterbi faculty were once students too. Learn valuable life lessons as they share their professional and personal stories! Together, VGSA and the VASE office presents the Virtual Chat with a Professor Series! These are meant to be informal conversations that you might have with a professor after class or in the hallways. Each session is open to all Viterbi graduate students. Join in to chat with Prof. Mike Gruntman!
Audiences: Everyone Is Invited
Contact: Juli Legat
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Boeing Freshman Design Challenge
Thu, Mar 04, 2021 @ 06:00 PM - 09:00 PM
Viterbi School of Engineering Career Connections
University Calendar
Challenge Details: As the world's leading aerospace company, Boeing is the world's largest manufacturer of commercial airplanes and military aircraft. To continue this dominance, Boeing needs the young minds of tomorrow to provide innovative, new perspectives. For this reason, Boeing will be putting on a design challenge for the Freshmen class of USC. In this competition, teams of three or four freshmen will have two hours to work together and design a solution to a typical, real-world engineering problem.
During this unique, resume-building experience, students will also have the opportunity to network with Boeing engineers and executives, who will be available to act as mentors and judges.
Despite being virtual, food will be provided in the form of dining gift cards for participants. Prizes are provided to top participants!
To RSVP log into Viterbi Career Gateway>> Events>> Information Sessions:
https://shibboleth-viterbi-usc-csm.symplicity.com/ssoAudiences: All Viterbi Students
Contact: RTH 218 Viterbi Career Connections
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ACM Facebook Engineers Panel
Thu, Mar 04, 2021 @ 07:00 PM - 08:00 PM
Thomas Lord Department of Computer Science
Student Activity
Facebook Engineers Panel:
Want to learn about the opportunities Facebook has for you? Join ACM on Thursday, March 4, from 7-8 PM for a tech talk hosted by us and Facebook! Engineers and recruiters will be discussing their projects and experiences working at Facebook.
Please fill out the RSVP form linked below. We will send the zoom link out to students who RSVP, so if you'd like to attend you must fill it out. Space is limited and will be filled on a first come first serve basis. This event is only open to undergraduate students. We hope to see you there!
RSVP at https://forms.gle/q9qXY9UPVUv55MYa8
Learn more at https://www.facebook.com/events/167553678371060/
Location: Online - Zoom
Audiences: Undergrad
Contact: ACM
