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Events for February 25, 2020
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CS Colloquium: Robin Jia (Stanford University) - Building Robust Natural Language Processing Systems
Tue, Feb 25, 2020 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Robin Jia, Stanford University
Talk Title: Building Robust Natural Language Processing Systems
Series: CS Colloquium
Abstract: While modern NLP systems have achieved outstanding performance on static benchmarks, they often fail catastrophically when presented with inputs from different sources or inputs that have been adversarial perturbed. This lack of robustness exposes troubling gaps in current models' understanding capabilities, and poses challenges for deployment of NLP systems in high-stakes situations. In this talk, I will demonstrate that building robust NLP systems requires reexamining all aspects of the current model building paradigm. First, I will show that adversarially constructed test data reveals vulnerabilities that are left unexposed by standard evaluation methods. Second, I will demonstrate that active learning, in which data is adaptively collected based on a model's current predictions, can significantly improve the ability of models to generalize robustly, compared to the use of static training datasets. Finally, I will show how to train NLP models to produce certificates of robustness---guarantees that for a given example and combinatorially large class of possible perturbations, no perturbation can cause a misclassification.
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Robin Jia is a sixth-year Ph.D. student at Stanford University advised by Percy Liang. His research interests lie broadly in building natural language processing systems that can generalize to unexpected test-time inputs. Robin's work has received an Outstanding Paper Award at EMNLP 2017 and a Best Short Paper Award at ACL 2018. He has been supported by an NSF Graduate Research Fellowship.
Host: Xiang Ren
Location: Olin Hall of Engineering (OHE) - 132
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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Job Offer and Salary Negotiation Workshop
Tue, Feb 25, 2020 @ 12:00 PM - 01:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Considering multiple internship/job offers? Want to negotiate your salary?
Viterbi students and alumni are in-demand, and many of you receive multiple competing offers for internships and full-time jobs. But what do you do when you have already accepted an offer and then get one from your dream company? How do you leverage your offers to negotiate a better salary or increased benefits? Attend our upcoming Job Offer & Salary Negotiation workshop to get guidance on the process.
Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: All Viterbi Students
Contact: RTH 218 Viterbi Career Connections
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Job Offer and Salary Negotiation Workshop
Tue, Feb 25, 2020 @ 12:00 PM - 01:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Considering multiple internship/job offers? Want to negotiate your salary?
Viterbi students and alumni are in-demand, and many of you receive multiple competing offers for internships and full-time jobs. But what do you do when you have already accepted an offer and then get one from your dream company? How do you leverage your offers to negotiate a better salary or increased benefits? Attend our upcoming Job Offer & Salary Negotiation workshop to get guidance on the process.
Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: All Viterbi Students
Contact: RTH 218 Viterbi Career Connections
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VIP Reflection Session
Tue, Feb 25, 2020 @ 01:00 PM - 02:00 PM
Viterbi School of Engineering Student Affairs
Receptions & Special Events
Monthly reflection sessions for students to come together and give meaning to their experiences.
Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: Undergrad
Contact: Viterbi Undergraduate Programs
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ECE Seminar
Tue, Feb 25, 2020 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Junsong Yuan, PhD, State University of New York
Talk Title: Beyond Deep Recognition: Discovering Visual Patterns in Big Visual Data
Abstract: Thanks to the success of deep learning, many computer vision tasks nowadays are formulated as regression problems. However, often times one has to rely on large amounts of annotated training data to make the high-dimensional regression successful. In this talk, we will discuss a complementary yet overlooked problem beyond deep visual recognition and regression. We will discuss why and how to discover visual patterns in images and videos that are not annotated, e.g., unsupervised and weakly-supervised visual learning and pattern discovery, and explore how to utilize them to better model, search, and interpret big visual data. Applications in visual search, object detection, action recognition, and video analytics will also be discussed.
Biography: Junsong Yuan is an Associate Professor and Director of Visual Computing Lab of CSE Department, State University of New York at Buffalo. Before that he was an Associate Professor at Nanyang Technological University (NTU), Singapore. He received his PhD from Northwestern University and M.Eng. from National University of Singapore. He is currently Associate Editor of IEEE Trans. on Image Processing (T-IP) and Machine Vision and Applications (MVA), and Senior Area Editor of Journal of Visual Communication and Image Representation (JVCI), and served as program co-chair for ICME 2018 and area chair for CVPR/ACM MM/WACV/ACCV/ICIP/ICPR etc. He received Best Paper Award from IEEE Trans. on Multimedia, Nanyang Assistant Professorship from NTU, and Outstanding EECS Ph.D. Thesis award from Northwestern University. He is a Fellow of International Association of Pattern Recognition (IAPR).
Host: Dr. C.-C. Jay Kuo
More Information: Yunsong Yuan Seminar 2.25.20.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Gloria Halfacre
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ISE 651 - Epstein Seminar
Tue, Feb 25, 2020 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Daniel Kuhn, Chair, Risk Analytics and Optimization - The Ecole Polytechnique Fédérale de Lausanne (EPFL)
Talk Title: Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
Host: Dr. Phebe Vayanos
More Information: February 25, 2020.pdf
Location: Ethel Percy Andrus Gerontology Center (GER) - 206
Audiences: Everyone Is Invited
Contact: Grace Owh
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Trojan Talk - LegalZoom
Tue, Feb 25, 2020 @ 06:00 PM - 08:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Presentation about LegalZoom and the Data Analytics function.
LegalZoom currently has job opportunities available within the Data Analytics' team, so we would like to share information as to our organization, culture, and how the Analytics function plays a key role in understanding our customers with insights and assist in key business decisions.
Location: Seeley G. Mudd Building (SGM) - 101
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
