Please note: This seminar will be given online.
Ningning Xie, Research Associate
Department of Computer Science and Technology
University of Cambridge
Please note: This seminar will be given online.
Amirali Aghazadeh, Postdoctoral researcher
Department of Electrical Engineering and Computer Sciences
University of California, Berkeley
Please note: This PhD seminar will be given online.
Sangho Suh, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Edith Law
Please note: This PhD seminar will be given online.
Daniel Gabric, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jeffrey Shallit
Please note: This seminar will be given online.
Hong Zhang, Postdoctoral Scholar
Department of Electrical Engineering and Computer Sciences
University of California, Berkeley
Please note: This seminar will be given online.
Eugene Ndiaye, Tennenbaum President’s Postdoctoral Fellow
H. Milton Stewart School of Industrial and Systems Engineering
Georgia Institute of Technology
Please note: This master’s thesis presentation will be given online.
Graeme Stroud, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Anna Lubiw
Please note: This seminar will be given online.
Octavian Ganea, Postdoctoral researcher
Computer Science & Artificial Intelligence Laboratory, MIT
Please note: This PhD seminar will be given online.
Michael Abebe, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Khuzaima Daudjee
Please note: This seminar will be given online.
Xuehai Qian
Department of Electrical and Computer Engineering, University of Southern California
Please note: This seminar will be given online.
Yang Lu, Postdoctoral researcher
Department of Genome Sciences, University of Washington
Please note: This PhD seminar will be given online.
Catherine St-Pierre, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Éric Schost
Please note: This seminar will be given online.
Vishwas Bhargava
Department of Computer Science, Rutgers University
Host: Professor Rafael Oliveira
Please note: This seminar will be given online.
Emmanouil-Vasileios Vlatakis-Gkaragkounis
Department of Computer Science, Columbia University
Host: Professor Gautam Kamath
Please note: This master’s thesis presentation will be given online.
Scott Larter, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Krzysztof Czarnecki
Please note: This seminar will be given online.
Jason Altschuler, Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology
Milind Tambe
Gordon McKay Professor of Computer Science
Director of the Center for Research in Computation and Society, Harvard University
Director, AI for Social Good, Google Research India
Please note: This seminar will be given online.
Huaicheng Li, Postdoctoral Researcher
Parallel Data Lab, Carnegie Mellon University
Please note: This seminar will be given online.
Naama Ben-David, Postdoctoral researcher
VMware Research Group
Please note: This seminar will be given online.
Yue Dong
School of Computer Science, McGill University
Mila
Natural language processing (NLP) offers incredible opportunities for automating tasks that involve human languages. However, numerous studies show that instead of learning, modern systems frequently memorize artifacts and biases. Furthermore, the texts produced by such models often contain factual errors.
Please note: This PhD seminar will be given online.
Chang Ge, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ihab Ilyas
Please note: This master’s thesis presentation will be given online.
Utsav Das, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Olga Vechtomova
Please note: This seminar will be given online.
Qizhen Zhang
Department of Computer and Information Science, University of Pennsylvania
Please note: This seminar will be given online.
Shalmali Joshi, Postdoctoral Fellow
Center for Research on Computation and Society, Harvard University
Machine Learning advances have revolutionized many domains such as machine translation, complex game playing, and scientific discovery. On the other hand, ML has only enjoyed modest successes in human-centered applications. To improve the utility, reliability, and robustness of Machine Learning (ML) models in human-centered domains, we need to address several foundational challenges.
Please note: This seminar will be given online.
David Wajc, Motwani Postdoctoral Fellow in Theoretical Computer Science
Computer Science Department, Stanford University