CIS Seminar: “Mitigating Technology Abuse in Intimate Partner Violence and Encrypted Messaging”
Computer security is traditionally about the protection of technology, whereas trust and safety efforts focus on preventing technology abuse from harming people. In this talk, I’ll explore the interplay between […]
CIS Seminar: “Edge-Weighted Online Bipartite Matching”
Online bipartite matching is one of the most fundamental problems in the online algorithms literature. Karp, Vazirani, and Vazirani (STOC 1990) gave an elegant algorithm for unweighted bipartite matching that […]
CIS Seminar: “Intrinsic images, lighting and relighting without any labeling”
I will show the results of simple experiments that suggest that very good modern depth and normal predictors are strongly sensitive to lighting – if you relight a scene in […]
CIS Seminar: “Intrinsic images, lighting and relighting without any labelling”
Intrinsic images are maps of surface properties. A classical problem is to recover an intrinsic image, typically a map of surface lightness, from an image. The topic has mostly […]
CIS Seminar: “Modeling Atoms to Address Our Climate Crisis”
Climate change is a societal and political problem whose impact could be mitigated by technology. Underlying many of its technical challenges is a surprisingly simple yet challenging problem; modeling the […]
ASSET Seminar: “Scaling Your Large Language Models on a Budget” (Atlas Wang, University of Texas at Austin)
ABSTRACT: As the sizes of Large Language Models (LLMs) continue to grow exponentially, it becomes imperative to explore novel computing paradigms that can address the dual challenge of scaling these […]
ASSET Seminar: “Large Language Models in Medicine: Opportunities and Challenges” (Mark Dredze, Johns Hopkins University)
ABSTRACT: The rapid advance of AI driven by Large Language Models (LLMs), like ChatGPT, has led to impressive results across a range of different use cases. This has included several […]
ASSET Seminar: “Enforcing Right to Explanation: Algorithmic Challenges and Opportunities” (Himabindu Lakkaraju, Harvard University)
ABSTRACT: As predictive and generative models are increasingly being deployed in various high-stakes applications in critical domains including healthcare, law, policy and finance, it becomes important to ensure that relevant […]
ASSET Seminar: “Learning to Read X-Ray: Applications to Heart Failure Monitoring” (Polina Golland, Massachusetts Institute of Technology)
ABSTRACT: We propose and demonstrate a novel approach to training image classification models based on large collections of images with limited labels. We take advantage of availability of radiology reports […]
ASSET Seminar: “Robust Machine Learning with Foundation Models” (Aditi Raghunathan, Carnegie Mellon University)
ABSTRACT: In recent years, foundation models—large pretrained models that can be adapted for a wide range of tasks—have achieved state-of-the-art performance on a variety of tasks. While the pretrained models […]