Penn Engineering Events

CIS

  1. Events
  2. CIS

Events Search and Views Navigation

Event Views Navigation

Today

ASSET Seminar: “Copyright, Machine Learning Research, and the Generative-AI Supply Chain” (A. Feder Cooper, Cornell University)

Levine 307 3330 Walnut Street, Philadelphia, PA, United States

ABSTRACT: “Does generative AI infringe copyright?” is an urgent question. It is also a difficult question, for two reasons. First, “generative AI” is not just one product from one company. It is a catch-all name for a massive ecosystem of loosely related technologies. These systems behave differently and raise different legal issues. Second, copyright law […]

ASSET Seminar: “The Future of Algorithm Auditing is Sociotechnical” (Danaë Metaxa, Penn)

Levine 307 3330 Walnut Street, Philadelphia, PA, United States

ABSTRACT:  Algorithm audits are powerful tools for studying black-box systems without direct knowledge of those systems’ inner workings. While they have been effectively deployed to identify harms and biases in algorithmic content, algorithm audits’ narrow focus on technical components stop short of considering users themselves as integral and dynamic parts of the system, to be […]

CIS Seminar: “Intrinsic images, lighting and relighting without any labelling”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

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 dropped from view, likely for three reasons: training data is mostly synthetic; evaluation is somewhat uncertain; and clear applications for the resulting albedo are missing. […]

CIS Seminar: “Intrinsic images, lighting and relighting without any labeling”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

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 a reasonable way, the reported depth will change. This is intolerable. To fix this problem, we need to be able to produce many different lightings […]

CIS Seminar: “Edge-Weighted Online Bipartite Matching”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

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 achieves an optimal competitive ratio 1-1/e. Aggarwal et al. (SODA 2011) later generalized their algorithm and analysis to the vertex-weighted case. Little is known, however, […]

ASSET Seminar: “What Constitutes a Good Explanation?” (Lyle Ungar, Penn)

Levine 307 3330 Walnut Street, Philadelphia, PA, United States

ABSTRACT:  Shapley values and similar methods are widely used to explain the importance of features in model predictions. Clarity in the semantics of these feature importances is subtle, but crucial: What do these explanations actually mean? And how are they useful? We illustrate using explanations of predictions in three domains: (a) medical outcomes, (b) image […]

CIS Seminar: “Mitigating Technology Abuse in Intimate Partner Violence and Encrypted Messaging”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

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 security and tech abuse, and make the case that trust and safety represents an important frontier for computer security researchers. To do so, I'll draw […]

ASSET Seminar: “Inherent Interpretability via Language Model Guided Bottleneck Design” (Mark Yatskar, Penn)

Levine 307 3330 Walnut Street, Philadelphia, PA, United States

ABSTRACT: As deep learning systems improve, their applicability to critical domains is hampered because of a lack of transparency. Post-hoc explanations attempt to address this concern but they provide no guarantee of faithfulness to the model’s computations. Inherently interpretable models are an alternative but such models are often considered to be too simple to perform […]

CIS Seminar: “Diffusion Models in Computer Vision”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

Denoising diffusion models represent a recent emerging topic in computer vision, demonstrating impressive results in generative modeling. A diffusion model is a deep generative model that is based on two stages, a forward diffusion stage and a reverse diffusion stage. In the forward diffusion stage, the input data is gradually perturbed over several steps by […]

CIS Grace Hopper Distinguished Lecture: “AGI is Coming… Is HCI Ready?”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

We are at a transformational junction in computing, in the midst of an explosion in capabilities of foundational AI models that may soon match or exceed typical human abilities for a wide variety of cognitive tasks, a milestone often termed Artificial General Intelligence (AGI). Achieving AGI (or even closely approaching it) will transform computing, with […]