This webinar will provide doctoral students with a review of the graduate school requirements for planning a thesis committee, thesis proposal, and thesis final defense. In addition, doctoral students will gain a better...
This webinar will provide doctoral students with a review of the graduate school requirements for planning a thesis committee, thesis proposal, and thesis final defense. In addition, doctoral students will gain a better...
Abstract:
The rise in popularity of mobile and voice search has led to a shift in IR from document to passage retrieval for non-factoid questions. Various datasets such as MSMarco, as well as efficient retrieval...
There's never been a better time to consider a master's in computer science. The U.S. Bureau of Labor Statistics projects 15 percent job growth in computer and information research science through 2029, much faster than...
Abstract: Deep learning algorithms are notoriously data-hungry. However, in many sequential task domains, we have a limited amount of data. Thus, it is important to devise algorithms to select data samples optimally and...
Last day of classes - UNIVERSITY SUMMER 2022
ast day of classes -Session Two; Summer Term ends - CPE SUMMER 2022
Abstract:
There are significant efforts to develop better neural approaches for information retrieval problems. However, the vast majority of these studies are conducted using English-only data. In fact, trends...
Abstract: Self-supervised large language models (LMs) have become a highly-influential and foundational tool for many NLP models. For this reason, their expressivity is an important topic of study. In near-universal...
Abstract: Neural image synthesis approaches have become increasingly popular over the last years due to their ability to generate photorealistic images useful for several applications, such as digital entertainment, mixed...
Abstract: Lack of data is almost always the cause of the suboptimal performance of neural networks. Even though data scarce scenarios can be simulated for any task by assuming limited access to training data, we study two...