1 code implementation • 5 Nov 2023 • Smita Nannaware, Erfan Al-Hossami, Razvan Bunescu
A restaurant dinner may become a memorable experience due to an unexpected aspect enjoyed by the customer, such as an origami-making station in the waiting area.
1 code implementation • 4 Oct 2023 • Erfan Al-Hossami, Razvan Bunescu, Justin Smith, Ryan Teehan
When employing the Socratic method of teaching, instructors guide students toward solving a problem on their own rather than providing the solution directly.
1 code implementation • 11 Aug 2023 • Tonmoy Hasan, Razvan Bunescu
One approach to mitigate this undesired behavior is to recommend items with high potential for serendipity, namely surprising items that are likely to be highly rated.
no code implementations • 17 Apr 2023 • Quintin Fettes, Avinash Karanth, Razvan Bunescu, Brandon Beckwith, Sreenivas Subramoney
Many cloud applications are migrated from the monolithic model to a microservices framework in which hundreds of loosely-coupled microservices run concurrently, with significant benefits in terms of scalability, rapid development, modularity, and isolation.
1 code implementation • 6 Mar 2021 • Mike Chen, Razvan Bunescu
We introduce the task of changing the narrative point of view, where characters are assigned a narrative perspective that is different from the one originally used by the writer.
no code implementations • 6 Mar 2021 • Jeremy Beauchamp, Razvan Bunescu, Cindy Marling, Zhongen Li, Chang Liu
In this work, we invert the "what-if" scenario and introduce a similar architecture based on chaining two LSTMs that can be trained to make either insulin or carbohydrate recommendations aimed at reaching a desired BG level in the future.
no code implementations • 5 Nov 2020 • Kaiyu Shen, Razvan Bunescu, Sarah E. Wyatt
In this paper, we introduce a rich set of features and use them in conjunction with semisupervised learning approaches in order to expand an initial set of seed genes to a larger cluster of functionally related genes.
no code implementations • 5 Nov 2020 • Patrick Gray, Razvan Bunescu
We address this continuum by defining voice separation as the task of decomposing music into streams that exhibit both a high degree of external perceptual separation from the other streams and a high degree of internal perceptual consistency.
no code implementations • 13 Sep 2019 • Xianlong Zeng, Soheil Moosavinasab, En-Ju D Lin, Simon Lin, Razvan Bunescu, Chang Liu
Efficient representation of patients is very important in the healthcare domain and can help with many tasks such as medical risk prediction.
no code implementations • 7 Jun 2019 • Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Tong Yu, Ryan Rossi, Razvan Bunescu
In this work, we investigate the problem of figure captioning where the goal is to automatically generate a natural language description of the figure.
no code implementations • NAACL 2019 • Charles Chen, Razvan Bunescu
We describe a new semantic parsing setting that allows users to query the system using both natural language questions and actions within a graphical user interface.
1 code implementation • 1 May 2019 • Charles Chen, Razvan Bunescu
We describe a new semantic parsing setting that allows users to query the system using both natural language questions and actions within a graphical user interface.
1 code implementation • 22 Oct 2018 • Kristen Masada, Razvan Bunescu
We present a new approach to harmonic analysis that is trained to segment music into a sequence of chord spans tagged with chord labels.
1 code implementation • 22 Sep 2018 • Reza Katebi, Yadi Zhou, Ryan Chornock, Razvan Bunescu
In this work, we studied the performance of Capsule Network, a recently introduced neural network architecture that is rotationally invariant and spatially aware, on the task of galaxy morphology classification.
1 code implementation • 11 Dec 2017 • Alexander Bagnall, Razvan Bunescu, Gordon Stewart
We propose a new ensemble method for detecting and classifying adversarial examples generated by state-of-the-art attacks, including DeepFool and C&W.
no code implementations • IJCNLP 2017 • Charles Chen, Razvan Bunescu
The automation of tasks in community question answering (cQA) is dominated by machine learning approaches, whose performance is often limited by the number of training examples.