no code implementations • 11 Mar 2022 • Yang Liu, Juan Wang, Zhengxing Chen, Ian Fox, Imani Mufti, Jason Sukumaran, Baokun He, Xiling Sun, Feng Liang
Scheduled batch jobs have been widely used on the asynchronous computing platforms to execute various enterprise applications, including the scheduled notifications and the candidate pre-computation for the modern recommender systems.
no code implementations • 18 Sep 2020 • Ian Fox, Joyce Lee, Rodica Pop-Busui, Jenna Wiens
We highlight the flexibility of RL approaches, demonstrating how they can adapt to new individuals with little additional data.
no code implementations • 25 Sep 2019 • Ian Fox, Harry Rubin-Falcone, Jenna Wiens
We explore a novel self-supervision framework for time-series data, in which multiple auxiliary tasks (e. g., forecasting) are included to improve overall performance on a sequence-level target task without additional training data.
no code implementations • 25 Sep 2019 • Ian Fox, Joyce Lee, Rodica Busui, Jenna Wiens
We highlight the flexibility of RL approaches, demonstrating how they can adapt to new individuals with little additional data.
no code implementations • 7 Aug 2019 • Ian Fox, Jenna Wiens
Advocacy learning relies on a framework consisting of two connected networks: 1) $N$ Advocates (one for each class), each of which outputs an argument in the form of an attention map over the input, and 2) a Judge, which predicts the class label based on these arguments.
no code implementations • 27 Sep 2018 • Ian Fox, Jenna Wiens
In contrast to a standard network, in which all subnetworks are trained to jointly cooperate, we train the Advocates to competitively argue for their class, even when the input belongs to a different class.
1 code implementation • 14 Jun 2018 • Ian Fox, Lynn Ang, Mamta Jaiswal, Rodica Pop-Busui, Jenna Wiens
Overall, the results suggest the efficacy of our proposed approach in predicting blood glucose level and multi-step forecasting more generally.
1 code implementation • 8 Mar 2018 • Jiaxuan Wang, Ian Fox, Jonathan Skaza, Nick Linck, Satinder Singh, Jenna Wiens
During the 2017 NBA playoffs, Celtics coach Brad Stevens was faced with a difficult decision when defending against the Cavaliers: "Do you double and risk giving up easy shots, or stay at home and do the best you can?"
no code implementations • 6 Mar 2017 • Ian Fox, Lynn Ang, Mamta Jaiswal, Rodica Pop-Busui, Jenna Wiens
Applied to both simulated and real physiological data, our proposed approach improves upon existing motif methods in terms of the discriminative utility of the discovered motifs.