no code implementations • 2 May 2022 • Eric Balkanski, Tingting Ou, Clifford Stein, Hao-Ting Wei
In the context of scheduling, very recent work has leveraged machine-learned predictions to design algorithms that achieve improved approximation ratios in settings where the processing times of the jobs are initially unknown.
1 code implementation • 30 Nov 2020 • Parmida Davarmanesh, Kuanhao Jiang, Tingting Ou, Artem Vysogorets, Stanislav Ivashkevich, Max Kiehn, Shantanu H. Joshi, Nicholas Malaya
Based on a sample of representative screen corruption examples, the model was able to identify 10 of the most commonly occurring screen artifacts with reasonable accuracy.