1 code implementation • 6 Mar 2024 • Abhishek Anand, Negar Mokhberian, Prathyusha Naresh Kumar, Anweasha Saha, Zihao He, Ashwin Rao, Fred Morstatter, Kristina Lerman
Researchers have raised awareness about the harms of aggregating labels especially in subjective tasks that naturally contain disagreements among human annotators.
no code implementations • 26 Jun 2023 • Alok Anand, Ivan Khokhlov, Abhishek Anand
With the goal of contributing to the betterment of the field of neuromorphic computer architecture, designs for both a binary-to-spike encoder, as well as a Gamma cycle controller, are presented and evaluated for optimal design parameters, with overall system gain and performance.
no code implementations • 13 Aug 2019 • Alexander Zlokapa, Abhishek Anand, Jean-Roch Vlimant, Javier M. Duarte, Joshua Job, Daniel Lidar, Maria Spiropulu
At the High Luminosity Large Hadron Collider (HL-LHC), traditional track reconstruction techniques that are critical for analysis are expected to face challenges due to scaling with track density.
no code implementations • NeurIPS 2011 • Hema S. Koppula, Abhishek Anand, Thorsten Joachims, Ashutosh Saxena
In our experiments over a total of 52 3D scenes of homes and offices (composed from about 550 views, having 2495 segments labeled with 27 object classes), we get a performance of 84. 06% in labeling 17 object classes for offices, and 73. 38% in labeling 17 object classes for home scenes.