2k citations
- Mitchell InstituteUS511 papers
- The Ohio State UniversityUS430 papers
- University of California, DavisUS411 papers
- Fermi National Accelerator LaboratoryUS400 papers
- University of California, Los AngelesUS385 papers
- Massachusetts Institute of TechnologyUS376 papers
- Institute for High Energy PhysicsES369 papers
- Purdue University West LafayetteUS368 papers
- Wayne State UniversityUS360 papers
- Joint Institute for Nuclear ResearchRU349 papers
- Centre National de la Recherche ScientifiqueFR348 papers
- Johns Hopkins UniversityUS344 papers
183 papers · 1 filter
A Hierarchical Self-Attentive Model for Recommending User-Generated Item Lists
Yun He, Jianling Wang, Wei Niu +1
User-generated item lists are a popular feature of many different platforms. Examples include lists of books on Goodreads, playlists on Spotify and YouTube, collections of images o…
Predictive Scheduling for Virtual Reality
I-Hong Hou, Narges Zarnaghi Naghsh, Sibendu Paul +2
A significant challenge for future virtual reality (VR) applications is to deliver high quality-of-experience, both in terms of video quality and responsiveness, over wireless netw…
Beamforming Learning for mmWave Communication: Theory and Experimental Validation
ohaned Chraiti, Dmitry Chizhik, Jinfeng Du +3
To establish reliable and long-range millimeter-wave (mmWave) communication, beamforming is deemed to be a promising solution. Although beamforming can be done in the digital and a…
Practical Solutions for Machine Learning Safety in Autonomous Vehicles
Sina Mohseni, Mandar Pitale, Vasu Singh +1
Autonomous vehicles rely on machine learning to solve challenging tasks in perception and motion planning. However, automotive software safety standards have not fully evolved to a…
OGLE-2013-BLG-0911Lb: A Secondary on the Brown-Dwarf Planet Boundary around an M-dwarf
Shota Miyazaki, Takahiro Sumi, David P. Bennett +92
We present the analysis of the binary-lens microlensing event OGLE-2013-BLG-0911. The best-fit solutions indicate the binary mass ratio of q~0.03 which differs from that reported i…
In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation
Ye Yuan, Wuyang Chen, Yang Yang +1
The comparative losses (typically, triplet loss) are appealing choices for learning person re-identification (ReID) features. However, the triplet loss is computationally much more…