7 citations · 7 across the 1 of their papers we have counts for
3 papers
cs.CL2021
Ensemble Making Few-Shot Learning Stronger
Qing Lin, Yongbin Liu, Wen Wen +1
Few-shot learning has been proposed and rapidly emerging as a viable means for completing various tasks. Many few-shot models have been widely used for relation learning tasks. How…
physics.ins-det2020★ 7 cited
Scalable, Proposal-free Instance Segmentation Network for 3D Pixel Clustering and Particle Trajectory Reconstruction in Liquid Argon Time Projection Chambers
Dae Heun Koh, Pierre Côte de Soux, Laura Dominé +6
Liquid Argon Time Projection Chambers (LArTPCs) are high resolution particle imaging detectors, employed by accelerator-based neutrino oscillation experiments for high precision ph…
physics.ins-det2020
Clustering of Electromagnetic Showers and Particle Interactions with Graph Neural Networks in Liquid Argon Time Projection Chambers Data
Francois Drielsma, Qing Lin, Pierre Côte de Soux +7
Liquid Argon Time Projection Chambers (LArTPCs) are a class of detectors that produce high resolution images of charged particles within their sensitive volume. In these images, th…