113 citations · 335 across the 25 of their papers we have counts for
4 papers · 1 filter
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective
Jinxiang Lai, Siqian Yang, Guannan Jiang +9
Few-shot learning problem focuses on recognizing unseen classes given a few labeled images. In recent effort, more attention is paid to fine-grained feature embedding, ignoring the…
MSE-Based Transceiver Designs for RIS-Aided Communications With Hardware Impairments
Jingwen Zhao, Ming Chen, Cunhua Pan +3
It is challenging to precisely configure the phase shifts of the reflecting elements at the reconfigurable intelligent surface (RIS) due to inherent hardware impairments (HIs). In…
DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs
Jialun Cao, Meiziniu Li, Xiao Chen +4
As Deep Learning (DL) systems are widely deployed for mission-critical applications, debugging such systems becomes essential. Most existing works identify and repair suspicious ne…
Accelerating Representation Learning with View-Consistent Dynamics in Data-Efficient Reinforcement Learning
Tao Huang, Jiachen Wang, Xiao Chen
Learning informative representations from image-based observations is of fundamental concern in deep Reinforcement Learning (RL). However, data-inefficiency remains a significant b…