306 citations · 682 across the 25 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.LG2020★ 1 cited
AlphaMatch: Improving Consistency for Semi-supervised Learning with Alpha-divergence
Chengyue Gong, Dilin Wang, Qiang Liu
Semi-supervised learning (SSL) is a key approach toward more data-efficient machine learning by jointly leverage both labeled and unlabeled data. We propose AlphaMatch, an efficien…
cs.CV2020★ 13 cited
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
Chengyue Gong, Dilin Wang, Meng Li +2
Data augmentation (DA) is an essential technique for training state-of-the-art deep learning systems. In this paper, we empirically show data augmentation might introduce noisy aug…
cs.CV2020★ 12 cited
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
Dilin Wang, Meng Li, Chengyue Gong +1
Neural architecture search (NAS) has shown great promise in designing state-of-the-art (SOTA) models that are both accurate and efficient. Recently, two-stage NAS, e.g. BigNAS, dec…