420 citations · 1.6k across the 44 of their papers we have counts for
4 papers · 1 filter
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries
Qianjiang Hu, Xiao Wang, Wei Hu +1
Contrastive learning relies on constructing a collection of negative examples that are sufficiently hard to discriminate against positive queries when their representations are sel…
Knowledge-Enriched Distributional Model Inversion Attacks
Si Chen, Mostafa Kahla, Ruoxi Jia +1
Model inversion (MI) attacks are aimed at reconstructing training data from model parameters. Such attacks have triggered increasing concerns about privacy, especially given a grow…
K-Shot Contrastive Learning of Visual Features with Multiple Instance Augmentations
Haohang Xu, Hongkai Xiong, Guo-Jun Qi
In this paper, we propose the -Shot Contrastive Learning (KSCL) of visual features by applying multiple augmentations to investigate the sample variations within individual inst…
Spatial-Temporal Transformer Networks for Traffic Flow Forecasting
Mingxing Xu, Wenrui Dai, Chunmiao Liu +4
Traffic forecasting has emerged as a core component of intelligent transportation systems. However, timely accurate traffic forecasting, especially long-term forecasting, still rem…