77 citations · 125 across the 23 of their papers we have counts for
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cs.LG2022★ 6 cited
Out-of-distribution Detection via Frequency-regularized Generative Models
Mu Cai, Yixuan Li
Modern deep generative models can assign high likelihood to inputs drawn from outside the training distribution, posing threats to models in open-world deployments. While much rese…
cs.CV2022★ 4 cited
Masked Discrimination for Self-Supervised Learning on Point Clouds
Haotian Liu, Mu Cai, Yong Jae Lee
Masked autoencoding has achieved great success for self-supervised learning in the image and language domains. However, mask based pretraining has yet to show benefits for point cl…
cs.LG2022★ 77 cited
VOS: Learning What You Don't Know by Virtual Outlier Synthesis
Xuefeng Du, Zhaoning Wang, Mu Cai +1
Out-of-distribution (OOD) detection has received much attention lately due to its importance in the safe deployment of neural networks. One of the key challenges is that models lac…