1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2020
Audio-Visual Event Recognition through the lens of Adversary
Juncheng B Li, Kaixin Ma, Shuhui Qu +2
As audio/visual classification models are widely deployed for sensitive tasks like content filtering at scale, it is critical to understand their robustness along with improving th…
stat.ML2020★ 1 cited
Revisiting Factorizing Aggregated Posterior in Learning Disentangled Representations
Ze Cheng, Juncheng Li, Chenxu Wang +4
In the problem of learning disentangled representations, one of the promising methods is to factorize aggregated posterior by penalizing the total correlation of sampled latent var…
cs.CL2020
Towards Zero-shot Learning for Automatic Phonemic Transcription
Xinjian Li, Siddharth Dalmia, David R. Mortensen +3
Automatic phonemic transcription tools are useful for low-resource language documentation. However, due to the lack of training sets, only a tiny fraction of languages have phonemi…