1k citations · 3.1k across the 56 of their papers we have counts for
3 papers · 1 filter
Dual Contradistinctive Generative Autoencoder
Gaurav Parmar, Dacheng Li, Kwonjoon Lee +1
We present a new generative autoencoder model with dual contradistinctive losses to improve generative autoencoder that performs simultaneous inference (reconstruction) and synthes…
One-pixel Signature: Characterizing CNN Models for Backdoor Detection
Shanjiaoyang Huang, Weiqi Peng, Zhiwei Jia +1
We tackle the convolution neural networks (CNNs) backdoor detection problem by proposing a new representation called one-pixel signature. Our task is to detect/classify if a CNN mo…
Guided Variational Autoencoder for Disentanglement Learning
Zheng Ding, Yifan Xu, Weijian Xu +4
We propose an algorithm, guided variational autoencoder (Guided-VAE), that is able to learn a controllable generative model by performing latent representation disentanglement lear…