Applying Supervised Machine Learning to the Fight against Online Child Sexual Abuse

Some reports of NGOs and anecdotal evidence suggest that child abuse materials (CAMs) share some characteristics extensively. They mostly take place indoor settings, victims' face or genitalia is visible and there are few visual clues about the abuser(s). For the known CAMs, there are methods...

By kemal veli a├žar

Unifying generative models and exact likelihood-free inference with conditional bijections

Recent work in density estimation uses a bijection $f : X \to Z$ (e.g. an invertible flow or autoregressive model) and a tractable density $p(z)$ (e.g. [[1]](https://arxiv.org/abs/1410.8516) [[2]](http://www.dmi.usherb.ca/~larocheh/projects_nade.html) [[3]](https://arxiv.org/abs/1410.6460) [[4]...

By Kyle Cranmer, Gilles Louppe