13 citations · 19 across the 4 of their papers we have counts for
4 papers · 1 filter
Bayesian Sparsification of Gated Recurrent Neural Networks
Ekaterina Lobacheva, Nadezhda Chirkova, Dmitry Vetrov
Bayesian methods have been successfully applied to sparsify weights of neural networks and to remove structure units from the networks, e. g. neurons. We apply and further develop…
Bayesian Compression for Natural Language Processing
Nadezhda Chirkova, Ekaterina Lobacheva, Dmitry Vetrov
In natural language processing, a lot of the tasks are successfully solved with recurrent neural networks, but such models have a huge number of parameters. The majority of these p…
Monotonic models for real-time dynamic malware detection
Alexander Chistyakov, Ekaterina Lobacheva, Alexander Shevelev +1
In dynamic malware analysis, programs are classified as malware or benign based on their execution logs. We propose a concept of applying monotonic classification models to the ana…
Semantic embeddings for program behavior patterns
Alexander Chistyakov, Ekaterina Lobacheva, Arseny Kuznetsov +1
In this paper, we propose a new feature extraction technique for program execution logs. First, we automatically extract complex patterns from a program's behavior graph. Then, we…