Ekaterina Lobacheva

Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes (2022) NeurIPS 2022
On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay (2021) NeurIPS 2021
On Power Laws in Deep Ensembles (2020) NeurIPS 2020
On Power Laws in Deep Ensembles (2020)
Structured Sparsification of Gated Recurrent Neural Networks (2020) AAAI 2020
Structured Sparsification of Gated Recurrent Neural Networks (2019)
Bayesian Sparsification of Gated Recurrent Neural Networks (2018)
Bayesian Compression for Natural Language Processing (2018) EMNLP 2018
Monotonic models for real-time dynamic malware detection (2018)
Bayesian Sparsification of Recurrent Neural Networks (2017)
Semantic embeddings for program behaviour patterns (2017)
Deep Part-Based Generative Shape Model with Latent Variables (2016) BMVC 2016
Joint Optimization of Segmentation and Color Clustering (2015) ICCV 2015