Ekaterina Lobacheva
Recent Publications
- To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning (2023) NeurIPS 2023
- 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