Ekaterina Lobacheva

According to our database, Ekaterina Lobacheva authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Large Learning Rates Improve Generalization: But How Large Are We Talking About?

Ekaterina Lobacheva, Eduard Pockonechnyy, Maxim Kodryan, Dmitry P. Vetrov

CoRR, 2023

To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning.

Ildus Sadrtdinov, Dmitrii Pozdeev, Dmitry P. Vetrov, Ekaterina Lobacheva

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes.

Maxim Kodryan, Ekaterina Lobacheva, Maksim Nakhodnov, Dmitry P. Vetrov

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Machine Learning Methods for Spectral Efficiency Prediction in Massive MIMO Systems.

Evgeny Bobrov, Sergey Troshin, Nadezhda Chirkova, Ekaterina Lobacheva, Sviatoslav Panchenko, Dmitry P. Vetrov, Dmitry Kropotov

CoRR, 2021

On the Memorization Properties of Contrastive Learning.

Ildus Sadrtdinov, Nadezhda Chirkova, Ekaterina Lobacheva

CoRR, 2021

On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay.

Ekaterina Lobacheva, Maxim Kodryan, Nadezhda Chirkova, Andrey Malinin, Dmitry P. Vetrov

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Deep Ensembles on a Fixed Memory Budget: One Wide Network or Several Thinner Ones?

Nadezhda Chirkova, Ekaterina Lobacheva, Dmitry P. Vetrov

CoRR, 2020

On Power Laws in Deep Ensembles.

Ekaterina Lobacheva, Nadezhda Chirkova, Maxim Kodryan, Dmitry P. Vetrov

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Structured Sparsification of Gated Recurrent Neural Networks.

Ekaterina Lobacheva, Nadezhda Chirkova, Alexander Markovich, Dmitry P. Vetrov

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Bayesian Sparsification of Gated Recurrent Neural Networks.

Ekaterina Lobacheva, Nadezhda Chirkova, Dmitry P. Vetrov

CoRR, 2018

Semantic embeddings for program behavior patterns.

Alexander Chistyakov, Ekaterina Lobacheva, Arseny Kuznetsov, Alexey Romanenko

CoRR, 2018

Monotonic models for real-time dynamic malware detection.

Alexander Chistyakov, Ekaterina Lobacheva, Alexander Shevelev, Alexey Romanenko

Proceedings of the 6th International Conference on Learning Representations, 2018

Bayesian Compression for Natural Language Processing.

Nadezhda Chirkova, Ekaterina Lobacheva, Dmitry P. Vetrov

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Bayesian Sparsification of Recurrent Neural Networks.

Ekaterina Lobacheva, Nadezhda Chirkova, Dmitry P. Vetrov

CoRR, 2017

Semantic embeddings for program behaviour patterns.

Alexander Chistyakov, Ekaterina Lobacheva, Arseny Kuznetsov, Alexey Romanenko

Proceedings of the 5th International Conference on Learning Representations, 2017

2016

Deep Part-Based Generative Shape Model with Latent Variables.

Alexander Kirillov, Mikhail Gavrikov, Ekaterina Lobacheva, Anton Osokin, Dmitry P. Vetrov

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Joint Optimization of Segmentation and Color Clustering.

Ekaterina Lobacheva, Olga Veksler, Yuri Boykov

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015