Ekaterina Lobacheva

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 24

Top Topics

Language Processing

Top Venues

ICLR (Workshop)

Publications

Ildus Sadrtdinov, Dmitrii Pozdeev, Dmitry P. Vetrov, Ekaterina Lobacheva
To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning. NeurIPS (2023)
Ekaterina Lobacheva, Eduard Pockonechnyy, Maxim Kodryan, Dmitry P. Vetrov
Large Learning Rates Improve Generalization: But How Large Are We Talking About? CoRR (2023)
Ildus Sadrtdinov, Dmitrii Pozdeev, Dmitry P. Vetrov, Ekaterina Lobacheva
To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning. CoRR (2023)
Maxim Kodryan, Ekaterina Lobacheva, Maksim Nakhodnov, Dmitry P. Vetrov
Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes. CoRR (2022)
Maxim Kodryan, Ekaterina Lobacheva, Maksim Nakhodnov, Dmitry P. Vetrov
Training Scale-Invariant Neural Networks on the Sphere Can Happen in Three Regimes. NeurIPS (2022)
Evgeny Bobrov, Sergey Troshin, Nadezhda Chirkova, Ekaterina Lobacheva, Sviatoslav Panchenko, Dmitry P. Vetrov, Dmitry Kropotov
Machine Learning Methods for Spectral Efficiency Prediction in Massive MIMO Systems. CoRR (2021)
Ekaterina Lobacheva, Maxim Kodryan, Nadezhda Chirkova, Andrey Malinin, Dmitry P. Vetrov
On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay. NeurIPS (2021)
Ildus Sadrtdinov, Nadezhda Chirkova, Ekaterina Lobacheva
On the Memorization Properties of Contrastive Learning. CoRR (2021)
Ekaterina Lobacheva, Maxim Kodryan, Nadezhda Chirkova, Andrey Malinin, Dmitry P. Vetrov
On the Periodic Behavior of Neural Network Training with Batch Normalization and Weight Decay. CoRR (2021)
Ekaterina Lobacheva, Nadezhda Chirkova, Alexander Markovich, Dmitry P. Vetrov
Structured Sparsification of Gated Recurrent Neural Networks. AAAI (2020)
Ekaterina Lobacheva, Nadezhda Chirkova, Maxim Kodryan, Dmitry P. Vetrov
On Power Laws in Deep Ensembles. NeurIPS (2020)
Ekaterina Lobacheva, Nadezhda Chirkova, Maxim Kodryan, Dmitry P. Vetrov
On Power Laws in Deep Ensembles. CoRR (2020)
Nadezhda Chirkova, Ekaterina Lobacheva, Dmitry P. Vetrov
Deep Ensembles on a Fixed Memory Budget: One Wide Network or Several Thinner Ones? CoRR (2020)
Ekaterina Lobacheva, Nadezhda Chirkova, Alexander Markovich, Dmitry P. Vetrov
Structured Sparsification of Gated Recurrent Neural Networks. CoRR (2019)
Nadezhda Chirkova, Ekaterina Lobacheva, Dmitry P. Vetrov
Bayesian Compression for Natural Language Processing. CoRR (2018)
Alexander Chistyakov, Ekaterina Lobacheva, Alexander Shevelev, Alexey Romanenko
Monotonic models for real-time dynamic malware detection. ICLR (Workshop) (2018)
Nadezhda Chirkova, Ekaterina Lobacheva, Dmitry P. Vetrov
Bayesian Compression for Natural Language Processing. EMNLP (2018)
Alexander Chistyakov, Ekaterina Lobacheva, Arseny Kuznetsov, Alexey Romanenko
Semantic embeddings for program behavior patterns. CoRR (2018)
Alexander Chistyakov, Ekaterina Lobacheva, Alexander Shevelev, Alexey Romanenko
Monotonic models for real-time dynamic malware detection. CoRR (2018)
Ekaterina Lobacheva, Nadezhda Chirkova, Dmitry P. Vetrov
Bayesian Sparsification of Gated Recurrent Neural Networks. CoRR (2018)
Ekaterina Lobacheva, Nadezhda Chirkova, Dmitry P. Vetrov
Bayesian Sparsification of Recurrent Neural Networks. CoRR (2017)
Alexander Chistyakov, Ekaterina Lobacheva, Arseny Kuznetsov, Alexey Romanenko
Semantic embeddings for program behaviour patterns. ICLR (Workshop) (2017)
Alexander Kirillov, Mikhail Gavrikov, Ekaterina Lobacheva, Anton Osokin, Dmitry P. Vetrov
Deep Part-Based Generative Shape Model with Latent Variables. BMVC (2016)
Ekaterina Lobacheva, Olga Veksler, Yuri Boykov
Joint Optimization of Segmentation and Color Clustering. ICCV (2015)