Ekaterina Lobacheva
-Recent Publications
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- - To Stay or Not to Stay in the Pre-train Basin: Insights on Ensembling in Transfer Learning - (2023) -NeurIPS 2023 -
- - Large Learning Rates Improve Generalization: But How Large Are We Talking About? - (2023) -NeurIPS 2023 Workshop M3L -
- - 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 -