Alexandra Peste

According to our database, Alexandra Peste authored at least 12 papers between 2015 and 2024.

Collaborative distances:

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

2024

Accurate Neural Network Pruning Requires Rethinking Sparse Optimization.

Denis Kuznedelev, Eldar Kurtic, Eugenia Iofinova, Elias Frantar, Alexandra Peste, Dan Alistarh

Trans. Mach. Learn. Res., 2024

2023

ELSA: Partial Weight Freezing for Overhead-Free Sparse Network Deployment.

Paniz Halvachi, Alexandra Peste, Dan Alistarh, Christoph H. Lampert

CoRR, 2023

Knowledge Distillation Performs Partial Variance Reduction.

Mher Safaryan, Alexandra Peste, Dan Alistarh

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

CrAM: A Compression-Aware Minimizer.

Alexandra Peste, Adrian Vladu, Eldar Kurtic, Christoph H. Lampert, Dan Alistarh

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures.

Eugenia Iofinova, Alexandra Peste, Dan Alistarh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

CrAM: A Compression-Aware Minimizer.

Alexandra Peste, Adrian Vladu, Dan Alistarh, Christoph H. Lampert

CoRR, 2022

How Well Do Sparse ImageNet Models Transfer?

Eugenia Iofinova, Alexandra Peste, Mark Kurtz, Dan Alistarh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks.

Torsten Hoefler, Dan Alistarh, Tal Ben-Nun, Nikoli Dryden, Alexandra Peste

J. Mach. Learn. Res., 2021

SSSE: Efficiently Erasing Samples from Trained Machine Learning Models.

Alexandra Peste, Dan Alistarh, Christoph H. Lampert

CoRR, 2021

AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks.

Alexandra Peste, Eugenia Iofinova, Adrian Vladu, Dan Alistarh

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

2018

Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds.

Septimia Sârbu, Riccardo Volpi, Alexandra Peste, Luigi Malagò

CoRR, 2018

2015

Using NLP Specific Tools for Non-NLP Specific Tasks. A Web Security Application.

Octavia-Maria Sulea, Liviu P. Dinu, Alexandra Peste

Proceedings of the Neural Information Processing - 22nd International Conference, 2015