Alexandra Peste

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 17

Top Topics

Countermeasures

Avoid Overfitting

Top Venues

Publications

Denis Kuznedelev, Eldar Kurtic, Eugenia Iofinova, Elias Frantar, Alexandra Peste, Dan Alistarh
Accurate Neural Network Pruning Requires Rethinking Sparse Optimization. Trans. Mach. Learn. Res. 2024 (2024)
Eugenia Iofinova, Alexandra Peste, Dan Alistarh
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures. CVPR (2023)
Mher Safaryan, Alexandra Peste, Dan Alistarh
Knowledge Distillation Performs Partial Variance Reduction. NeurIPS (2023)
Eugenia Iofinova, Alexandra Peste, Dan Alistarh
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures. CoRR (2023)
Denis Kuznedelev, Eldar Kurtic, Eugenia Iofinova, Elias Frantar, Alexandra Peste, Dan Alistarh
Accurate Neural Network Pruning Requires Rethinking Sparse Optimization. CoRR (2023)
Alexandra Peste, Adrian Vladu, Eldar Kurtic, Christoph H. Lampert, Dan Alistarh
CrAM: A Compression-Aware Minimizer. ICLR (2023)
Paniz Halvachi, Alexandra Peste, Dan Alistarh, Christoph H. Lampert
ELSA: Partial Weight Freezing for Overhead-Free Sparse Network Deployment. CoRR (2023)
Mher Safaryan, Alexandra Peste, Dan Alistarh
Knowledge Distillation Performs Partial Variance Reduction. CoRR (2023)
Alexandra Peste, Adrian Vladu, Dan Alistarh, Christoph H. Lampert
CrAM: A Compression-Aware Minimizer. CoRR (2022)
Eugenia Iofinova, Alexandra Peste, Mark Kurtz, Dan Alistarh
How Well Do Sparse ImageNet Models Transfer? CVPR (2022)
Torsten Hoefler, Dan Alistarh, Tal Ben-Nun, Nikoli Dryden, Alexandra Peste
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks. J. Mach. Learn. Res. 22 (2021)
Torsten Hoefler, Dan Alistarh, Tal Ben-Nun, Nikoli Dryden, Alexandra Peste
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks. CoRR (2021)
Alexandra Peste, Eugenia Iofinova, Adrian Vladu, Dan Alistarh
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks. NeurIPS (2021)
Eugenia Iofinova, Alexandra Peste, Mark Kurtz, Dan Alistarh
How Well Do Sparse Imagenet Models Transfer? CoRR (2021)
Alexandra Peste, Eugenia Iofinova, Adrian Vladu, Dan Alistarh
AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks. CoRR (2021)
Alexandra Peste, Dan Alistarh, Christoph H. Lampert
SSSE: Efficiently Erasing Samples from Trained Machine Learning Models. CoRR (2021)
Septimia Sârbu, Riccardo Volpi, Alexandra Peste, Luigi Malagò
Learning in Variational Autoencoders with Kullback-Leibler and Renyi Integral Bounds. CoRR (2018)
Octavia-Maria Sulea, Liviu P. Dinu, Alexandra Peste
Using NLP Specific Tools for Non-NLP Specific Tasks. A Web Security Application. ICONIP (4) (2015)