Alexandra Peste

18 papers A* 5Journal 12Unranked 1

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