Eugenia Iofinova

According to our database, Eugenia Iofinova authored at least 12 papers between 2021 and 2024.

Collaborative distances:

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

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

Panza: A Personalized Text Writing Assistant via Data Playback and Local Fine-Tuning.

Armand Nicolicioiu, Eugenia Iofinova, Eldar Kurtic, Mahdi Nikdan, Andrei Panferov, Ilia Markov, Nir Shavit, Dan Alistarh

CoRR, 2024

SPADE: Sparsity-Guided Debugging for Deep Neural Networks.

Arshia Soltani Moakhar, Eugenia Iofinova, Elias Frantar, Dan Alistarh

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Hacking Generative Models with Differentiable Network Bending.

Giacomo Aldegheri, Alina Rogalska, Ahmed Youssef, Eugenia Iofinova

CoRR, 2023

SPADE: Sparsity-Guided Debugging for Deep Neural Networks.

Arshia Soltani Moakhar, Eugenia Iofinova, Dan Alistarh

CoRR, 2023

SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks.

Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh

CoRR, 2023

SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge.

Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh

Proceedings of the International Conference on Machine Learning, 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

FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data.

Eugenia Iofinova, Nikola Konstantinov, Christoph H. Lampert

Trans. Mach. Learn. Res., 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

FLEA: Provably Fair Multisource Learning from Unreliable Training Data.

Eugenia Iofinova, Nikola Konstantinov, 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