Eugenia Iofinova

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 15

Top Topics

Avoid Overfitting

Back Propagation

Multilayer Neural Network

Top Venues

Trans. Mach. Learn. Res.

Publications

Armand Nicolicioiu, Eugenia Iofinova, Eldar Kurtic, Mahdi Nikdan, Andrei Panferov, Ilia Markov, Nir Shavit, Dan Alistarh
Panza: A Personalized Text Writing Assistant via Data Playback and Local Fine-Tuning. CoRR (2024)
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)
Giacomo Aldegheri, Alina Rogalska, Ahmed Youssef, Eugenia Iofinova
Hacking Generative Models with Differentiable Network Bending. CoRR (2023)
Arshia Soltani Moakhar, Eugenia Iofinova, Dan Alistarh
SPADE: Sparsity-Guided Debugging for Deep Neural Networks. CoRR (2023)
Eugenia Iofinova, Alexandra Peste, Dan Alistarh
Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures. CVPR (2023)
Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh
SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks. CoRR (2023)
Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh
SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge. ICML (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)
Eugenia Iofinova, Nikola Konstantinov, Christoph H. Lampert
FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data. Trans. Mach. Learn. Res. 2022 (2022)
Eugenia Iofinova, Alexandra Peste, Mark Kurtz, Dan Alistarh
How Well Do Sparse ImageNet Models Transfer? CVPR (2022)
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)
Eugenia Iofinova, Nikola Konstantinov, Christoph H. Lampert
FLEA: Provably Fair Multisource Learning from Unreliable Training Data. CoRR (2021)