Eugenia Iofinova

According to our database1, Eugenia Iofinova authored at least 12 papers between 2021 and 2024.

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Bibliography

2024
Accurate Neural Network Pruning Requires Rethinking Sparse Optimization.
Trans. Mach. Learn. Res., 2024

Panza: A Personalized Text Writing Assistant via Data Playback and Local Fine-Tuning.
CoRR, 2024

SPADE: Sparsity-Guided Debugging for Deep Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Hacking Generative Models with Differentiable Network Bending.
CoRR, 2023

SPADE: Sparsity-Guided Debugging for Deep Neural Networks.
CoRR, 2023

SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks.
CoRR, 2023

SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge.
Proceedings of the International Conference on Machine Learning, 2023

Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
FLEA: Provably Robust Fair Multisource Learning from Unreliable Training Data.
Trans. Mach. Learn. Res., 2022

How Well Do Sparse ImageNet Models Transfer?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
FLEA: Provably Fair Multisource Learning from Unreliable Training Data.
CoRR, 2021

AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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