Riade Benbaki — accepted AI-conference papers

2024

FALCON: FLOP-Aware Combinatorial Optimization for Neural Network Pruning

Xiang Meng, Wenyu Chen, Riade Benbaki, Rahul Mazumder

AISTATS 2024poster

The increasing computational demands of modern neural networks present deployment challenges on resource-constrained devices. Network pruning offers a solution to reduce model size and computational cost while maintaining performance. However, current pruning methods focus primarily on improving spa…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗

2023

Fast as CHITA: Neural Network Pruning with Combinatorial Optimization

Riade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao +1

ICML 2023poster

The sheer size of modern neural networks makes model serving a serious computational challenge. A popular class of compression techniques overcomes this challenge by pruning or sparsifying the weights of pretrained networks. While useful, these techniques often face serious tradeoffs between computa…

Cited by 34 Source ↗PDF ↗code ↗Scholar ↗