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Workshop
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Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
Anna Bair · Hongxu Yin · Maying Shen · Pavlo Molchanov · Jose M. Alvarez
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Workshop
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Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
Mengzhou Xia · Tianyu Gao · Zhiyuan Zeng · Danqi Chen
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Workshop
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Transfer Learning for Structured Pruning under Limited Task Data
Lucio M Dery · Awni Hannun · David Grangier
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Workshop
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Tiny Graph Convolutional Networks with Topologically Consistent Magnitude Pruning
Hichem SAHBI
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Workshop
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Pruning Neural Networks with Velocity-Constrained Optimization
Donghyun Oh · Jinseok Chung · Namhoon Lee
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Workshop
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Deep neural networks with dependent weights: \\Gaussian Process mixture limit, heavy tails, sparsity and compressibility
Hoil Lee · Fadhel Ayed · Paul Jung · Juho Lee · Hongseok Yang · Francois Caron
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Workshop
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When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale
Max Marion · Ahmet Üstün · Luiza A Pozzobon · Alex Wang · Marzieh Fadaee · Sara Hooker
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Workshop
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Sculpting Efficiency: Pruning Medical Imaging Models for On-Device Inference
Sudarshan Sreeram · Bernhard Kainz
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Workshop
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Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
Anna Bair · Hongxu Yin · Maying Shen · Pavlo Molchanov · Jose M. Alvarez
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Workshop
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LeanFlex-GKP: Advancing Hassle-Free Structured Pruning with Simple Flexible Group Count
Jiamu Zhang · Shaochen (Henry) Zhong · Andrew Ye · Zirui Liu · Kaixiong Zhou · Xia Hu · Shuai Xu · Vipin Chaudhary
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Workshop
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Bridging the Gap: Towards Flexible, Efficient, and Effective Tensor Product Networks
Nanxiang Wang · Chen Lin · Michael Bronstein · Philip Torr
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Workshop
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Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
Mengzhou Xia · Tianyu Gao · Zhiyuan Zeng · Danqi Chen
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