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Poster
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Thu 9:00 |
Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning Elias Frantar · Dan Alistarh |
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Poster
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Wed 9:00 |
Sparse Probabilistic Circuits via Pruning and Growing Meihua Dang · Anji Liu · Guy Van den Broeck |
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Poster
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Tue 14:00 |
Pruning’s Effect on Generalization Through the Lens of Training and Regularization Tian Jin · Michael Carbin · Dan Roy · Jonathan Frankle · Gintare Karolina Dziugaite |
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Poster
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Wed 14:00 |
Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions Murad Tukan · Loay Mualem · Alaa Maalouf |
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Poster
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Thu 9:00 |
A Fast Post-Training Pruning Framework for Transformers Woosuk Kwon · Sehoon Kim · Michael Mahoney · Joseph Hassoun · Kurt Keutzer · Amir Gholami |
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Poster
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SAViT: Structure-Aware Vision Transformer Pruning via Collaborative Optimization Chuanyang Zheng · zheyang li · Kai Zhang · Zhi Yang · Wenming Tan · Jun Xiao · Ye Ren · Shiliang Pu |
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Poster
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Wed 9:00 |
SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance Edouard YVINEC · Arnaud Dapogny · Matthieu Cord · Kevin Bailly |
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Poster
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Wed 9:00 |
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations Steffen Schotthöfer · Emanuele Zangrando · Jonas Kusch · Gianluca Ceruti · Francesco Tudisco |
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Poster
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Thu 14:00 |
Spatial Pruned Sparse Convolution for Efficient 3D Object Detection Jianhui Liu · Yukang Chen · Xiaoqing Ye · Zhuotao Tian · Xiao Tan · Xiaojuan Qi |
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Poster
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Thu 9:00 |
Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation Ziyu Jiang · Xuxi Chen · Xueqin Huang · Xianzhi Du · Denny Zhou · Zhangyang Wang |
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Poster
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Thu 9:00 |
Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks Mansheej Paul · Brett Larsen · Surya Ganguli · Jonathan Frankle · Gintare Karolina Dziugaite |
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Poster
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Structural Pruning via Latency-Saliency Knapsack Maying Shen · Hongxu Yin · Pavlo Molchanov · Lei Mao · Jianna Liu · Jose M. Alvarez |