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Poster
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Improved Utility Analysis of Private CountSketch Rasmus Pagh · Mikkel Thorup |
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Poster
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Tue 14:00 |
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost Sungjun Cho · Seonwoo Min · Jinwoo Kim · Moontae Lee · Honglak Lee · Seunghoon Hong |
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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 14:00 |
Where to Pay Attention in Sparse Training for Feature Selection? Ghada Sokar · Zahra Atashgahi · Mykola Pechenizkiy · Decebal Constantin Mocanu |
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Poster
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Wed 9:00 |
Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression Liangzu Peng · Christian Kümmerle · Rene Vidal |
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Poster
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Tue 14:00 |
Learning Best Combination for Efficient N:M Sparsity Yuxin Zhang · Mingbao Lin · ZhiHang Lin · Yiting Luo · Ke Li · Fei Chao · Yongjian Wu · Rongrong Ji |
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Poster
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Thu 14:00 |
Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints Jose Gallego-Posada · Juan Ramirez · Akram Erraqabi · Yoshua Bengio · Simon Lacoste-Julien |
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Poster
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Thu 9:00 |
Sparsity in Continuous-Depth Neural Networks Hananeh Aliee · Till Richter · Mikhail Solonin · Ignacio Ibarra · Fabian Theis · Niki Kilbertus |
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Poster
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Thu 9:00 |
Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity Arthur Jacot · Eugene Golikov · Clement Hongler · Franck Gabriel |
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Poster
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Wed 14:00 |
Accelerating Sparse Convolution with Column Vector-Wise Sparsity Yijun Tan · Kai Han · Kang Zhao · Xianzhi Yu · Zidong Du · Yunji Chen · Yunhe Wang · Jun Yao |
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Poster
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Wed 9:00 |
Deep Compression of Pre-trained Transformer Models Naigang Wang · Chi-Chun (Charlie) Liu · Swagath Venkataramani · Sanchari Sen · Chia-Yu Chen · Kaoutar El Maghraoui · Vijayalakshmi (Viji) Srinivasan · Leland Chang |
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Workshop
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On the Sparsity of Image Super-resolution Network Chenyu Dong · Hailong Ma · Jinjin Gu · Ruofan Zhang · Jieming Li · Chun Yuan |