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Poster
Improved Utility Analysis of Private CountSketch
Rasmus Pagh · Mikkel Thorup
Poster
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
Poster
Wed 9:00 SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance
Edouard YVINEC · Arnaud Dapogny · Matthieu Cord · Kevin Bailly
Poster
Wed 14:00 Where to Pay Attention in Sparse Training for Feature Selection?
Ghada Sokar · Zahra Atashgahi · Mykola Pechenizkiy · Decebal Constantin Mocanu
Poster
Wed 9:00 Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression
Liangzu Peng · Christian K├╝mmerle · Rene Vidal
Poster
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
Poster
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
Poster
Thu 9:00 Sparsity in Continuous-Depth Neural Networks
Hananeh Aliee · Till Richter · Mikhail Solonin · Ignacio Ibarra · Fabian Theis · Niki Kilbertus
Poster
Thu 9:00 Feature Learning in $L_2$-regularized DNNs: Attraction/Repulsion and Sparsity
Arthur Jacot · Eugene Golikov · Clement Hongler · Franck Gabriel
Poster
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
Poster
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
Workshop
On the Sparsity of Image Super-resolution Network
Chenyu Dong · Hailong Ma · Jinjin Gu · Ruofan Zhang · Jieming Li · Chun Yuan