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78 Results
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Poster
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Tue 9:00 |
XTC: Extreme Compression for Pre-trained Transformers Made Simple and Efficient Xiaoxia Wu · Zhewei Yao · Minjia Zhang · Conglong Li · Yuxiong He |
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Poster
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Wed 14:00 |
Structural Knowledge Distillation for Object Detection Philip de Rijk · Lukas Schneider · Marius Cordts · Dariu Gavrila |
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Poster
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Thu 14:00 |
Efficient Dataset Distillation using Random Feature Approximation Noel Loo · Ramin Hasani · Alexander Amini · Daniela Rus |
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Poster
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Respecting Transfer Gap in Knowledge Distillation Yulei Niu · Long Chen · Chang Zhou · Hanwang Zhang |
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Poster
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Tue 14:00 |
Decomposing NeRF for Editing via Feature Field Distillation Sosuke Kobayashi · Eiichi Matsumoto · Vincent Sitzmann |
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Poster
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Tue 9:00 |
Dataset Distillation using Neural Feature Regression Yongchao Zhou · Ehsan Nezhadarya · Jimmy Ba |
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Poster
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Tue 9:00 |
What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective Huan Wang · Suhas Lohit · Michael Jones · Yun Fu |
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Poster
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Tue 14:00 |
DENSE: Data-Free One-Shot Federated Learning Jie Zhang · Chen Chen · Bo Li · Lingjuan Lyu · Shuang Wu · Shouhong Ding · Chunhua Shen · Chao Wu |
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Poster
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Tue 9:00 |
Knowledge Distillation: Bad Models Can Be Good Role Models Gal Kaplun · Eran Malach · Preetum Nakkiran · Shai Shalev-Shwartz |
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Poster
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Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again Xin-Chun Li · Wen-shu Fan · Shaoming Song · Yinchuan Li · bingshuai Li · Shao Yunfeng · De-Chuan Zhan |
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Poster
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Thu 14:00 |
SeqPATE: Differentially Private Text Generation via Knowledge Distillation Zhiliang Tian · Yingxiu Zhao · Ziyue Huang · Yu-Xiang Wang · Nevin L. Zhang · He He |
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Poster
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Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks Lirong Wu · Haitao Lin · Yufei Huang · Stan Z. Li |