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57 Results
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Poster
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Wed 15:00 |
Optimal Unbiased Randomizers for Regression with Label Differential Privacy Ashwinkumar Badanidiyuru Varadaraja · Badih Ghazi · Pritish Kamath · Ravi Kumar · Ethan Leeman · Pasin Manurangsi · Avinash V Varadarajan · Chiyuan Zhang |
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Poster
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Wed 15:00 |
Deep Insights into Noisy Pseudo Labeling on Graph Data Botao WANG · Jia Li · Yang Liu · Jiashun Cheng · Yu Rong · Wenjia Wang · Fugee Tsung |
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Poster
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Wed 15:00 |
Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning Ming-Kun Xie · Jiahao Xiao · Hao-Zhe Liu · Gang Niu · Masashi Sugiyama · Sheng-Jun Huang |
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Poster
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Tue 15:15 |
Partial Label Learning with Dissimilarity Propagation guided Candidate Label Shrinkage Yuheng Jia · Fuchao Yang · Yongqiang Dong |
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Poster
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Wed 8:45 |
ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning Mingyu Xu · Zheng Lian · Lei Feng · Bin Liu · Jianhua Tao |
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Workshop
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Instance-Dependent Partial Label Learning with Identifiable Causal Representations Yizhi Wang · Weijia Zhang · Min-Ling Zhang |
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Poster
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Thu 8:45 |
Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily Langzhang Liang · Xiangjing Hu · Zenglin Xu · Zixing Song · Irwin King |
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Workshop
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Diffusing More Objects for Semi-Supervised Domain Adaptation with Less Labeling Leander van den Heuvel · Gertjan Burghouts · David Zhang · Gwenn Englebienne · Sabina van Rooij |
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Poster
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Thu 8:45 |
False Discovery Proportion control for aggregated Knockoffs Alexandre Blain · Bertrand Thirion · Olivier Grisel · Pierre Neuvial |