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Poster
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Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning
Shikun Li · Xiaobo Xia · Hansong Zhang · Yibing Zhan · Shiming Ge · Tongliang Liu
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Poster
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Wed 14:00
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Mining Multi-Label Samples from Single Positive Labels
Youngin Cho · Daejin Kim · MOHAMMAD AZAM KHAN · Jaegul Choo
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Poster
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Wed 9:00
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One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement
Ning Xu · Congyu Qiao · Jiaqi Lv · Xin Geng · Min-Ling Zhang
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Poster
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Unsupervised Domain Adaptation for Semantic Segmentation using Depth Distribution
Quanliang Wu · Huajun Liu
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Poster
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MVP-N: A Dataset and Benchmark for Real-World Multi-View Object Classification
REN WANG · Jiayue Wang · Tae Sung Kim · JINSUNG KIM · Hyuk-Jae Lee
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Poster
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Thu 9:00
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Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation
Yang Ni
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Poster
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Thu 9:00
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MBW: Multi-view Bootstrapping in the Wild
Mosam Dabhi · Chaoyang Wang · Tim Clifford · László Jeni · Ian Fasel · Simon Lucey
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Poster
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Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization
Weijia Zhang · Xuanhui Zhang · hanwen deng · Min-Ling Zhang
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Poster
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Wed 14:00
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Star Temporal Classification: Sequence Modeling with Partially Labeled Data
Vineel Pratap · Awni Hannun · Gabriel Synnaeve · Ronan Collobert
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Poster
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Label-invariant Augmentation for Semi-Supervised Graph Classification
Han Yue · Chunhui Zhang · Chuxu Zhang · Hongfu Liu
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Poster
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Thu 14:00
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Active Learning of Classifiers with Label and Seed Queries
Marco Bressan · Nicolò Cesa-Bianchi · Silvio Lattanzi · Andrea Paudice · Maximilian Thiessen
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Workshop
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Invariant Feature Subspace Recovery for Multi-Class Classification
Gargi Balasubramaniam · Haoxiang Wang · Han Zhao
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