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Poster
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Mon 21:00
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Parametric Instance Classification for Unsupervised Visual Feature learning
Yue Cao · Zhenda Xie · Bin Liu · Yutong Lin · Zheng Zhang · Han Hu
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Poster
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Thu 9:00
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Statistical Guarantees of Distributed Nearest Neighbor Classification
Jiexin Duan · Xingye Qiao · Guang Cheng
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Poster
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Wed 9:00
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Uncertainty-aware Self-training for Few-shot Text Classification
Subhabrata Mukherjee · Ahmed Awadallah
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Poster
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Tue 9:00
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Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
Kaihua Tang · Jianqiang Huang · Hanwang Zhang
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Poster
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Tue 21:00
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Towards Convergence Rate Analysis of Random Forests for Classification
Wei Gao · Zhi-Hua Zhou
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Workshop
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Sat 14:20
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Contributed Talk 4: Strategic Recourse in Linear Classification
Yatong Chen · Yang Liu
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Workshop
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Scalable solutions for MR image classification of Alzheimer's disease
Sarah Brueningk
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Affinity Workshop
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Self-Supervised Transformers for Activity Classification using Ambient Sensors
Ariel Ruiz-Garcia
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Affinity Workshop
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Mon 10:41
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Performance Variability in Zero-Shot Classification
Matías Molina
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Affinity Workshop
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Mon 15:41
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Neural language models for text classification in evidence-based medicine
Andres Carvallo
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Workshop
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Fri 6:47
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Spotlight: Spatiotemporal Features Improve Fine-Grained Butterfly Image Classification
Marta Skreta
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Poster
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Thu 21:00
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Multi-label classification: do Hamming loss and subset accuracy really conflict with each other?
Guoqiang Wu · Jun Zhu
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