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Poster
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Wed 9:00
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Metric-Free Individual Fairness in Online Learning
Yahav Bechavod · Christopher Jung · Steven Wu
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Oral
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Wed 6:15
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Metric-Free Individual Fairness in Online Learning
Yahav Bechavod · Christopher Jung · Steven Wu
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Poster
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Wed 21:00
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A Closer Look at the Training Strategy for Modern Meta-Learning
JIAXIN CHEN · Xiao-Ming Wu · Yanke Li · Qimai LI · Li-Ming Zhan · Fu-lai Chung
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Workshop
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Sat 3:10
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DeepSim: Semantic similarity metrics for learned image registration
Steffen Czolbe
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Workshop
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Fri 6:39
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Spotlight: Permutation Invariant Networks to Learn Wasserstein Metrics
Arijit Sehanobish · Neal G Ravindra · David van Dijk
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Workshop
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Poster: Multi-task Reinforcement Learning with a Planning Quasi-Metric
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Poster
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Tue 21:00
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Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies
Yuehua Zhu · Muli Yang · Cheng Deng · Wei Liu
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Workshop
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Fri 9:20
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The Zero Resource Speech Benchmark 2021. Metrics and baselines for unsupervised spoken language modeling
Tu Anh Nguyen
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Poster
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Tue 9:00
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Simultaneous Preference and Metric Learning from Paired Comparisons
Austin Xu · Mark Davenport
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Spotlight
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Tue 7:10
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Simultaneous Preference and Metric Learning from Paired Comparisons
Austin Xu · Mark Davenport
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Poster
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Thu 21:00
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Deep Metric Learning with Spherical Embedding
Dingyi Zhang · Yingming Li · Zhongfei Zhang
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Spotlight
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Tue 20:10
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Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies
Yuehua Zhu · Muli Yang · Cheng Deng · Wei Liu
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