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Poster
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Tue 9:00
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Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss
Jason Altschuler · Kunal Talwar
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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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Panel
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Tue 10:00
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Panel 1C-5: Privacy of Noisy… & Near-Optimal Private and…
Shyam Narayanan · Kunal Talwar
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Poster
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Thu 14:00
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Symplectic Spectrum Gaussian Processes: Learning Hamiltonians from Noisy and Sparse Data
Yusuke Tanaka · Tomoharu Iwata · naonori ueda
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Poster
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Wed 9:00
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On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice
Marcus Nordstrom · Henrik Hult · Fredrik Löfman · Jonas Söderberg
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Poster
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Wed 9:00
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Fair Ranking with Noisy Protected Attributes
Anay Mehrotra · Nisheeth Vishnoi
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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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Tue 9:00
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Active Ranking without Strong Stochastic Transitivity
Hao Lou · Tao Jin · Yue Wu · Pan Xu · Quanquan Gu · Farzad Farnoud
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Poster
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Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective
Ruofan Liu · Yun Lin · XIANGLIN YANG · Jin Song Dong
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Poster
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Thu 14:00
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No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation
Yu-Guan Hsieh · Kimon Antonakopoulos · Volkan Cevher · Panayotis Mertikopoulos
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Poster
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Self-Supervised Image Restoration with Blurry and Noisy Pairs
Zhilu Zhang · RongJian Xu · Ming Liu · Zifei Yan · Wangmeng Zuo
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Poster
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Confidence-based Reliable Learning under Dual Noises
Peng Cui · Yang Yue · Zhijie Deng · Jun Zhu
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