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Affinity Workshop
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Mon 13:30
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Machine-Learning Powered Segmentation for Astronomical Images
Ramadimetse Sydil Kupa
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Workshop
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Sat 8:25
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Analog-Optical Computation for optimization and machine-learning inference
Jannes Gladrow
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Workshop
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Sat 9:10
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Yunkai Zhang - VMR2L: Virtual Machines Rescheduling Using Reinforcement Learning in Data Centers
Yunkai Zhang
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Workshop
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Sat 12:00
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Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience
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Poster
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Wed 8:45
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Temporal Robustness against Data poisoning
Wenxiao Wang · Soheil Feizi
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Workshop
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Sat 11:30
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The Optimization Conundrum: Balancing Data, Speed, and Accuracy in Real-Time Machine Learning
Mihaela van der Schaar
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Affinity Workshop
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Mon 8:30
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Uncertainty Inclusive Contrastive Learning for Leveraging Synthetic Data
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Workshop
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Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience
Rongguang Wang · Pratik Chaudhari · Christos Davatzikos
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Poster
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Wed 15:00
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Data Minimization at Inference Time
Cuong Tran · Nando Fioretto
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Poster
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Wed 8:45
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Joint Data-Task Generation for Auxiliary Learning
Hong Chen · Xin Wang · Yuwei Zhou · Yijian Qin · Chaoyu Guan · Wenwu Zhu
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Workshop
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Probabilistic-Machine-Learning-based Turbulence Model Learning with a Differentiable Solver
Atul Agrawal · Phaedon S Koutsourelakis
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Tutorial
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Mon 7:45
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Data Contribution Estimation for Machine Learning
Stephanie Schoch · Ruoxi Jia · Yangfeng Ji
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