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Workshop
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Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence
Diyuan Wu · Vyacheslav Kungurtsev · Marco Mondelli
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Poster
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Tue 14:00
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DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing
Jiawei Shao · Yuchang Sun · Songze Li · Jun Zhang
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Poster
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Thu 9:00
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AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning
Tao Yang · JInghao Deng · Xiaojun Quan · Qifan Wang · Shaoliang Nie
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Poster
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Wed 9:00
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Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
Djordje Miladinovic · Kumar Shridhar · Kushal Jain · Max Paulus · Joachim M Buhmann · Carl Allen
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Workshop
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Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout
Chen Dun · Mirian Hipolito Garcia · Dimitrios Dimitriadis · Christopher Jermaine · Anastasios Kyrillidis
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Workshop
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Feature Restricted Group Dropout for Robust Electronic Health Record Predictions
Bret Nestor · Anna Goldenberg · Marzyeh Ghassemi
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Poster
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DropCov: A Simple yet Effective Method for Improving Deep Architectures
Qilong Wang · Mingze Gao · Zhaolin Zhang · Jiangtao Xie · Peihua Li · Qinghua Hu
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Workshop
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Dropout Disagreement: A Recipe for Group Robustness with Fewer Annotations
Tyler LaBonte · Abhishek Kumar · Vidya Muthukumar
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Poster
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Tue 9:00
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LTMD: Learning Improvement of Spiking Neural Networks with Learnable Thresholding Neurons and Moderate Dropout
SIQI WANG · Tee Hiang Cheng · Meng-Hiot Lim
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