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Poster
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Tue 9:00
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Data augmentation for efficient learning from parametric experts
Alexandre Galashov · Josh Merel · Nicolas Heess
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Workshop
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CUDA: Curriculum of Data Augmentation for Long-tailed Recognition
Sumyeong Ahn · Jongwoo Ko · Se-Young Yun
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Workshop
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Squeezing more value out of your historical data: data-augmented behavioural cloning as launchpad for reinforcement learning
Charles Hepburn · Giovanni Montana
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Poster
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Thu 14:00
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Efficient and Effective Augmentation Strategy for Adversarial Training
Sravanti Addepalli · Samyak Jain · Venkatesh Babu R
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Workshop
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An Empirical Study on Distribution Shift Robustness From the Perspective of Pre-Training and Data Augmentation
Ziquan Liu · Yi Xu · Yuanhong Xu · Qi Qian · Hao Li · Rong Jin · Xiangyang Ji · Antoni Chan
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Poster
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Data Augmentation MCMC for Bayesian Inference from Privatized Data
Nianqiao Ju · Jordan Awan · Ruobin Gong · Vinayak Rao
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Poster
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Thu 9:00
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On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
Sanyam Kapoor · Wesley Maddox · Pavel Izmailov · Andrew Wilson
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Poster
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Thu 14:00
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MEMO: Test Time Robustness via Adaptation and Augmentation
Marvin Zhang · Sergey Levine · Chelsea Finn
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Workshop
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Mixed Samples Data Augmentation with Replacing Latent Vector Components in Normalizing Flow
Genki Osada · Budrul Ahsan · Takashi Nishide
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Poster
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Spectrum Random Masking for Generalization in Image-based Reinforcement Learning
Yangru Huang · Peixi Peng · Yifan Zhao · Guangyao Chen · Yonghong Tian
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Workshop
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Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack
Raksha Ramakrishna · György Dán
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Poster
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Wed 14:00
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Data-Efficient Augmentation for Training Neural Networks
Tian Yu Liu · Baharan Mirzasoleiman
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