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66 Results
Poster
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Wed 14:00 |
A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training Randall Balestriero · Ishan Misra · Yann LeCun |
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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 |
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification Sanyam Kapoor · Wesley Maddox · Pavel Izmailov · Andrew Wilson |
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Workshop
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Solar Flare Forecasting with Data-driven Interpretable Model JiaMeng Lv · Peng Jia · 陈风 · 杨过 · Tie Liu |
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Poster
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Wed 9:00 |
OpenFilter: A Framework to Democratize Research Access to Social Media AR Filters Piera Riccio · Bill Psomas · Francesco Galati · Francisco Escolano · Thomas Hofmann · Nuria Oliver |
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Affinity Workshop
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Synthetic Data Augmentation for Time Series Forecasting Kasumi Ohno · Kohei Makino · Makoto Miwa · Yutaka Sasaki |
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Affinity Workshop
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Simulating Health Time Series by Data Augmentation Louis Gomez · Adedolapo Toye · Robert Hum · Samantha Kleinberg |
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Poster
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Wed 14:00 |
Hedging as Reward Augmentation in Probabilistic Graphical Models Debarun Bhattacharjya · Radu Marinescu |
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Poster
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Tue 9:00 |
Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective Changyou Chen · Jianyi Zhang · Yi Xu · Liqun Chen · Jiali Duan · Yiran Chen · Son Tran · Belinda Zeng · Trishul Chilimbi |
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Poster
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Wed 14:00 |
RecursiveMix: Mixed Learning with History Lingfeng Yang · Xiang Li · Borui Zhao · Renjie Song · Jian Yang |
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Workshop
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Are All Training Data Useful? A Empirical Revisit of Subset Selection in Bayesian Optimization Peili Mao · Ke Li |
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Workshop
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Amortized Bayesian Inference of GISAXS Data with Normalizing Flows Maksim Zhdanov · Lisa Randolph · Thomas Kluge · Motoaki Nakatsutsumi · Christian Gutt · Marina Ganeva · Nico Hoffmann |