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Poster
Wed 14:00 A Data-Augmentation Is Worth A Thousand Samples: Analytical Moments And Sampling-Free Training
Randall Balestriero · Ishan Misra · Yann LeCun
Poster
Data Augmentation MCMC for Bayesian Inference from Privatized Data
Nianqiao Ju · Jordan Awan · Ruobin Gong · Vinayak Rao
Poster
Thu 9:00 On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
Sanyam Kapoor · Wesley Maddox · Pavel Izmailov · Andrew Wilson
Workshop
Solar Flare Forecasting with Data-driven Interpretable Model
JiaMeng Lv · Peng Jia · 陈风 · 杨过 · Tie Liu
Poster
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
Affinity Workshop
Synthetic Data Augmentation for Time Series Forecasting
Kasumi Ohno · Kohei Makino · Makoto Miwa · Yutaka Sasaki
Affinity Workshop
Simulating Health Time Series by Data Augmentation
Louis Gomez · Adedolapo Toye · Robert Hum · Samantha Kleinberg
Poster
Wed 14:00 Hedging as Reward Augmentation in Probabilistic Graphical Models
Debarun Bhattacharjya · Radu Marinescu
Poster
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
Poster
Wed 14:00 RecursiveMix: Mixed Learning with History
Lingfeng Yang · Xiang Li · Borui Zhao · Renjie Song · Jian Yang
Workshop
Are All Training Data Useful? A Empirical Revisit of Subset Selection in Bayesian Optimization
Peili Mao · Ke Li
Workshop
Amortized Bayesian Inference of GISAXS Data with Normalizing Flows
Maksim Zhdanov · Lisa Randolph · Thomas Kluge · Motoaki Nakatsutsumi · Christian Gutt · Marina Ganeva · Nico Hoffmann