4 citations · 11 across the 17 of their papers we have counts for
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cs.LG2021
Social Processes: Self-Supervised Meta-Learning over Conversational Groups for Forecasting Nonverbal Social Cues
Chirag Raman, Hayley Hung, Marco Loog
Free-standing social conversations constitute a yet underexplored setting for human behavior forecasting. While the task of predicting pedestrian trajectories has received much rec…
cs.CV2021
Resolution learning in deep convolutional networks using scale-space theory
Silvia L. Pintea, Nergis Tomen, Stanley F. Goes +2
Resolution in deep convolutional neural networks (CNNs) is typically bounded by the receptive field size through filter sizes, and subsampling layers or strided convolutions on fea…
cs.LG2021
Nearest Neighbor-based Importance Weighting
Marco Loog
Importance weighting is widely applicable in machine learning in general and in techniques dealing with data covariate shift problems in particular. A novel, direct approach to det…