7 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Teacher Network Calibration Improves Cross-Quality Knowledge Distillation
Pia Čuk, Robin Senge, Mikko Lauri +1
We investigate cross-quality knowledge distillation (CQKD), a knowledge distillation method where knowledge from a teacher network trained with full-resolution images is transferre…
cs.LG2020★ 7 cited
Demand Forecasting using Long Short-Term Memory Neural Networks
Marta Gołąbek, Robin Senge, Rainer Neumann
In this paper we investigate to what extent long short-term memory neural networks (LSTMs) are suitable for demand forecasting in the e-grocery retail sector. For this purpose, uni…
cs.LG2019★ 6 cited
Rectifying Classifier Chains for Multi-Label Classification
Robin Senge, Juan José del Coz, Eyke Hüllermeier
Classifier chains have recently been proposed as an appealing method for tackling the multi-label classification task. In addition to several empirical studies showing its state-of…