109 citations · 111 across the 8 of their papers we have counts for
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cs.LG2020
EvidentialMix: Learning with Combined Open-set and Closed-set Noisy Labels
Ragav Sachdeva, Filipe R. Cordeiro, Vasileios Belagiannis +2
The efficacy of deep learning depends on large-scale data sets that have been carefully curated with reliable data acquisition and annotation processes. However, acquiring such lar…
cs.NE2020
The Dynamic Travelling Thief Problem: Benchmarks and Performance of Evolutionary Algorithms
Ragav Sachdeva, Frank Neumann, Markus Wagner
Many real-world optimisation problems involve dynamic and stochastic components. While problems with multiple interacting components are omnipresent in inherently dynamic domains l…