7 citations · 20 across the 27 of their papers we have counts for
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cs.CV2022★ 3 cited
Boosting Object Representation Learning via Motion and Object Continuity
Quentin Delfosse, Wolfgang Stammer, Thomas Rothenbacher +2
Recent unsupervised multi-object detection models have shown impressive performance improvements, largely attributed to novel architectural inductive biases. Unfortunately, they ma…
cs.CL2022
Adaptable Adapters
Nafise Sadat Moosavi, Quentin Delfosse, Kristian Kersting +1
State-of-the-art pretrained NLP models contain a hundred million to trillion parameters. Adapters provide a parameter-efficient alternative for the full finetuning in which we can…