Input vector representation vs output vector representation in word2vec

In word2vec's CBOW and skip-gram models, how does choosing word vectors from $W$ (input word matrix) vs. choosing word vectors from $W'$ (output word matrix) impact the quality of the resulting word vectors?

CBOW:

Skip-gram: