NYU professor Kyunghyun Cho recently highlighted its long-term significance.
sometimes , it really does take a decade for me to understand a paper and appreciate its insight and foresight. <Discovering Causal Signals in Images> is one such paper. wow ... david, @robertnishihara , @soumithchintala , @bschoelkopf & @LeonBottou really did see the future.
Users praise the 2017 paper's causal signal ideas for their broad generality, arguing the 'In Images' title limited wider appreciation and readership.
the full paper is at https://openaccess.thecvf.com/content_cvpr_2017/html/Lopez-Paz_Discovering_Causal_Signals_CVPR_2017_paper.html
sometimes , it really does take a decade for me to understand a paper and appreciate its insight and foresight. <Discovering Causal Signals in Images> is one such paper. wow ... david, @robertnishihara , @soumithchintala , @bschoelkopf & @LeonBottou really did see the future.
sometimes , it really does take a decade for me to understand a paper and appreciate its insight and foresight. <Discovering Causal Signals in Images> is one such paper. wow ... david, @robertnishihara , @soumithchintala , @bschoelkopf & @LeonBottou really did see the future.
if they removed "In Images" from the title, this paper would've been appreciated and read much more broadly, i think. the ideas here are so general.
NYU professor Kyunghyun Cho recently highlighted its long-term significance.
sometimes , it really does take a decade for me to understand a paper and appreciate its insight and foresight. <Discovering Causal Signals in Images> is one such paper. wow ... david, @robertnishihara , @soumithchintala , @bschoelkopf & @LeonBottou really did see the future.
