I totally agree with you, but I'm still in undergrad (just submitted one paper about multi-modal) and I have to prepare for grad school, aiming for top uni. Thus, I suppose publishing more on trendy subfields would benefit more (Maybe I'm wrong on this). Probably I will work on them in my Ph.D. Thanks for your advice!
However, I'm looking for research that borrows the idea of Physics to solve AI tasks(CV, NLP, ...), kinda like the Poisson flow generative model above. Do you know any papers?
ShadowKnightPro OP t1_iv94h1t wrote
Reply to comment by canbooo in [D] Physics-inspired Deep Learning Models by ShadowKnightPro
I totally agree with you, but I'm still in undergrad (just submitted one paper about multi-modal) and I have to prepare for grad school, aiming for top uni. Thus, I suppose publishing more on trendy subfields would benefit more (Maybe I'm wrong on this). Probably I will work on them in my Ph.D. Thanks for your advice!