Hi ML community,
I’m nearing the end of my three-year PhD journey. Throughout this period, I’ve dedicated myself to producing a research paper annually, targeting top-tier conferences like ICML, ICLR, and NeurIPS. Despite my efforts and resubmissions, none of my papers made it through. As a result, my publication record consists solely of three manuscripts on arXiv.
My initial post-PhD ambition was to delve deeper into machine learning research at leading tech companies such as Facebook, Google, or Microsoft. However, my applications were turned down, primarily due to the lack of publications in prestigious conferences, which seems to be a crucial criterion for these roles.
Confronted with this setback and the pressing need to manage my finances, I shifted my focus to more traditional industry roles in consulting and finance. I’ve recently secured a position in quant finance, which, while exciting, means I won’t have the bandwidth to revisit and resubmit my research papers.
Reflecting on this journey, I sometimes feel disheartened, questioning the value of my PhD experience, especially when I consider my lack of published work in major machine learning conferences.
I see other PhD students in my field publish 2 papers per year in these top conferences which makes me wonder whether I am a failure? I’m open to any thoughts or advice on my situation.
Tbh its really uncommon to produce something worthwhile in a 3 year PhD, most work you see in respected journals take 5-6 years minimum with a lot of post doc. I’d say you did not lose any time, if anything the title alone is worth more than a measly 3 year study