Tag: #academia17 results
The author reflects on the decline of specialized conferences like BMVC and ICASSP in favor of a few flagship events. It raises concerns about the impact of massive submission volumes on review quality and community focus.
A query regarding specialized job boards for machine learning post-doc positions. The author seeks alternatives to LinkedIn, similar to MathJobs.org for the mathematics community.
A researcher with two first-author papers in A-tier venues seeks advice on how to become a peer reviewer for major AI conferences. The discussion highlights the challenges of getting invited to review despite having a strong academic background.
University of Washington professor emeritus Ed Lazowska has been honored with the Distinguished Teaching Legacy Award. He is recognized for his long-standing contributions to computer science education and his influential role in the Seattle tech ecosystem.
A discussion on the current difficulty of securing a PhD position in machine learning, covering requirements for mid-tier programs and regional differences. The user questions the necessity of additional unpaid research projects to improve candidacy.
State school (R1) student seeks advice on top ML PhD admissions without T5 undergrad like Stanford/MIT. Notes network gaps. Considers name-brand Masters as stepping stone.
AI/ML PhD student debates including a renowned professor with industry ties but poor availability on committee. Seeks advice on impact for industry RS or academia jobs. Prioritizing engagement may yield stronger letters despite less name recognition.