Machine Learning PhD Survival Guide 2021 | Advice on Topic Selection, Papers, Conferences & more!
May 03, 2021
#machinelearning #phd #howto This video is advice for new PhD students in the field of Machine Learning in 2021 and after. The field has shifted dramatically in the last few years and navigating grad school can be very hard, especially when you're as clueless as I was when I started. The video is a personal recount of my mistakes and what I've learned from them. If you already have several published papers and know what to do, this video is not for you. However, if you are not even sure where to start, how to select a topic, or what goes in a paper, you might benefit from this video, because that's exactly how I felt. Main Takeaways: - Select niche topics rather than hype topics - Write papers that can't be rejected - Don't be discouraged by bad reviews - Take reviewing & teaching seriously - Keep up your focus - Conferences are for networking - Internships are great opportunities - Team up with complementary skills - Don't work too hard OUTLINE: 0:00 - Intro & Overview 1:25 - Thesis Topic Selection 4:25 - How To Publish Papers 5:35 - Dealing With Reviewers 6:30 - How To Be A Reviewer 7:40 - Take Teaching Seriously 8:30 - Maintain Focus 10:20 - Navigating Conferences 12:40 - Internships 13:40 - Collaborations 14:55 - Don't Forget To Enjoy Transcript:
Credits to Lanz for editing Links: TabNine Code Completion (Referral):
If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar:
Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n
- Intro & Overview
- Thesis Topic Selection
- How To Publish Papers
- Dealing With Reviewers
- How To Be A Reviewer
- Take Teaching Seriously
- Maintain Focus
- Navigating Conferences
- Don't Forget To Enjoy
Category: Research Paper
📝 No reactions yet
Be the first one to share your thoughts!
ICAPS 2014: Mike Barley on "Overcoming the Utility Problem in Heuristic Generation: ..."
| Aug 7, 2014
ICAPS 2014: Stefan Edelkamp on "Symbolic and Explicit Search Hybrid through Perfect Hash Functions"
| Aug 7, 2014
ICAPS 2012: Invited Talk by Anthony Cohn
| Aug 15, 2014
ICAPS 2012: Invited talk by George Pappas
| Aug 18, 2014
ICAPS 2012: Opening Remark & Invited Talk by Robert Ambrose
| Aug 18, 2014
Crossminds Chrome Extension
Watch videos on arXiv
Subscribe to Our Newsletter
AI Startup Jobs
Terms & Conditions
© Provided by CrossCircles Inc.