Tom Viering

Assistant professor, teaching ML to various engineers in TU Delft's new AI minor, and investigating sample-wise learning curves.

[Tom Viering @TViering]

@eadeli @euanashley @drfeifei @StanfordHAI @StanfordMed Seems similar to: https://t.co/uPHJ7Zls2i are you aware of this work? How does it compare to yours?

Very interesting work, thanks!

[Tom Viering @TViering]

@FrankRHutter Cool! I was looking forward to reading this since my visit to Freiburg! I am particular fascinated by the generative abilities... In March I will give a lecture about PFNs and this will be included for sure :).

[Hazel Doughty @doughty_hazel]

I'm hiring for a fully funded #PhD position in #ComputerVision on 'Detailed Video Understanding' at @LIACS @UniLeiden.

Apply before 22nd June. More info👇
https://t.co/QafgWY9co5

[Jakub Tomczak @jmtomczak]

The deadline for @NeurIPSConf 2024 has passed, but it doesn't mean we don't work hard to have another fantastic conference! Right now, we are in need for REVIEWERS. If you know someone suitable for this role, please fill in this form: https://t.co/oJlZNo6f48

[Julia Olkhovskaya @jolkhovskaya]

🚀 We're looking for a PhD student to join our team at @tudelft!
Deadline for applications is January 5.
Please share, and feel free to contact me if you have any questions.

[Tom Viering @TViering]

@AliciaCurth @Jeffaresalan Great work! Excellent read!

[Alicia Curth @AliciaCurth]

Every StatML intro class covers complexity-error U-curves, so @Jeffaresalan & I asked ourselves whether the info from these classes is enough to explain double descent too? Our #NeurIPS23 paper does a roundtrip of The Elements of Statistical Learning and answers “Yes”! Long🧵1/n

[Tom Viering @TViering]

@napoperez1998 Soro is right, please apply! We have several students from Latin America in our faculty.

[Tom Viering @TViering]

I am hiring a PhD student. The topic will be related to deep meta-learning on learning curves. You can apply here:

https://t.co/VdePRTRYB4

[Tom Viering @TViering]

@Burevestnik0829 Hi! If you are from TU Delft I have BSc or MSc projects. If you are from abroad but Europe, we can look at Erasmus. Other options also possible. DM me for more info :)

[Tom Viering @TViering]

I will soon open up a PhD position for deep learning on learning curves. See here:
https://t.co/mqGdiWv7S0

Challenge: Developing deep meta-learning algorithms to model and understand learning curve patterns in machine learning.

Impact: Faster, better, more cost-efficient ML.

[TU Delft | AI Initiative @TUDelft_AI]

And one more new MOOC, by Hongrui Wang, Amira lnouty, Luca laurenti, Wendelin Bohmer and @TViering. Covers AI concepts of clustering, dimensionality reduction, and introduces you to reinforcement and deep learning. Starts May 16th, so enroll now! https://t.co/So21XxG6UU

[TU Delft | AI Initiative @TUDelft_AI]

New MOOC by @TViering and Hanne Kekkonen: learn the basics of (supervised) machine learning, e.g. various classification and regression machine learning algorithms to solve real-life problems with scikit-learn in Python. Starts May 16th, so enroll now!
https://t.co/ygfzZqfgnM

[Tom Viering @TViering]

@cwolferesearch Exactly in line with Halevy, A., Norvig, P., & Pereira, F. (2009). The unreasonable effectiveness of data. IEEE intelligent systems, 24(2), 8-12.

[Chirag Raman @chiragraman]

📢 #PhDposition! I have a vacancy @tudelft dealing with generating digital humans in social contexts. If you're interested in working at the intersection of multimodal ML, social cognition, and CV/graphics, this may be for you!

https://t.co/4l611VPNZs

#GenerativeAI #vacancy

[Tom Viering @TViering]

@rjbruin @CVPR I think it makes sense. The discussion should start at the beginning of the discussion period, not beforehand. This ensures all reviewers can take part in the discussion equally.

[Tom Viering @TViering]

@rjbruin @DrGroftehauge I think it may only be possible if your network is regularised (l2,l1, dropout) otherwise it cannot be the case due to a symmetry argument.

[Felix Mohr @felixmohr86]

We love learning curves! This is why we created #LCDB (https://t.co/Fh9TqgTppO), a database with API to LCs of 20 sklearn classifiers for 219 datasets, including pred. vectors for train/val/test folds. Check out @TViering's talk on the associated paper this Thursday at @ECMLPKDD.

[Tom Viering @TViering]

@rjbruin @MatthiasBethge @bethgelab Enjoy!!! Be sure to also enjoy the surroundings ;)

[Tom Viering @TViering]

@de_JQK @thegautamkamath @shortstein @icmlconf Thanks, will check!