CDT in Data Science

EPSRC Centre for Doctoral Training in Data Science. Training PhDs in machine learning, databases, stats+opt, & analysis of unstructured data at Edinburgh Uni

[CDT in Data Science @EdiDataScience]

Congratulations Tom! The hard work pays off!

[Tom Sherborne @tomsherborne]

My PhD thesis "Modelling Cross-lingual Transfer For Semantic Parsing" is finally submitted! 🎉🎉🎉 #NLProc

[Sigrid Passano Hellan @sighellan]

Poster sessions are happening today! 11:40-1:20 and 5:00-5:30 today in room 208-210.

Come chat transfer learning for Gaussian processes and Bayesian optimisation 🌸

[Tom Sherborne @tomsherborne]

Do you love cross-lingual transfer?
Are you interested in putting latent variables everywhere you can?
Desperately searching for applied optimal transport research?

Come to my poster 16:00 in East Foyer! #EMNLP2023
https://t.co/ESNFGjJJVk
w/ @tomhosking + Mirella Lapata

[Tom Sherborne @tomsherborne]

🚨New TACL paper 🚨
Can we use explicit latent variable alignment for cross-lingual transfer? Minotaur uses optimal transport for explicit alignment across languages.

w/ @tomhosking, Mirella Lapata. 
To be presented @emnlpmeeting + @mrl2023 in-person 🇸🇬

https://t.co/PdoDPEIP97

[Sigrid Passano Hellan @sighellan]

Excited for the poster session this afternoon at @automl_conf! I'll be talking about hyperparameter optimisation for increasing data set sizes and learning between tasks.

Work with Huibin Shen, @FrancoisAubet, David Salinas and @kleiaaro #AutoML23

[CDT in Data Science @EdiDataScience]

@sillinuss presenting his best paper talk on domain adaptation at @automl_conf #AutoML23 🎉🎉🎉🎉

[Linus Ericsson @sillinuss]

Is domain adaptation ready for the use of automatic machine learning methods?

I’m presenting our paper “Better Practices for Domain Adaptation” in the @automl_conf in poster sessions today 16:00 and tomorrow 10:45, and giving a best paper talk today at 17:30!

#AutoML2023

[Ondrej Bohdal @OBohdal]

I'm really happy to share the news that Meta-Calibration has been accepted to TMLR! Meta-Calibration uses meta-learning as a new way to optimise for uncertainty calibration of neural networks. I've had a very positive experience with TMLR and certainly recommend submitting there!

[Asa Cooper Stickland @AsaCoopStick]

Life update: I have passed my PhD defense (@alexandrabirch1 and @licwu were excellent examiners), and moved to New York City!

Many thanks to everyone who made the PhD experience so fun, especially my CDT cohort, collaborators, and supervisor @driainmurray

[Ondrej Bohdal @OBohdal]

I'm very excited to be in Seoul to give a talk and present a poster about our CVPR'23 Meta Omnium paper at the Hyundai Vision Conference! Feel free to take a look at the poster and also a few photos from this great city! Meta Omnium website: https://t.co/EH0tpxR1yh

[Ondrej Bohdal @OBohdal]

Interested in what could be the long-term implications of deploying too many AI systems that are not fair? You can learn more in our paper - we've updated it on arXiv with the version that will appear soon in the proceedings of the Stanford Existential Risk Conference!

[CDT in Data Science @EdiDataScience]

- @sillinuss: Why Do Self-Supervised Models Transfer? On Data Augmentation and Feature Properties https://t.co/QYxO0tiKHh
- @sighellan: Bayesian Optimisation Against Climate Change: Applications and Benchmarks https://t.co/syIFsrq8jo
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[CDT in Data Science @EdiDataScience]

We've also got papers at ICML workshops 🌺🌺🌺
- Will Toner: Label Noise: Correcting a Correction Loss https://t.co/49eQ33ibDc
- @OBohdal: Impact of Noise on Calibration and Generalisation of Neural Networks https://t.co/jKi58HczE2
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[CDT in Data Science @EdiDataScience]

Cool work including CDT member Kate!

[Kavi Gupta @akavidemic]

6. Differentiable Tree Operations Promote Compositional Generalization

Really interesting program induction work! Need to look into it more to digest the details but I always like stuff that tries to respect tree structure

[Ondrej Bohdal @OBohdal]

Curious about how noise influences uncertainty calibration and generalisation of neural networks? We'll present our new work on this topic at the #ICML2023 SCIS workshop this Saturday! Collaboration with @MartinFerianc, @tmh31, @mrd_rodrigues

[CDT in Data Science @EdiDataScience]

- https://t.co/HB006mdLY8
- https://t.co/4p6acsFzjP

[CDT in Data Science @EdiDataScience]

The CDT has two papers at #ACL2023 this week thanks to @tomsherborne:
- Extrinsic Evaluation of Machine Translation Metrics: An outstanding paper! 🎉🎉🎉
- Meta-Learning a Cross-lingual Manifold for Semantic Parsing

[CDT in Data Science @EdiDataScience]

🎉🎉🎉

[Tom Sherborne @tomsherborne]

I’m also an outstanding reviewer! #ACL2023NLP

[CDT in Data Science @EdiDataScience]

Congratulations to CDT student Tom! 🎉🎉🎉

[Tom Sherborne @tomsherborne]

We won outstanding paper at @aclmeeting! Major thanks to my co-authors @nikita_moghe @alexandrabirch1 and Mark Steedman #ACL2023NLP #NLProc

[Tom Sherborne @tomsherborne]

I'll be at #ACL2023 next week with 2 papers:

⭐️Extrinsic Evaluation of Machine Translation Metrics (Main conf - Monday Session 2: MT Oral)

⭐️Meta-Learning a Cross-lingual Manifold for Semantic Parsing (TACL - Wednesday Session 7: Semantics)

Reach out if you want to say hello!