Mastodawn

Tom Joy Feb 7, 2023

Sometimes I feel like I'm unearthing a treasure trove of information from the past, then I just realise I'm reading a CVPR paper from 2008

Tom Joy Jan 26, 2023

Yuge (Jimmy) Shi Jan 23, 2023

How robust are unsupervised representation learning methods (e.g. SSL) to distirbution shift compared to supervised learning?

𝐒𝐡𝐨𝐫𝐭 𝐚𝐧𝐬𝐰𝐞𝐫: Quite!
𝐋𝐨𝐧𝐠 𝐚𝐧𝐬𝐰𝐞𝐫: Our #ICLR2023 paper http://arxiv.org/pdf/2206.08871.pdf

Joint work with Imant Daunhawer & Amartya Sanyal @amartya

Show thread

Tom Joy Jan 6, 2023

@eric_brachmann very true, I guess there are some examples when it's appropriate, but I think these are edge cases

Tom Joy Jan 5, 2023

Just finalising reviews for CVPR, what are peoples thoughts about seeing MNIST in the main paper? Red flag imo

Show thread

Tom Joy Dec 22, 2022

@jarartur that's more like it? What book?

Show thread

Tom Joy Dec 22, 2022

@the_heruman Why do people set these deadlines? I have a AAAI video due on the 3rd Jan, I just don't get the motivation

Tom Joy Dec 22, 2022

It's almost that time of year when everyone starts mentioning how many papers they're going to read over Christmas, how many are you aiming for? I'm going to be reading a big fat 0

Tom Joy Dec 20, 2022

Yuge (Jimmy) Shi Dec 20, 2022

RT @[email protected]

Is having multiple modalities a blessing or a curse? What is a good representation? Let's find out together!
We are proud to announce the 1st hybrid workshop on Multimodal Representation Learning at ICLR2023 🚀

More info: https://mrl-workshop.github.io/iclr-2023/
Organisers: Miguel Vasco, Adrian Javaloy, Imant Daunhawer, Petra Poklukar, Isabel Valera, Danica Kragic, Yuge Shi

Home

First Workshop on Multimodal Representation Learning (ICLR 2023)

Tom Joy Nov 25, 2022

What's your favourite seed? 👀

Show thread

Tom Joy Nov 25, 2022

@kristinmbranson sounds like you've converged, i would think unpredictability in how you code is undesirable!