Appropriate lunch spot for me at #NeurIPS2022 (although I'm not retired yet).
Really looking forward to a very full day of talks and posters at the #NeurIPS2022 workshop on Shared Visual Representations in Humans and Machine Intelligence starting shortly https://www.svrhm.com/schedule! I’m curious whether at the end of the day there will be consensus about the degree of ‘sharedness’, where there are still gaps, and how/if we could/should address those.
Boosting a paper that was presented a couple of days ago at #NeurIPS #NeurIPS2022: Natural gradient enables fast sampling in spiking neural networks. Led by Paul Masset and @jzv #neuroscience https://openreview.net/forum?id=Yopob26XjmL
Leaving SF for
New Orleans. Excited to go to #NeurIPS2022 for the first time!
You can catch me Friday at the "All things attention" workshop (https://attention-learning-workshop.github.io/), and Saturday at the "Gaze meets ML" workshop (https://gaze-meets-ml.github.io/gaze_ml_2022/).
Looking forward to seeing you there!
So many eager people at #NeurIPS2022 seeking to maximise attention for their iteration of AI, while the social effect is a gradient descent towards the transformations of algorithmic violence. We need an anti-fascist approach to artificial intelligence https://bristoluniversitypress.co.uk/resisting-ai
#NeurIPS Is doing something really wrong if everyone is tweeting links to the arXiv versions of their papers there. It's supposed to be this super prestigious conference yet no one wants their (ahem) archival version of their work to be associated with it?
Or maybe it's the researchers/research culture who are devaluing the actual contentful work, & the whole point is the performance of being at the conf/tweeting bc no one is going to pay attn to these papers next month anyway?