#neurips2022 — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #neurips2022, aggregated by home.social.
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I am happy to say that our paper was accepted at #neurips2022 and we released not 1, not 2, but 6 companion datasets!🎉
The paper, "Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation" presents a suite of datasets to evaluate ML fairness.😎
We are releasing these datasets because the normally currently used datasets to test ML fairness are small (less than 50k rows), are old (e.g., the frequently used "UCI Adult" is from 1994), or have documentation issues or data leakage.
On the contrary, our datasets are realistic, large (1 million rows), contain 5 different types of biases, have real-world properties (imbalanced, time shifts), and are privacy-preserving (via GANs, Laplacian noise, and filters and transformations).
Paper, datasets, datasheets, and code are available at:
https://lnkd.in/ddDm4Y64Thank you co-authors Sérgio Jesus, José Maria Pombal, Duarte Alves, André Cruz, Pedro Saleiro, Rita P. Ribeiro, and Joao Gama, in another collaboration between Feedzai and Universidade do Porto.
Thank you also to colleagues and helping friends João Veiga, Joao Bravo, Catarina Belém, and Bruno Cabral and to sponsoring agency ANI - Agência Nacional de Inovação and Carnegie Mellon Portugal Program.
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I am presenting this poster at #neurips2022 at the #mlsb workshop. If you are here, you are probably already interested in #MachineLearning. If you are also interested in #PolymerPhysics and #chromosome #structures, come check it out. #3dgenome #deeplearning
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#Newpaper: Our work for #nlproc on segmenting conversational data is now out on @NeuripsConf (#ENLSP)
We find that reusing pre-trained feature hierarchy in a #transferlearning paradigm proves to be ineffective for topic segmentation tasks on chat data.
Topic Segmentation in the Wild:Towards Segmentation of Semi-structured & Unstructured Chats w. Harjeet S, Sharanya K, Dhuri S, Samyadeep B, Soundar S, #Umass #Microsoft
📝Paper: https://arxiv.org/abs/2211.14954Please DM to meetup @ #NeurIPS2022 :)
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👋 This is my first time attending @NeuripsConf (virtually to reduce carbon emissions).
On Friday I'll join the workshop "Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems," where we have a paper, poster, and lightning talk on GPs for modeling #paleoclimate.
If you're attending and want to chat about #GaussianProcesses, probabilistic programming (#ProbProg), or @ArviZ, ping me!
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1/10) Can we find a label-free model selection algorithm in Self-supervised learning (#SSL) for #vision?
Our #NeurIPS2022 paper, α-ReQ, presents just such an #algorithm based on the structure of #representations in the #neocortex!
This is work w/ Kumar Agrawal (#Berkeley), Arnab Kumar Mondal and Arna Ghosh (#McGill/#Mila). 🧵
paper: https://openreview.net/forum?id=ii9X4vtZGTZ
blog: https://people.eecs.berkeley.edu/~krishna/blog/nn/ssl.html -
Presenting a poster in NewInML this afternoon at Sorbonne Center for Artificial Intelligence in Paris.
I am trying out the style of online poster advocated by @mikemorrison
Feedback appreciated :blobthanks:
📄 https://solalnathan.com/Baylearn_2022.pdf
#MastodonPoster #Poster #BetterPoster #NewInML #NeurIPS2022 #NeurIPS
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👋 A lot of my colleagues are heading to #NeurIPS2022. Do drop by the #DeepMind and #IsomorphicLabs booth to chat about research + job opportunities!
Latest DeepMind research at NeurIPS: https://www.deepmind.com/blog/deepminds-latest-research-at-neurips-2022
Pic from: Max Jaderberg, ML Dir, Isomorphic Labs
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I will be at #NewInML in #Paris the #NeurIPS2022 Workshop. Will be presenting a poster.
It will be on Monday (Nov 28th).
I hope to meet some interesting people there!