João Marcos Cardoso da Silva @joaomarcos_cs

Undergratuate Computer Science student at Universidade de São Paulo (Brazil). Interested in Self-Supervised Learning, Information Theory and Bioacoustics Joined October 2015

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Kevin Patrick Murphy @sirbayes

4 years ago

I am delighted to announce that a draft of my latest book, “Probabilistic Machine Learning: Advanced Topics”, is now available online at probml.ai. It covers #DeepGenerativeModels, #BayesianInference, #Causality, #ReinforcementLearning, #DistributionShift, etc.

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Erica Weng @ericaxweng

4 years ago

PhD application season yet again... I wrote a SoP how-to-guide / template for anyone who doesn't know where to start. I'm continuously adding to it new example quotes from the SoPs I review. hope it helps! tinyurl.com/phd-sop-tips

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data @data_icmc

4 years ago

Viemos aqui anunciar o mais novo evento aberto para todos organizado pelo Data - MLadies: Mulheres em Machine Learning 🚀 Segue o fio para saber mais ⬇️

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Chaitanya K. Joshi @chaitjo

4 years ago

Are you applying for a PhD in Machine Learning, Artificial Intelligence, and beyond? Here's a thread of high-quality resources that helped me understand the process + craft my application better. 👇

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AK @_akhaliq

4 years ago

Towards Generative Video Compression pdf: arxiv.org/pdf/2107.12038… abs: arxiv.org/abs/2107.12038 a neural video compression method based on GANs that outperforms previous neural video compression methods and is comparable to HEVC in a user study

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Daniel Severo @_dsevero

4 years ago

We've found a way to save bits during compression by forgetting the order between examples in a dataset. No machine learning required! github.com/facebookresear… arxiv.org/abs/2107.09202 Authors: @_j_towns (eq contr) A. Khisti @AliMakhzani @karen_ullrich 1/6

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data @data_icmc

4 years ago

Fica o convite especial a todos os brasileiros interessados em ML/DL. É o encerramento da nossa série de seminários que estamos organizando há 10 semanas, por isso preparamos um painel com pesquisadores incríveis! Nos vemos na sexta-feira as 11 horas! 🇧🇷🧠

data @data_icmc

4 years ago

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data @data_icmc

4 years ago

Starting in a few minutes the last lecture of our Understanding Deep Learning Lecture series about Learning Functors using Gradient Descent, presented by @bgavran3 : youtube.com/watch?v=SQqzs3…

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Timo Schick @timo_schick

5 years ago

🎉 Happy to share that "It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners" (w/@HinrichSchuetze) has been accepted to #NAACL2021 #NLProc 🥳 📷 Camera-ready: arxiv.org/abs/2009.07118 🖥️ Code: github.com/timoschick/pet 📝 Blog: timoschick.com/explanatory%20…

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Gustavo Sutter @suttergustavo

5 years ago

I'm thrilled to announce this seminar series organized by @data_icmc! Every week a researcher will give lecture on the theory behind the power of deep neural nets. In addition, we'll also have weekly pre-lectures in Portuguese to help students with foundations of each lecture!

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AK @_akhaliq

5 years ago

NeRF-VAE: A Geometry Aware 3D Scene Generative Model pdf: arxiv.org/pdf/2104.00587… abs: arxiv.org/abs/2104.00587 "NeRF-VAE is able to infer and render geometrically-consistent scenes from previously unseen 3D environments using very few input images"