AI, Python, Cognitive Neuroscience
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If you were wondering how to select dimensionality of your word embeddings, this could be a solution:

https://lnkd.in/d4WKtwX

#NeurIPS2018

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talk at Interpretability and Robustness in Audio, Speech, and Language (IRASL) Workshop at NeurIPS2018 are now available online: "Deep Within-Class Covariance Analysis for Robust Deep Audio Representation Learning"

#neurips2018 #neurips #irasl

🌎 Link



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poster on "Leveraging machine intelligence on diagnosing UTI" at workshop in #NeurIPS2018.

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Thoughtful and succinct explanation about why NIPS was a problematic name for a machine learning conference -- from Jeff Dean ect. at the #neurips2018 workshop for critiquing and correcting trends in ML.

https://www.dropbox.com/s/sv9qcfnv42zbmib/CRACT_2018_paper_35.pdf?dl=0

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ICYMI — our poster on Latent Embedding Optimization (LEO) at the #NeurIPS2018 meta-Learning workshop earlier today. We combine a latent generative model of parameters with MAML in the latent space. Our paper demonstrates SOTA results on few-shot classification benchmarks.

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Slides from Pieter Abbeel's talk at #NeurIPS2018 workshop on RL under Partial Observability:

https://lnkd.in/eFHdb9d

#NeurIPS #ReinforcementLearning

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Excited to present practical fairness paper "Why is My Classifier Discriminatory?" at #NeurIPS2018

papers.nips.cc/paper/7613-why-is-my-classifier-discriminatory

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NeurIPS 2018 video talk collection #NeurIPS2018

https://buff.ly/2EaUFBC

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The AI art gallery from NeurIPS Creativity workshop

AI Art Gallery: http://aiartonline.com

#NeurIPS2018

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My 13-minute oral presentation at hashtag#NeurIPS2018 summarizing our world models paper. I felt like the weight of the world (model) was finally lifted off my shoulders after giving the talk.

article → https://lnkd.in/fa36JNH
paper → https://lnkd.in/gPjH_NJ


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Best paper award #NeurIPS2018 main idea: Defining a deep residual network as a continuously evolving system & instead of updating the hidden units layer by layer, define their derivative with respect to depth instead. Paper: https://arxiv.org/pdf/1806.07366.pdf … Code: https://github.com/rtqichen/torchdiffeq

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share white paper on Dopamine, #RL framework. got lots of positive feedback at #NeurIPS2018 ,

https://arxiv.org/abs/1812.06110 https://github.com/google/dopamine

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