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Krishna D N proslijedio/la je Tweet
I've always been fascinated by Bayesian Nonparametrics. I struggled to grasp those ideas directly from papers. Today, by chance, I found the best (imo) single reference for anyone interested: A gentle introduction by
@yeewhye and Michael Jordan http://www.stats.ox.ac.uk/~teh/outbox/jordan-teh.pdf …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Krishna D N proslijedio/la je Tweet
OpenL3 v0.3.0 is out! Now with audio AND image embeddings, video file processing, and batch processing. Just run "pip install openl3" to try it out (requires
#TensorFlow).#opensciencehttp://www.justinsalamon.com/news/compute-deep-image-audio-embeddings-with-openl3 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Krishna D N proslijedio/la je Tweet
I am thrilled to announce our paper “Feedback Recurrent AutoEncoder” was accepted at
#ICASSP2020! collaboration with Yang Yang,@TacoCohen and Jon Ryu. https://arxiv.org/abs/1911.04018 . A quick thread.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
I am very excited to announce that our paper "LANGUAGE INDEPENDENT GENDER IDENTIFICATION FROM RAW WAVEFORM USING MULTI-SCALE CONVOLUTIONAL NEURAL NETWORKS" has been accepted at
#ICASSP2020Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Krishna D N proslijedio/la je Tweet
BayesNet: A library for drawing Bayesian networks, graphical models and directed factor graphs in LaTeX. https://github.com/jluttine/tikz-bayesnet …pic.twitter.com/smL25Ahty2
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Krishna D N proslijedio/la je Tweet
OpenMined +
@PyTorch collaborating to advance open source software development. Learn about these talented teams on our blog: https://blog.openmined.org/pytorch-grant-recipients … Many opportunities ahead. Join our Slack community to find out more!Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Krishna D N proslijedio/la je Tweet
You got a bunch of GPU machines and are wondering which GPUs are still free? I used to ssh into the list of machines and checked manually until I built a small dashboard to show me: https://github.com/pawni/gpuobserver … I thought other people might have the same problem..pic.twitter.com/WQBzVFQbs2
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Krishna D N proslijedio/la je Tweet
FixMatch: focusing on simplicity for semi-supervised learning and improving state of the art (CIFAR 94.9% with 250 labels, 88.6% with 40). https://arxiv.org/abs/2001.07685 Collaboration with Kihyuk Sohn,
@chunliang_tw@ZizhaoZhang Nicholas Carlini@ekindogus@Han_Zhang_@colinraffelpic.twitter.com/BmeYvpEHzX
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Checkout my new tutorial of the paper " Multi-source domain adaptation for text classification via DistanceNet-Bandits "https://youtu.be/6JjVPOOcpt4
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Checkout my new tutorial of the paper " H-vectors: Utterance level speaker embeddings using Hierarchical attention model"https://youtu.be/JxMcx9YUKM0
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Krishna D N proslijedio/la je Tweet
https://arxiv.org/abs/2001.05140 I'm pretty confused. with this level of details, they have presumably run some experiments already to be certain about this approach, and somehow couldn't wait a couple of weeks to put results in the manuscript.
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Krishna D N proslijedio/la je Tweet
Super fast and online speech recognition with time-depth separable convolutions from FAIR: https://ai.facebook.com/blog/online-speech-recognition-with-wav2letteranywhere/ …pic.twitter.com/h6fy0CeoO8
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Krishna D N proslijedio/la je Tweet
10 ML & NLP Research Highlights of 2019 New blog post on ten ML and NLP research directions that I found exciting and impactful in 2019. https://ruder.io/research-highlights-2019/ …pic.twitter.com/mPoKbkOcOW
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Krishna D N proslijedio/la je Tweet
Read my latest blog post detailing recent events around naming of
#quantumsupremacy and parallels it shares with#neurips name change. Also cluelessness of privileged men like@sapinker and Aaronson https://anima-ai.org/2019/12/26/quantum-supremacy-the-neo-nazis/ … Happy holidays!pic.twitter.com/LsV16r7qd1
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New tutorial of the paper " Minimum Bayes risk training of RNN transducer for end to end speech recognition"https://youtu.be/DUVC_4LBHf4
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Krishna D N proslijedio/la je Tweet
I had a great time at the
#NeurIPS2019 Bayesian Deep Learning Workshop! My talk on "Using Loss Surface Geometry for Practical Bayesian Deep Learning" starts at 6m40s:https://slideslive.com/38921875/bayesian-deep-learning-2 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Krishna D N proslijedio/la je Tweet
Hochreiter & Schmidhuber

Two decades after the LSTM paper
#NeurIPS2019pic.twitter.com/DRODONkXAg
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Krishna D N proslijedio/la je Tweet
Come and see @oxcsmls wonderful
@MathieuEmile and@charlinelelan present their fantastic work on Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders, poster 109. Work completed with@cjmaddison@Ryoka@yeewhyepic.twitter.com/4eArerp4Op
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Krishna D N proslijedio/la je Tweet
Exact Gaussian processes on more than a million points, now in under 2 hours! Works in general settings. Our new
#NeurIPS2019 paper, with@KAlexanderWang, G. Pleiss, J. Gardner, S. Tyree, K. Weinberger, tomorrow 5:00-7:00 PM East Exhibition Hall B+C #169. https://arxiv.org/abs/1903.08114 pic.twitter.com/QcasFezKdA
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Krishna D N proslijedio/la je Tweet
Unsupervised pre-training now outperforms supervised learning on ImageNet for any data regime (see figure) and also for transfer learning to Pascal VOC object detection https://arxiv.org/abs/1905.09272v2 …pic.twitter.com/cciL5Db73x
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