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We are releasing HiPlot, a lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data. https://ai.facebook.com/blog/hiplot-high-dimensional-interactive-plots-made-easy …pic.twitter.com/JckCuRpGsD
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ESP32-Paxcounter: Wi-Fi & BLE driven passenger flow metering with ESP32 boards.
https://github.com/cyberman54/ESP32-Paxcounter …
https://www.heise.de/select/make/2019/1/1551099236518668 …
#ESP32pic.twitter.com/m4UJlE93HD
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We're releasing mBART, a new seq2seq multilingual pretraining system for machine translation across 25 languages. It gives significant improvements for document-level translation and low-resource languages. Read our paper to learn more: https://arxiv.org/pdf/2001.08210.pdf …pic.twitter.com/tJbRcOTqik
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Facebook's AI Residency program, which gives residents 12 months of practical experience in AI working with leading researchers, is accepting applications until January 31st! Current residents Diana and Eric discuss their experience in this Q&A: https://ai.facebook.com/blog/qa-with-facebook-ai-residents-eric-mintun-and-diana-gonz%C3%A1lez/ …pic.twitter.com/wiNe0v9nA7
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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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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 -
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New lecture series
We've teamed up with @ai_ucl to bring you the#UCLxDeepMind Deep Learning Lecture Series: 12 lectures covering a range of topics in Deep Learning - all led by DeepMind researchers, all free, and all open to everyone. Info & tickets:https://www.eventbrite.co.uk/o/ucl-x-deepmind-deep-learning-lecture-series-general-29078980901 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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A toolbox to generate adversarial examples with zero coding, from Baidu. Works with TF, PyTorch, etc. Paper: https://arxiv.org/abs/2001.05574 Code: https://github.com/advboxes/AdvBox pic.twitter.com/a37dRfEiow
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We have open-sourced wav2letter@anywhere, an inference framework for online speech recognition that delivers state-of-the-art performance. https://ai.facebook.com/blog/online-speech-recognition-with-wav2letteranywhere/ …pic.twitter.com/9peZPbUNu4
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Train a neural network using
@TensorFlow and run it on@Avnet's Azure Sphere Starter Kit and an ESP32: http://bit.ly/2FFlOwg pic.twitter.com/5400BqQ3Iw
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We've achieved state-of-the-art results in Hanabi, a collaborative card game in which players must work together. We use a new real-time search method similar to the one used in Pluribus. https://ai.facebook.com/blog/building-ai-that-can-master-complex-cooperative-games-with-hidden-information/ …pic.twitter.com/CKD1dqHcPy
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CNX Software Jean-Luc Aufranc published an article based on our RISC-V experiment with QEMU and the mainline Linux kernel. This article starts a discussion about the possibility to run Linux on affordable RISC-V SoCs. https://www.cnx-software.com/2019/11/24/getting-started-with-embedded-linux-on-risc-v-in-qemu/ …pic.twitter.com/gcZbKGWS3K
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YOLOv3: An Incremental Improvement Old, but really struck by the writing. A glimpse of a mirror universe where scientific papers have a drastically different style. abs: https://arxiv.org/abs/1804.02767 site: https://pjreddie.com/darknet/yolo/ pic.twitter.com/PMduyLVafp
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Check out our extensive review paper on normalizing flows! This paper is the product of years of thinking about flows: it contains everything we know about them, and many new insights. With
@eric_nalisnick,@DeepSpiker,@shakir_za,@balajiln. http://arxiv.org/abs/1912.02762 Thread
https://twitter.com/DeepSpiker/status/1202868429780336640 …
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PyTorch Elastic for distributed elastic training — where nodes can join and leave during training — is now available as an experimental feature, along with ClassyVision, a new framework for large-scale training of image and video classification models:https://pytorch.org/blog/pytorch-adds-new-tools-and-libraries-welcomes-preferred-networks-to-its-community/ …
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Excited to share our work on Contrastive Learning of Structured World Models! C-SWMs learn object-factorized models & discover objects without supervision, using a simple loss inspired by work on graph embeddings Paper: http://arxiv.org/abs/1911.12247 Code: https://github.com/tkipf/c-swm 1/5pic.twitter.com/2n38bhOaKc
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Congratulations to the
#EMNLP2019 best paper award winners! 4/4 == Best Demo Paper Award == AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models https://allennlp.org/interpret Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer SinghHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Facebook AI is open-sourcing XLM-R, a multilingual model that uses self-supervised training to achieve state-of-the-art performance on four cross-lingual understanding benchmarks. https://ai.facebook.com/blog/-xlm-r-state-of-the-art-cross-lingual-understanding-through-self-supervision/ …pic.twitter.com/71XAMQeti6
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#NeurIPS2019 paper on Learning Neural Networks with Adaptive Regularization: https://arxiv.org/abs/1907.06288 More importantly, code: https://github.com/yaohungt/Adaptive-Regularization-Neural-Network … Slides: http://www.cs.cmu.edu/~hzhao1/papers/NIPS2019/adareg_slides.pdf … with@HanZhao_Keira, Hubert Tsai, Geoff Gordonhttps://twitter.com/HanZhao_Keira/status/1191029068608819200 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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We’ve achieved large-scale 3D reconstruction of nonrigid shapes on 3 benchmarks by interpreting 3D geometry using only 2D keypoints — without requiring 3D annotations. Read more: https://ai.facebook.com/blog/pushing-state-of-the-art-in-3d-content-understanding/ …. And we’ve made the code available here: https://github.com/facebookresearch/c3dpo_nrsfm …pic.twitter.com/MdNIxkqkDk
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