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Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
#ICLR2018 General purpose, fixed-length representations of sentences via multi-task training by@sandeep1337@APTrizzle ArXiv https://arxiv.org/abs/1804.00079 Github https://github.com/Maluuba/gensen pic.twitter.com/7le5BHPTGX
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Best paper award at
#ICML2018 main idea: identify a class of adversarial defenses, called "Obfuscated gradients", & develop attack techniques to thwart this defense. Circumvents 6 of 9 defenses presented at#ICLR2018. Paper: https://arxiv.org/pdf/1802.00420.pdf … Code:https://github.com/anishathalye/obfuscated-gradients … -
Curious about a new model of unsupervised hierarchical video prediction? Check out this work from Prof. Honglak Lee and collaborators
#ICLR2018 http://bit.ly/2kS8r16 pic.twitter.com/sD8laMH2Q8
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Accepted posters announced at the Open Day of the UPC Summer School on Deep Learning for Computer Vision. Come next and check posters from
#CVPR2018,#ICLR2018 &#ICASSP2018, just after the keynote talks by@lealtaixe and@kevinmcguinness .#DLUPC RSVP at https://www.eventbrite.com/e/upc-telecombcn-deep-learning-for-vision-open-lectures-tickets-46888336276 …pic.twitter.com/AiA0625JQQ
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Want to know how the problem of predicting the context in which a sentence appears can be reformulated as a classification problem? Here's an interesting reading for this week from Prof. Honglak Lee & PhD student Lajanugen Logeswaran
#ICLR2018#AI http://bit.ly/2t5oHAH pic.twitter.com/y5v1NoDRmd
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Michigan AI's Prof. Honglak Lee, together with his collaborators, took a look at the challenges of real-world machine learning applications and came up with a novel training method for classifiers for detecting out-of-distribution samples.
#ICLR2018 http://bit.ly/2JK6DSH pic.twitter.com/Jy1OKVqFnj
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Is
#AI leading us to a robo-apocalypse
? Fear not, says one of our engineers. Here's more on the current state of Artificial Intelligence http://ms.spr.ly/6010rNbNG #ICLR2018 pic.twitter.com/vllv6ptiKO
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Research Team Lead
@yanshuaicao has published a blog post about his#ICLR2018 paper on a Binarized Representation Entropy (BRE) regularizer to diversify learning signals in#GAN. Learn what he and his co-authors discovered:#AI#research http://borealisai.com/2018/06/11/a-binarized-representation-entropy-bre-regularizer-to-diversify-learning-signals-in-generative-adversarial-networks/ …pic.twitter.com/T7dKkhsFto
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@deeplearningldn : RT@chrisdonahuey: Best slide award?#ICLR2018 progressive GANs by Kerras et al. pic.twitter.com/vvGs1wmOV3#DeepLearning#MachineLearning#DataSciencepic.twitter.com/jJbcOQRSmN
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The Monthly Report is out. Here are the most trusted sources and publishers of the previous month in
#AI#ICLR2018#Law: https://buff.ly/2LylnEL -
The Monthly Report by Essentials filters only the news shared by trusted experts. Discover the topics discussed by a network of experts VS the global level of discussions in
#AI#ICLR2018#Law: https://buff.ly/2LylnEL -
Monthly Report by Essentials: Most discussed articles about
#ai: DeepMind papers at ICLR 2018 https://buff.ly/2Fywt9g#machinelearning#artificialintelligence#ICLR2018 via@DeepMindAI -
Monthly Report
@Miles_Brundage@PeterAsaro@j2bryson are the key influencers that mattered this month. Thank you for sharing your expertise with our readers! Discover more experts of the industry#AI#ICLR2018#Law : https://buff.ly/2LylnEL -
Who are the
#ai influencers that mattered the most last month? Check out our monthly report & discover the best experts in#AI#ICLR2018#Law https://buff.ly/2LylnEL pic.twitter.com/T3XuX9bdsa
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We just published the video of Víctor Campos
@vcampos7 presenting our#ICLR2018 paper "Skip RNN: Skipping State Updates in Recurrent Neural Networks" at@CVC_UAB https://youtu.be/rNjxeZHahVw via@YouTube -
#AI enthusiasts...if you missed the#ICLR2018 ...here are some detailed notes from an attendee who is also a practitioner http://noecasas.com/post/iclr2018/?utm_campaign=Revue%20newsletter&utm_medium=Newsletter&utm_source=NLP%20News …http://noecasas.com/post/iclr2018/?utm_campaign=Revue%20newsletter&utm_medium=Newsletter&utm_source=NLP%20News … -
#AI enthusiasts...if you missed the#ICLR2018 ...here are some detailed notes from an attendee who is also a practitioner http://noecasas.com/post/iclr2018/?utm_campaign=Revue%20newsletter&utm_medium=Newsletter&utm_source=NLP%20News … -
@DLAndMLApp : RT@NvidiaAI: Get a sneak peek at the work pushing the boundaries of technology from NVIDIA research, the chance for free online#deeplearning training, and our full list of poster sessions next week at#ICLR2018. Learn more: https://nvda.ws/2Ke3E5z …pic.twitter.com/b8l2vk60DJ
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Skipping and Repeating Samples in RNNs, my talk at
@insight_centre@DublinCityUni on our two#iclr2018 works, first authored by Víctor Campos@vcampos7 and Dani Fojo@DaniFojo8 .#DLUPC https://www.slideshare.net/xavigiro/skipping-and-repeating-samples-in-recurrent-neural-networks … SkipRNN https://imatge-upc.github.io/skiprnn-2017-telecombcn/ … RepeatRNN https://imatge-upc.github.io/danifojo-2018-repeatrnn/ …pic.twitter.com/tDZlEg19dv -
Some notes on my experiences at
#iclr2018, including a selection of amazing pieces of research presented there : http://noecasas.com/post/iclr2018/
লোড হতে বেশ কিছুক্ষণ সময় নিচ্ছে।
টুইটার তার ক্ষমতার বাইরে চলে গেছে বা কোনো সাময়িক সমস্যার সম্মুখীন হয়েছে আবার চেষ্টা করুন বা আরও তথ্যের জন্য টুইটারের স্থিতি দেখুন।