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Congrats "Understanding Deep Learning Requires Rethinking Generalization" for
#ICLR best paper award! Schedule: http://www.iclr.cc/doku.php?id=iclr2017:schedule … -
2/2
#ICLR Short answer: If you're an algorithm designer, don't quit your day job yet; but don't get too comfortable. Paper: A new dog learns old tricks: RL finds classic optimization algorithms (with William Kong, Chris Liaw, and Aranyak Mehta) (PDF) https://openreview.net/pdf?id=rkluJ2R9KQ …Prikaži ovu nit -
Our new paper, Hierarchical Density Order Embeddings, is appearing at
#ICLR 2018 (with code)! https://arxiv.org/abs/1804.09843 We learn hierarchical representations of concepts using encapsulation of probability densities.pic.twitter.com/EJW0jTtxRL
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Camera-ready papers for the
#ICLR SafeML workshop are now available! Check them out here: https://sites.google.com/corp/view/safeml-iclr2019/accepted-papers … -
Congrats "Making Neural Programming Architectures Generalize via Recursion" for
#ICLR best paper award! Schedule: http://www.iclr.cc/doku.php?id=iclr2017:schedule … -
Machine learning excels at finding correlations in data, but causation is a big open research question. At
#ICLR this week, we laid out a new framework for better understanding cause and effect within#AI.https://www.technologyreview.com/s/613502/deep-learning-could-reveal-why-the-world-works-the-way-it-does/ … -
YES! "Quantitively Evaluating GANs with divergence proposed for training" got accepted at ICLR. See you soon!
#ICLR@ICLR18 https://openreview.net/pdf?id=SJQHjzZ0- … -
Our "Simplified Action Decoder" (https://openreview.net/forum?id=B1xm3RVtwB …, w/ Hengyuan Hu), current SOTA for RL(w/o search) on 2-5 player Hanabi
will be #ICLR spotlight! The code, https://github.com/facebookresearch/hanabi_sad …, includes trained agents and fast Pytorch version of R2D2&Ape-x
https://github.com/facebookresearch/rela …
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If you like ML and math, and would like to do a postdoc at MILA, reach out to me. If you're at
#ICLR, let's talk in person! -
How can RL agents learn to learn online? Deep online learning via meta-learning, presented by Anusha Nagabandi and
@chelseabfinn right now at#ICLR, meta-learning to learn online adaptation for model-based RL with MAML and Bayesian non-parametrics! pic.twitter.com/jGK0Ae6C8R
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Google code reckons it's smarter than airlines, AI funding, and lots more https://www.theregister.co.uk/2018/02/03/ai_roundup/ … via
@theregister#ICLR#AI#OpenAI#Google#IBM#NVIDIA#Volta#SoftBank@Sequoia@GreylockVC#Electricity#Innovation -
People jumping onto
#ICLR papers last minute to try to grab that coauthorship be like pic.twitter.com/MxamjHVCnjPrikaži ovu nit -
Excited to share that our paper "Semi-Supervised Generative Modeling for Controllable Speech Synthesis" got accepted at
#ICLR2020#ICLR paper: https://openreview.net/forum?id=rJeqeCEtvH … demo: https://google.github.io/tacotron/publications/semisupervised_generative_modeling_for_controllable_speech_synthesis/index.html …Prikaži ovu nit -
2/3
#ICLR best papers are from@GoogleBrain. Neural architecture search by Zoph & Le could have been the 3rd! http://www.iclr.cc/doku.php?id=iclr2017:schedule …https://twitter.com/iclr2017/status/834850481885347840 … -
Have you heard of "RL as Inference"? https://arxiv.org/pdf/1805.00909.pdf … ... you might be surprised that this framing completely ignores the role of uncertainty! (confusing, since it talks a lot about "posteriors") Our
#ICLR spotlight tries to make sense of this: https://openreview.net/forum?id=S1xitgHtvS …pic.twitter.com/tOxMnBiRvO
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Moore's law of deep learning:
#ICLR doubles in size every year. (2017: 430 submissions; 2018: 935.) -
Happy to share that our paper "Batch-shaping for learning conditional channel gated networks" has been accepted at
#ICLR2020#ICLR Paper: https://openreview.net/forum?id=Bke89JBtvB … Joint work with@TiRune &@wellingmax -
This year's
#ICLR livestream is so much better than previous years, and I can watch workshop talks live

https://slideslive.com/iclr Prikaži ovu nit -
Can Neural Networks Understand Logical Entailment?
#ICLR 2018 By@egrefen@LittleBimble https://openreview.net/forum?id=SkZxCk-0Z …#MachineLearningpic.twitter.com/VGGMkbtEGd
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I highly recommend Deep Learning practitioners to read the best paper of
#ICLR 2019. Their proposed algorithm can save you a tremendous amount of time and money on training Neural Networks! Paper: https://openreview.net/forum?id=rJl-b3RcF7 …#DeepLearning#ArtificialIntelligencepic.twitter.com/RXUNFdqA2L
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