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Prikvačeni tweet
Style transfer without a specific style image. I minimize only the content loss from neural style transfer and directly optimize brushstrokes via backpropagation. In this case, "style" is an intrinsic property defined entirely by the artistic medium.pic.twitter.com/az6s2pIe1v
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I wish all papers came with a
@3blue1brown video for each equation I don't understandHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Reiichiro Nakano proslijedio/la je Tweet
Continuing to move the game forward
@KingJames. Much respect my brother
#33644Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Is trax/flax/stax the new tf.layers/tf.contrib.layers/tf.contrib.slim?https://twitter.com/hardmaru/status/1219088493583880192 …
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How to get into machine learning without a degree, alternatives to traditional education, building a portfolio, applying for ML jobs, interviews, getting into research, and indie research ideas. I had an ace chat with
@GGozzoli at@FloydHub_ . Enjoy!https://blog.floydhub.com/emils-story-as-a-self-taught-ai-researcher/ …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Some personal news: I moved to San Francisco and joined the OpenAI Fellows Program! Super excited to learn from all the amazing people here. It's a dream come true to be able to do machine learning full-time!pic.twitter.com/8Q07ComGUy
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One of my wonderful PhD students, Ghanimat Azdahri, was on the plane that crashed in Tehran this morning. Ghanimat was on her way back to
@uofg after visiting her family and traditional Indigenous territories in Iran over the December break. The students and I are in so much painpic.twitter.com/8aV76otPaP
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I concur with this blog post. Independent research is not a good experience. The psychological toll failures take on you (rejection, failed expts, getting scooped) are magnified N times without other people to share it with.https://twitter.com/andreas_madsen/status/1211329218619092993 …
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Reiichiro Nakano proslijedio/la je Tweet
Four examples of recent papers that make me believe the community as a whole could hugely benefit from following Joelle's suggestions: https://arxiv.org/abs/1802.10031 https://arxiv.org/abs/1811.02553 https://arxiv.org/abs/1908.02388 https://openreview.net/forum?id=r1etN1rtPB …
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At
#NeurIPS2019, talking to a guy from DeepMind about how I can't reproduce their results because it's so resource intensive. "It's not too bad actually, we only use 16 GPUs, it's not like we use a cluster of TPUs or anything."pic.twitter.com/jERJbjH1gQHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Vancouver was beautiful.
#NeurIPS2019Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Reiichiro Nakano proslijedio/la je Tweet
Neural Painter by
@reiinakano addresses the fact that human painters use brushstrokes, not pixels. What can we create (and learn!) if we impose these constraints? Lots of great examples on his website (https://reiinakano.com/ )#NeurIPS4Creativity#NeurIPS2019Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Reiichiro Nakano proslijedio/la je Tweet
PyTorch implementation of Neural Painters Cool talk by
@reiinakano at ML for creativity workshop. He released a new@PyTorch library and notebooks for others to easily play around with neural painter algorithms! https://github.com/reiinakano/neural-painters-pytorch … https://arxiv.org/abs/1904.08410 pic.twitter.com/Jcn5dG8PeF
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@reiinakano combines concepts from SPIRAL and World Models to create a sample-efficient way to train a neural network via VAE or GAN approaches to simulate painting programs#neurips19#neurips#Ai#art#creativity@NeurIPSConfpic.twitter.com/SWSEuRq3T2
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@SchmidhuberAI explaining why GANs are a special case of his 1990 work on unsupervised minimaxpic.twitter.com/Oh4DwhtiVV
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At the end he smiled and said "You guys have worn me out. It was great talking to all of you. It's nice to get a perspective of where the field is at." (from the person who basically invented the field) Then we took this selfie.pic.twitter.com/zNtKwFWfhz
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His top 5 most important problems in RL 1. Improving core RL algorithms. They should learn better. 2. State construction 3. Planning He couldn't remember the other two
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On evolution as a way to intelligence: "Evolution is evolution. Learning is learning. They're separate things. We don't need to go through evolution again to build a learning system"
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On causality: "I don't know what they're talking about. I don't understand it. All I know are MDPs. The world is an MDP."
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On theoretical guarantees: "I don't care about theoretical guarantees. Show me the empirical results. Throw the chicken into the engine" Presumably referencing the chicken gun used to fire chickens to test a jet engine's robustness https://en.wikipedia.org/wiki/Chicken_gun …
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Today I had the opportunity to listen to Rich Sutton as he spoke to a few of us at the
#NeurIPS2019 RL Social. He was incredibly nice and humble, patiently listening to all questions and responding thoughtfully. Very short thread of his insights (sadly I arrived quite late)Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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