Gergely Papp

41 posts

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Gergely Papp

Gergely Papp

@gergopool

Katılım Mayıs 2011
45 Takip Edilen9 Takipçiler
Nate Raw
Nate Raw@_nateraw·
Make a ML Engineer cry with just one screenshot. I'll go first
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Gergely Papp
Gergely Papp@gergopool·
@nucc @ELLISforEurope In some countries, yes. But some countries do allow pursuing a PhD with a BSc. Or at least this is what they say, it looks they don't actually mean it.
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Gergely Papp
Gergely Papp@gergopool·
Is a master degree really a must for a #PhD ? @ELLISforEurope advertised they accepted applicants with BSc only. BSc + 4 years of ML experience + NeurIPS publication was not enough to pass the very first round. Am I really THAT far from being a competition of MSc students?
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Gergely Papp
Gergely Papp@gergopool·
@mido_assran This paper to semi-supervised learning is a treasure. Not using labels directly for supervised training, but using them to provide a nice uniform distribution over the predictions instead. Very nice work! I wonder how far representation learning will go in the next few years.
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Gergely Papp
Gergely Papp@gergopool·
Visualizing and understanding InceptionV1's learning process on Celeb A dataset with lucid. I've used a StyleGan2 and gradient ascend to find out what a neural network thinks who's the most attractive generated human being. Here it is. #DeepLearning
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Asura Technologies
Asura Technologies@AsuraLPR·
First day @ #MIPS2019 for Asura is a hit! Time and time again it is our live demos of vehicle recognition using make and model recognition and #LPR all integrated into #Milestone XProtect drawing lots of interest and opportunities for new acquaintances. Getting ready for day 2!
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Arthur Juliani
Arthur Juliani@awjuliani·
Been experimenting with PPO+Curiosity on a more sparse-rewarding environment. Agent has to learn to press the button to spawn a pyramid, then knock the pyramid over to get the (+1 reward) gold brick. Vanilla PPO completely fails. PPO+Curiosity solves it. 🎉
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OpenAI
OpenAI@OpenAI·
Releasing Evolved Policy Gradients, an experimental metalearning technique to let agents rapidly learn to solve novel tasks: blog.openai.com/evolved-policy…
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Google DeepMind
Google DeepMind@GoogleDeepMind·
Kickstarting Deep Reinforcement Learning proposes a paradigm where 'teacher' agents help train 'student' agents. Benefits include faster research cycles and students that can surpass their teachers: arxiv.org/abs/1803.03835
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Chris (Simpsons artist)
Chris (Simpsons artist)@getbentsaggy·
goodbye stephen hawking now that the stars can finally meet you i think that they will be so proud that their atoms created someone quite as special and as brilliant as you xox
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Gergely Papp
Gergely Papp@gergopool·
My very first blog post. Yay ^^ Here I share my personal experience on #AlphaZero. @gergopool/my-experience-on-alphazero-2c2b146567d4" target="_blank" rel="nofollow noopener">medium.com/@gergopool/my-…
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