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Trieu H. Trinh
@
thtrieu_
Mountain View
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@GoogleBrain Resident 2017-2019
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135
Tweetovi
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160
Pratim
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605
Osobe koje vas prate
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Connor Shorten
@CShorten30
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29. sij |
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This video explains @GoogleAI 's amazing new Meena chatbot! An Evolved Transformer with 2.6B parameters on 341 GB / 40B words of conversation data to achieves remarkable chatbot performance!
"Horses go to Hayvard!"
youtu.be/STrrlLG15OY
#100DaysOfMLCode
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Trieu H. Trinh
@thtrieu_
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29. sij |
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Had the chance to sit next to Daniel @xpearhead in the early days of the project and tried out the interactive Meena. It has always been *this* surprising and funny :) BIG Congrats to the team with this publication. The possibilities to build up from here is endless. twitter.com/kcimc/status/1…
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Thang Luong
@lmthang
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28. sij |
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Introducing #MeenaBot, a 2.6B-param open-domain chatbot with near-human quality. Remarkably, we show strong correlation between perplexity & humanlikeness!
Paper: arxiv.org/abs/2001.09977
Sample conversations: github.com/google-researc… twitter.com/GoogleAI/statu… pic.twitter.com/3xNSV4r4uB
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Tom Chivers
@TomChivers
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7. sij |
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this is absolutely nuts. The AI GPT-2 has learned to play chess moderately well (able to give bad human amateurs a game) – despite only being a text AI, learning from a corpus of chess notation text, and not having any concept of what a chessboard is slatestarcodex.com/2020/01/06/a-v…
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Kaggle
@kaggle
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3. sij |
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We’re excited to announce a beta-version of a brand-new type of ML competition called Simulations!
Compete against a set of rules, rather than against an evaluation metric. 👀 Give it a try today 👉 ow.ly/CMwk50xMRAS pic.twitter.com/FKshWydDab
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Andreas Madsen
@andreas_madsen
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29. pro |
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After getting published in ICLR as an Independent Researcher, I have received nearly 100 messages from others who are looking to do the same. So I wrote a blog post on why I decided to do it and my advice to others. medium.com/@andreas_madse…
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Wojciech Zaremba
@woj_zaremba
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30. lis |
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Extremely balanced external blog post about our Rubik’s cube results: alexirpan.com/2019/10/29/ope…
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roadrunner01
@ak92501
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27. lis |
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more videos from Few-shot Video-to-Video Synthesis paper pic.twitter.com/xrD9eCmuIQ
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Russ Salakhutdinov
@rsalakhu
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24. lis |
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"My favorite Gary Marcus quote", via Geoffrey Hinton:)
cs.toronto.edu/~hinton/marcus…
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DeepMind
@DeepMind
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21. lis |
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Our new work on memory uses a neural network's weights as fast and compressive associative storage. Reading from the memory is performed by approximate minimisation of the energy modelled by the network. arxiv.org/abs/1910.02720 pic.twitter.com/6uPAD9asgv
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/MachineLearning
@slashML
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18. lis |
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Jurgen Schmidhuber really had GANs in 1990 reddit.com/r/MachineLearn…
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OpenAI
@OpenAI
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15. lis |
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We've trained an AI system to solve the Rubik's Cube with a human-like robot hand.
This is an unprecedented level of dexterity for a robot, and is hard even for humans to do.
The system trains in an imperfect simulation and quickly adapts to reality: openai.com/blog/solving-r… pic.twitter.com/8lGhU2pPck
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Christian Szegedy
@ChrSzegedy
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27. ruj |
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Approximate mathematical reasoning is possible in the latent space alone. We created semantic embedding of formulas and performed complicated multi-step reasoning on them, then we compared it with the symbolic results: arxiv.org/pdf/1909.11851…
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Ilya Sutskever
@ilyasut
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26. ruj |
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Really enjoyed the (non OpenAI) ICLR submission openreview.net/pdf?id=S1eZYeH… that trained a transformer on symbolic math. The surprise: it beat Mathematica on symbolic integration and diff eq solving by a _very_ big margin!
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Jeff Dean
@JeffDean
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25. ruj |
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No opinion on favorite or not, but this paper @geoffreyhinton, @OriolVinyalsML, & I submitted to NeurIPS'14 was rejected (~2K citations):
Distilling the Knowledge in a Neural Network
arxiv.org/abs/1503.02531
2/3 said "1: This work is incremental and unlikely to have much impact"
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roadrunner01
@ak92501
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23. ruj |
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Making the Invisible Visible: Action Recognition Through Walls and Occlusions
pdf: arxiv.org/pdf/1909.09300…
abs: arxiv.org/abs/1909.09300 pic.twitter.com/aMmX3JlNwo
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Ben Recht
@beenwrekt
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15. velj |
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Takeway 1: It’s fine to build giant models that suck tons of information out of a holdout set. It’s really hard to overfit in our standard ML paradigm. (7/10)
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OpenAI
@OpenAI
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17. ruj |
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We've observed AIs discovering complex tool use while competing in a simple game of hide-and-seek. They develop a series of six distinct strategies and counterstrategies, ultimately using tools in the environment to break our simulated physics: openai.com/blog/emergent-…
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hardmaru
@hardmaru
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13. ruj |
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“Sapiens” is a timeless masterpiece. Worth reading this book more than once. Some memorable quotes:
“There are no gods, no nations, no money and no human rights, except in our collective imagination.”
“Our language evolved as a way of gossiping.”
goodreads.com/work/quotes/18… twitter.com/harari_yuval/s…
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Andrew M. Dai
@iamandrewdai
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11. ruj |
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Come work with us! Google is now accepting applications for the 2020 AI Residency Program, Healthcare! Head to g.co/airesidency/he… for more details about the program. Applications close on Sept 17th, 2019!
Questions? Go to g.co/airesidency/he…
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