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Prikvačeni tweet
We show large language models trained on massive text corpora (LM1b, CommonCrawl, Gutenberg) can be used for commonsense reasoning and obtain SOTA on Winograd Schema Challenge. Paper at http://arxiv.org/abs/1806.02847 , results reproducible at https://git.io/vhaaf pic.twitter.com/s3uyrksAQz
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Trieu H. Trinh proslijedio/la je Tweet
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!" https://youtu.be/STrrlLG15OY#100DaysOfMLCodeHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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.https://twitter.com/kcimc/status/1222378902821068800 …
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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: https://arxiv.org/abs/2001.09977 Sample conversations: https://github.com/google-research/google-research/tree/master/meena … https://twitter.com/GoogleAI/status/1222230622355087360 …pic.twitter.com/3xNSV4r4uB
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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 ishttps://slatestarcodex.com/2020/01/06/a-very-unlikely-chess-game/ …
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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
http://ow.ly/CMwk50xMRAS pic.twitter.com/FKshWydDab
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Trieu H. Trinh proslijedio/la je Tweet
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.https://medium.com/@andreas_madsen/becoming-an-independent-researcher-and-getting-published-in-iclr-with-spotlight-c93ef0b39b8b?source=friends_link&sk=d930cb061089bb4428f1e6ef06958662 …
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Extremely balanced external blog post about our Rubik’s cube results:https://www.alexirpan.com/2019/10/29/openai-rubiks.html …
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Trieu H. Trinh proslijedio/la je TweetHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Trieu H. Trinh proslijedio/la je Tweet
"My favorite Gary Marcus quote", via Geoffrey Hinton:) http://www.cs.toronto.edu/~hinton/marcusquote.html …
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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. https://arxiv.org/abs/1910.02720 pic.twitter.com/6uPAD9asgv
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Trieu H. Trinh proslijedio/la je Tweet
Jurgen Schmidhuber really had GANs in 1990https://www.reddit.com/r/MachineLearning/comments/djju8a/d_jurgen_schmidhuber_really_had_gans_in_1990/ …
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Trieu H. Trinh proslijedio/la je Tweet
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: https://openai.com/blog/solving-rubiks-cube/ …pic.twitter.com/8lGhU2pPck
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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: http://arxiv.org/pdf/1909.11851v1 …
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Trieu H. Trinh proslijedio/la je Tweet
Really enjoyed the (non OpenAI) ICLR submission https://openreview.net/pdf?id=S1eZYeHFDS … 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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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 https://arxiv.org/abs/1503.02531 2/3 said "1: This work is incremental and unlikely to have much impact"Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Trieu H. Trinh proslijedio/la je Tweet
Making the Invisible Visible: Action Recognition Through Walls and Occlusions pdf: https://arxiv.org/pdf/1909.09300.pdf … abs: https://arxiv.org/abs/1909.09300 pic.twitter.com/aMmX3JlNwo
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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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Trieu H. Trinh proslijedio/la je Tweet
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:https://openai.com/blog/emergent-tool-use …
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Trieu H. Trinh proslijedio/la je Tweet
“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.” https://www.goodreads.com/work/quotes/18962767-itsur-toldot-ha-enoshut …https://twitter.com/harari_yuval/status/1169241997271609344 …
0:47Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Trieu H. Trinh proslijedio/la je Tweet
Come work with us! Google is now accepting applications for the 2020 AI Residency Program, Healthcare! Head to http://g.co/airesidency/healthcare … for more details about the program. Applications close on Sept 17th, 2019! Questions? Go to http://g.co/airesidency/healthcarefaqs …
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