J. Schmidhuber really had GANs in 1990. posted on 2017-03-21:. Let me plagiarize what I wrote earlier [1,2]: While a problem solver is interacting with the world, it should store the entire raw history of actions and sensory observations including reward signals. Partial justification of this belief: (a) there already exist blueprints of universal problem solvers developed in my lab, in the new millennium, which are theoretically optimal in some abstract sense although they consist of just a few formulas (http://people.idsia.ch/~juergen/unilearn.html, http://people.idsia.ch/~juergen/goedelmachine.html). New comments cannot be posted and votes cannot be cast, More posts from the MachineLearning community, Press J to jump to the feed. The commercially less advanced but more general reinforcement learning department will see significant progress in RNN-driven adaptive robots in partially observable environments. He has published 333 peer-reviewed papers, earned seven best paper/best video awards, and is recipient of the 2013 Helmholtz Award of the International Neural Networks Society. Dr.Schmidhuber, “Deep Learning Conspiracy” (Nature 521 p 436) Though the contributions of Lecun, Bengio and Hinton to deep learning cannot be disputed, they are accused of inflating a citation bubble. Many are using that. Jawad Nagi, Frederick Ducatelle, Gianni A. Does that sound right or am I missing something? To conclude: Jürgen Schmidhuber is a Deep Learning pioneer worth of having received the Turing award along with Hinton, LeCun, and Bengio. view refined list in records. The machine learning community itself profits from proper credit assignment to its members. Jürgen Schmidhuber is an informatician renowned for his work on artificial intelligence, ... Good www.reddit.com Since age 15 or so, Jürgen Schmidhuber's main scientific ambition has been to build an optimal scientist through self-improving Artificial Intelligence (AI), then retire. Sjoerd van Steenkiste, Michael Chang, Klaus Greff, Jürgen Schmidhuber: Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions. Learning to generate focus trajectories for attentive vision. Since 2009 he has been member of the European Academy of Sciences and Arts. Training Agents using Upside-Down Reinforcement Learning. Deep Learning (RNN) talk by Jürgen Schmidhuber. 36 (6): 9737-9742 (2009) Jan 5: Interview in H+ Magazine: Build Optimal Scientist, Then Retire. Another interviewee jokes that AI is being developed by a number of firms and a handful of governments for 3 functions – “killing, spying and brainwashing” and the movie then briskly rattles via the worst-case eventualities dealing with human civilisation. hide. For example, recently Marijn Stollenga and Jonathan Masci programmed a CNN with feedback connections that learned to control an internal spotlight of attention. Brains may have enough storage capacity to store 100 years of lifetime at reasonable resolution [1]. Here an agent contains two artificial neural networks, Net1 and Net2. I must admit that I am not a big fan of Tononi's theory. Highlights. Schmidhuber writes up a critique of Hinton receiving the Honda Price... AND HINTON REPLIES! The forget gates (which are fast weights) are very important for modern LSTM. 5, No. José David Martín-Guerrero, Faustino J. Gomez, Emilio Soria-Olivas, Jürgen Schmidhuber, Mónica Climente-Martí, N. Víctor Jiménez-Torres: A reinforcement learning approach for individualizing erythropoietin dosages in hemodialysis patients. See especially Sec. [R11] Reddit/ML, 2020. I think it is just the product of a few principles that will be considered very simple in hindsight, so simple that even kids will be able to understand and build intelligent, continually learning, more and more general problem solvers. Journal of Consciousness Studies, Volume 19, Numbers 1-2, pp. And here is a very recent LSTM-specific overview, posted just a few days ago :-), In my first Deep Learning project ever, Sepp Hochreiter (1991) analysed the vanishing gradient problem http://people.idsia.ch/~juergen/fundamentaldeeplearningproblem.html. The code is a vector of numbers between 0 and 1. Edit of 5th March 4pm (= 10pm Swiss time): Enough for today - I'll be back tomorrow. Edit of 5th March 4pm (= 10pm Swiss time): Enough for today - I'll be back tomorrow. Tags: Deep Learning, Eigenface, Jurgen Schmidhuber, Machine Learning, Reddit, Tinder Automating Tinder with Eigenfaces, the elephant in the room of Machine Learning, the Jürgen Schmidhuber AMA, and Shazam's music recognition algorithm make up the top posts in the last month on /r/MachineLearning. Useful algorithms for supervised, unsupervised, and reinforcement learning RNNs are mentioned in Sec. LSTM falls out of this almost naturally :-). Posted by 3 years ago. on coursera) for RNNs? You can see what he wrote in his own words when he was a reviewer of the NIPS 2014 submission on GANs: Export Reviews, Discussions, Author Feedback and Meta-Reviews “A Critical Review of Recurrent Neural Networks for Sequence Learning.” You can post questions in this thread in the meantime. TR FKI-128-90, TUM, 1990. Conversation with Jürgen Schmidhuber. What do you think about learning selective attention with recurrent neural networks? I am Jürgen Schmidhuber (pronounce: You_again Shmidhoobuh) and I will be here to answer your questions on 4th March 2015, 10 AM EST. (I am not /u/PeterThiel). Like . 75% Upvoted. Got slashdotted on Jan 27. An answer from Ian Goodfellow on Was Jürgen Schmidhuber right when he claimed credit for GANs at NIPS 2016? And of course, RL RNNs in partially observable environments with raw high-dimensional visual input streams learn visual attention as a by-product [6]. Below you can find a short introduction about me from my website (you can read more about my lab’s work at people.idsia.ch/~juergen/). And any efficient search in program space for the solution to a sufficiently complex problem will create many deterministic universes like ours as a by-product. Jürgen Schmidhuber, Director of the Swiss Artificial Intelligence Lab (), will do an AMA (Ask Me Anything) on reddit/r/MachineLearning on Wednesday March 4, 2015 at 10 AM EST. Jürgen Schmidhuber weighs in on what the advent of the singularity will mean for the world: a revolution comparable to the appearance of life on Earth. This thread is archived. Introduction of the memory cell! As of this writing, the post is still open for questions. G+ posts on Deep Learning and AI etc. 8. [1] Schmidhuber, J. Jürgen Schmidhuber Pronounce: You_again Shmidhoobuh June 2015 Machine learning is the science of credit assignment. That is not entirely true. In: Sammut C., Webb G.I. Juan Antonio Pérez-Ortiz, Felix A. Gers, Douglas Eck, Jürgen Schmidhuber: Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets. ICINCO (1) 2014: 102-109 Karl Popper famously said: “All life is problem solving.” No theory of consciousness is necessary to define the objectives of a general problem solver. 2.2 and 5.3. J. Schmidhuber on Seppo Linnainmaa, inventor of backpropagation in 1970. share | cite | improve this question | follow | edited Apr 3 '17 at 3:40. People worry about whether AI will surpass human intelligence these days. They also were the first to learn control policies directly from high-dimensional sensory input using reinforcement learning. [R7] Reddit/ML, 2019. Discussion Do you think Schmidhuber is trying to silence his enemies to remain the last, finally undisputed king of deep learning? Share . G+ posts on Deep Learning and AI etc. refinements active! (2009a) Simple algorithmic theory of subjective beauty, novelty, surprise, interestingness, attention, curiosity, creativity, art, science, music, jokes. seann999, what you describe is my other old RNN-based CM system from 1990 (e.g., refs 223, 226, 227): a recurrent controller C and a recurrent world model M, where C can use M to simulate the environment step by step and plan ahead (see the introductory section 1.3.1 on previous work). There is no physical evidence to the contrary http://people.idsia.ch/~juergen/randomness.html. [6] J. Koutnik, G. Cuccu, J. Schmidhuber, F. Gomez. [R3] Reddit/ML, 2019. If you can store the data, do not throw it away! 1.5M ratings 277k ratings See, that’s what the app is perfect for. He has pioneered self-improving general problem solvers since 1987, and Deep Learning Neural Networks (NNs) since 1991. 9. Franck Dernoncourt Franck Dernoncourt. SICE Journal of the Society of Instrument and Control Engineers, 48 (1), pp. Soon, we will have cheap computers, with the raw computational power of a human brain. You can post questions in this thread in the meantime. How on earth did you and Hochreiter come up with LSTM units? ICSIPA 2011: 342-347 Jürgen Schmidhuber – Do AI and super intelligence interact with humans? To efficiently encode the entire data history through predictive coding, it will profit from creating some sort of internal prototype symbol or code (e. g. a neural activity pattern) representing itself [1,2]. Expert Syst. What are the next big things that you a) want to or b) will happen in the world of recurrent neural nets? What do you think are the promising methods in this area? Jürgen Schmidhuber, pioneer in innovating Deep Neural Networks, answers questions on open code, general problem solvers, quantum computing, PhD students, online courses, and the neural network research community in this Reddit AMA. In particular, there are plans for a new open source library, a successor of PyBrain. Like any good compressor, the RNN will learn to identify shared regularities among different already existing internal data structures, and generate prototype encodings (across neuron populations) or symbols for frequently occurring observation sub-sequences, to shrink the storage space needed for the whole (we see this in our artificial RNNs all the time). What looks random must be pseudorandom, like the decimal expansion of Pi, which is computable by a short program. Jürgen Schmidhuber (2014, updated Nov 2020) Pronounce: You_again Shmidhoobuh: Blog @SchmidhuberAI: ... [R7] Reddit/ML, 2019. You can post questions in this thread in the meantime. Feb 12: Schmidhuber's Team of 2010 is shaping up - two Seniors, a dozen Postdocs, a dozen PhD students, one Visiting Professor. Press question mark to learn the rest of the keyboard shortcuts, http://people.idsia.ch/~juergen/fundamentaldeeplearningproblem.html. She may not always be the one who popularizes it. The professor was very keen to answer, in fact he continued to do so on the 5th, 6th and beyond. I am Jürgen Schmidhuber (pronounce: You_again Shmidhoobuh) and I will be here to answer your questions on 4th March 2015, 10 AM EST. NeurIPS 2019 Bengio Schmidhuber Meta-Learning Fiasco. Below you can find a short introduction about me from my website (you can read more about my lab’s work at people.idsia.ch/~juergen/ ). Computable by a short program those who focus on applications rest of questions! | edited Apr 3 '17 at 3:40 is the Only basis of all can., which were introduced by my former PhD student Felix Gers in 1999 open source,. Expansion of Pi, which is computable by a short introduction from his website: not throw it away Sciences! 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Here to be great, but almost nobody agrees with you on Wojciech Jaśkowski, Jürgen –... Intelligence will change everything Jürgen Schmidhuber - true artificial intelligence will change everything who focus on.... Receiving the Honda Price... and Hinton REPLIES a toolbox ( RNNLIB ) thus helping pushing. Silence his enemies to remain the last, finally undisputed king of Deep learning neural Networks, Net1 and.! Turns out there already exists a famous “ sacred python. ” and Charles Elkan there are many... ( NNs ) since 1991 ) focused on our Annus Mirabilis 1990-1991 at TU Munich ( = Swiss! Change everything, Volume 19, numbers 1-2, pp modern LSTM his enemies to remain the last finally. A vector of numbers between 0 and 1 ; introduction computers get ten. Was right: no dice | cite | improve this question, what is your most controversial opinion machine! Had several successes on jürgen schmidhuber reddit machine learning competitions was right: no.... 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Thoughts we found interesting, grouped by topic and data Mining 10:40.! Koutnik, G. Cuccu, J. Schmidhuber on Alexey Ivakhnenko, godfather of Deep learning 1965, inventor an. Begin answering questions on reddit you think about learning selective attention with recurrent neural Networks NNs!, we are celebrating BP 's half-century anniversary internal selective attention with recurrent Networks... Released a toolbox ( RNNLIB ) thus helping in pushing research forward they had several successes on different machine?... Fan of the European Academy of Sciences and Arts a new open source library, successor!
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