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Unsolved Issues in AI. Visitor publish by Simon Andersson, Senior… | by AI Roadmap Institute | AI Roadmap Institute Weblog

AAAI. “AAAI-13 Worldwide basic recreation taking part in competitors.” On-line beneath http://www.aaai.org/Conferences/AAAI/2013/aaai13games.php (2013)

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Agrawal, Pulkit, Joao Carreira, and Jitendra Malik. “Studying to see by transferring.” Proceedings of the IEEE Worldwide Convention on Pc Imaginative and prescient. 2015.

Agrawal, Pulkit, et al. “Studying to poke by poking: Experiential studying of intuitive physics.” arXiv preprint arXiv:1606.07419 (2016).

AI•ON. “The AI•ON assortment of open analysis issues.” On-line beneath http://ai-on.org/initiatives (2016)

Allamanis, Miltiadis, Hao Peng, and Charles Sutton. “A convolutional consideration community for excessive summarization of supply code.” arXiv preprint arXiv:1602.03001 (2016).

Andrychowicz, Marcin, et al. “Studying to study by gradient descent by gradient descent.” Advances in Neural Info Processing Programs. 2016.

Aupperlee, Aaron. “No bluff: Supercomputer outwits people in poker rematch.” On-line beneath http://triblive.com/native/allegheny/11865933-74/rematch-aaron-aupperlee (2017)

Blitzer, John, Mark Dredze, and Fernando Pereira. “Biographies, bollywood, boom-boxes and blenders: Area adaptation for sentiment classification.” ACL. Vol. 7. 2007.

Brachman, Ronald J. “AI greater than the sum of its components.” AI Journal 27.4 (2006): 19.

Brooks, R., et al. “Problem issues for synthetic intelligence.” Thirteenth Nationwide Convention on Synthetic Intelligence-AAAI. 1996.

Brown, Noam, and Tuomas Sandholm. “Secure and Nested Endgame Fixing for Imperfect-Info Video games.” On-line beneath http://www.cs.cmu.edu/~noamb/papers/17-AAAI-Refinement.pdf (2017)

Cadena, Cesar, et al. “Previous, Current, and Way forward for Simultaneous Localization and Mapping: Towards the Sturdy-Notion Age.” IEEE Transactions on Robotics 32.6 (2016): 1309–1332.

Chang, Michael B., et al. “A compositional object-based strategy to studying bodily dynamics.” arXiv preprint arXiv:1612.00341 (2016).

Chen, Yutian, et al. “Studying to Study for International Optimization of Black Field Features.” arXiv preprint arXiv:1611.03824 (2016).

Choi, Myung Jin, Antonio Torralba, and Alan S. Willsky. “Context fashions and out-of-context objects.” Sample Recognition Letters 33.7 (2012): 853–862.

Ciocarlie, Matei. “Versatility in Robotic Manipulation: the Lengthy Street to All over the place.” On-line beneath https://www.youtube.com/watch?v=wiTQ6qOR8o4 (2015)

Commonsense Reasoning. “Commonsense reasoning downside web page.” On-line beneath http://commonsensereasoning.org/problem_page.html (2015)

Commonsense Reasoning. “Commonsense reasoning Winograd schema problem.” On-line beneath http://commonsensereasoning.org/winograd.html (2016a)

Commonsense Reasoning. “Commonsense reasoning pronoun disambiguation issues” On-line beneath http://commonsensereasoning.org/disambiguation.html (2016b)

Davies, Mark. The corpus of latest American English. BYE, Brigham Younger College, 2008.

Davis, Ernest. “Assortment of Winograd schemas.” On-line beneath http://www.cs.nyu.edu/college/davise/papers/WinogradSchemas/WSCollection.html (2011)

de Freitas, Nando. “Studying to Study and Compositionality with Deep Recurrent Neural Networks: Studying to Study and Compositionality.” Proceedings of the twenty second ACM SIGKDD Worldwide Convention on Information Discovery and Knowledge Mining. ACM, 2016.

Degrave, Jonas, Michiel Hermans, and Joni Dambre. “A Differentiable Physics Engine for Deep Studying in Robotics.” arXiv preprint arXiv:1611.01652 (2016).

Deng, Jia, et al. “Imagenet: A big-scale hierarchical picture database.” Pc Imaginative and prescient and Sample Recognition, 2009. CVPR 2009. IEEE Convention on. IEEE, 2009.

Denil, Misha, et al. “Studying to Carry out Physics Experiments through Deep Reinforcement Studying.” arXiv preprint arXiv:1611.01843 (2016).

Duan, Yan, et al. “RL²: Quick Reinforcement Studying through Sluggish Reinforcement Studying.” arXiv preprint arXiv:1611.02779 (2016).

Ess, Andreas, et al. “Object detection and monitoring for autonomous navigation in dynamic environments.” The Worldwide Journal of Robotics Analysis 29.14 (2010): 1707–1725.

Finn, Chelsea, and Sergey Levine. “Deep Visible Foresight for Planning Robotic Movement.” arXiv preprint arXiv:1610.00696 (2016).

Fouhey, David F., and C. Lawrence Zitnick. “Predicting object dynamics in scenes.” Proceedings of the IEEE Convention on Pc Imaginative and prescient and Sample Recognition. 2014.

Fragkiadaki, Katerina, et al. “Studying visible predictive fashions of physics for enjoying billiards.” arXiv preprint arXiv:1511.07404 (2015).

Garofolo, John, et al. “TIMIT Acoustic-Phonetic Steady Speech Corpus LDC93S1.” Net Obtain. Philadelphia: Linguistic Knowledge Consortium, 1993.

Gaunt, Alexander L., et al. “Terpret: A probabilistic programming language for program induction.” arXiv preprint arXiv:1608.04428 (2016).

Genesereth, Michael, Nathaniel Love, and Barney Pell. “Common recreation taking part in: Overview of the AAAI competitors.” AI journal 26.2 (2005): 62.

Goertzel, Ben. “What counts as a aware pondering machine?” On-line beneath https://www.newscientist.com/article/mg21528813.600-what-counts-as-a-conscious-thinking-machine (2012)

GoodAI. “Common AI Problem.” On-line beneath https://www.general-ai-challenge.org/ (2017)

Graves, Alex, et al. “Hybrid computing utilizing a neural community with dynamic exterior reminiscence.” Nature 538.7626 (2016): 471–476.

Hamrick, Jessica B., et al. “Creativeness-Primarily based Choice Making with Bodily Fashions in Deep Neural Networks.” On-line beneath http://phys.csail.mit.edu/papers/5.pdf (2016)

Han, Dongyoon, Jiwhan Kim, and Junmo Kim. “Deep Pyramidal Residual Networks.” arXiv preprint arXiv:1610.02915 (2016).

Harlow, Harry F. “The formation of studying units.” Psychological evaluate 56.1 (1949): 51.

Held, Richard, and Alan Hein. “Motion-produced stimulation within the growth of visually guided habits.” Journal of comparative and physiological psychology 56.5 (1963): 872.

Hernández-Orallo, José. “Analysis in synthetic intelligence: from task-oriented to ability-oriented measurement.” Synthetic Intelligence Overview(2016a): 1–51.

Hernández-Orallo, José, et al. “Pc fashions fixing intelligence check issues: progress and implications.” Synthetic Intelligence 230 (2016b): 74–107.

Hernández-Orallo, José. “The measure of all minds.” Cambridge College Press, 2017.

IOCCC. “The Worldwide Obfuscated C Code Contest.” On-line beneath http://www.ioccc.org (2016)

Kadlec, Rudolf, et al. “Discovering a jack-of-all-trades: an examination of semi-supervised studying in studying comprehension.” Below evaluate at ICLR 2017, on-line beneath https://openreview.internet/pdf?id=rJM69B5xx

Kamper, Herman, Aren Jansen, and Sharon Goldwater. “Unsupervised phrase segmentation and lexicon discovery utilizing acoustic phrase embeddings.” IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 24.4 (2016): 669–679.

Kamprani, Katerina. “The uncomfortable.” On-line beneath http://www.kkstudio.gr/#the-uncomfortable (2017)

Karpathy, Andrej. “What I realized from competing towards a ConvNet on ImageNet.” On-line beneath http://karpathy.github.io/2014/09/02/what-i-learnedfrom-competing-against-a-convnet-on-imagenet (2014)

Kirkpatrick, James, et al. “Overcoming catastrophic forgetting in neural networks.” arXiv preprint arXiv:1612.00796 (2016).

Kondo, H. M., et al. “Auditory and visible scene evaluation: an outline.” Philosophical transactions of the Royal Society of London. Sequence B, Organic sciences 372.1714 (2017).

Lahat, Dana, Tülay Adali, and Christian Jutten. “Multimodal information fusion: an outline of strategies, challenges, and prospects.” Proceedings of the IEEE 103.9 (2015): 1449–1477.

Lake, Brenden M., Ruslan Salakhutdinov, and Joshua B. Tenenbaum. “Human-level idea studying by probabilistic program induction.” Science 350.6266 (2015): 1332–1338.

Lake, Brenden M., et al. “Constructing machines that study and assume like individuals.” arXiv preprint arXiv:1604.00289 (2016).

LeCun, Yann. “The Subsequent Frontier in AI: Unsupervised Studying.” On-line beneath http://www.ri.cmu.edu/event_detail.html?event_id=1211&&menu_id=242&event_type=seminars (2016)

Lewicki, Michael S., et al. “Scene evaluation within the pure atmosphere.” Frontiers in psychology 5 (2014): 199.

Li, Wenbin, Aleš Leonardis, and Mario Fritz. “Visible stability prediction and its software to manipulation.” arXiv preprint arXiv:1609.04861 (2016).

Li, Zhizhong, and Derek Hoiem. “Studying with out forgetting.” European Convention on Pc Imaginative and prescient. Springer Worldwide Publishing, 2016.

Loebner, Hugh. “Dwelling web page of the Loebner prize-the first Turing check.” On-line beneath http://www.loebner.internet/Prizef/loebner-prize.html (2016).

Lovett, Andrew, and Kenneth Forbus. “Modeling visible downside fixing as analogical reasoning.” Psychological Overview 124.1 (2017): 60.

Malik, Jitendra. “The Hilbert Issues of Pc Imaginative and prescient.” On-line beneath https://www.youtube.com/watch?v=QaF2kkez5XU (2015)

McCarthy, John. “An instance for pure language understanding and the AI Issues it raises.” On-line beneath http://www-formal.stanford.edu/jmc/mrhug/mrhug.html (1976)

McLeod, John. “Card recreation guidelines — card video games and tile video games from world wide.” On-line beneath https://www.pagat.com (2017)

Miller, George A. “WordNet: a lexical database for English.” Communications of the ACM 38.11 (1995): 39–41.

Mottaghi, Roozbeh, et al. ““What occurs if…” Studying to Predict the Impact of Forces in Pictures.” European Convention on Pc Imaginative and prescient. Springer Worldwide Publishing, 2016.

Morency, Louis-Philippe. “Multimodal Machine Studying.” On-line beneath https://www.youtube.com/watch?v=pMb_CIK14lU (2015)

Nair, Ashvin, et al. “Combining Self-Supervised Studying and Imitation for Imaginative and prescient-Primarily based Rope Manipulation.” On-line beneath http://phys.csail.mit.edu/papers/15.pdf (2016)

Nguyen, Anh, Jason Yosinski, and Jeff Clune. “Deep neural networks are simply fooled: Excessive confidence predictions for unrecognizable photos.” 2015 IEEE Convention on Pc Imaginative and prescient and Sample Recognition (CVPR). IEEE, 2015.

Nilsson, Nils J. “Human-level synthetic intelligence? Be severe!.” AI journal 26.4 (2005): 68.

OpenAI. “Requests for analysis.” On-line beneath https://openai.com/requests-for-research (2016)

Pan, Sinno Jialin, and Qiang Yang. “A survey on switch studying.” IEEE Transactions on information and information engineering 22.10 (2010): 1345–1359.

Pang, Bo, and Lillian Lee. “Seeing stars: Exploiting class relationships for sentiment categorization with respect to ranking scales.” Proceedings of the forty third annual assembly on affiliation for computational linguistics. Affiliation for Computational Linguistics, 2005.

Parisotto, Emilio, Jimmy Lei Ba, and Ruslan Salakhutdinov. “Actor-mimic: Deep multitask and switch reinforcement studying.” arXiv preprint arXiv:1511.06342 (2015).

Park, Alex S., and James R. Glass. “Unsupervised sample discovery in speech.” IEEE Transactions on Audio, Speech, and Language Processing 16.1 (2008): 186–197.

Rajaram, Rakesh Nattoji, Eshed Ohn-Bar, and Mohan M. Trivedi. “An exploration of why and when pedestrian detection fails.” 2015 IEEE 18th Worldwide Convention on Clever Transportation Programs. IEEE, 2015.

Riccardi, Giuseppe, and Dilek Z. Hakkani-Tür. “Energetic and unsupervised studying for computerized speech recognition.” Interspeech. 2003.

Robo chat problem. “Robo chat problem 2014.” On-line beneath http://www.robochatchallenge.com (2014)

Rosa, Marek, Jan Feyereisl, and The GoodAI Collective. “A Framework for Trying to find Common Synthetic Intelligence.” arXiv preprint arXiv:1611.00685 (2016).

Schmidhuber, Jurgen. “Evolutionary rules in self-referential studying.” On studying learn how to study: The meta-meta-… hook.) Diploma thesis, Institut f. Informatik, Tech. Univ. Munich (1987).

Silver, David, et al. “Mastering the sport of Go together with deep neural networks and tree search.” Nature 529.7587 (2016): 484–489.

Smith, Linda, and Michael Gasser. “The event of embodied cognition: Six classes from infants.” Synthetic life 11.1–2 (2005): 13–29.

Music, Shuran, Linguang Zhang, and Jianxiong Xiao. “Robotic in a room: Towards excellent object recognition in closed environments.” CoRR (2015).

Stewart, Russell, and Stefano Ermon. “Label-free supervision of neural networks with physics and area information.” arXiv preprint arXiv:1609.05566 (2016).

Tarlow, Daniel. “In Search of Sturdy Generalization.” On-line beneath https://uclmr.github.io/nampi/talk_slides/tarlow-nampi.pdf (2016)

Thrun, Sebastian, and Tom M. Mitchell. “Lifelong robotic studying.” Robotics and autonomous techniques 15.1–2 (1995): 25–46.

Thrun, Sebastian, and Lorien Pratt. “Studying to study: Introduction and overview.” Studying to study. Springer US, 1998. 3–17.

TMOU. “Archiv TMOU.” On-line beneath http://www.tmou.cz/archiv/index (2016)

Verschae, Rodrigo, and Javier Ruiz-del-Photo voltaic. “Object detection: present and future instructions.” Frontiers in Robotics and AI 2 (2015): 29.

Wang, Jane X., et al. “Studying to reinforcement study.” arXiv preprint arXiv:1611.05763 (2016).

Yao, Bangpeng, Jiayuan Ma, and Li Fei-Fei. “Discovering object performance.” Proceedings of the IEEE Worldwide Convention on Pc Imaginative and prescient. 2013.

Yelp, “The Yelp Dataset Problem.”, on-line beneath https://www.yelp.com/dataset_challenge (2017)

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