논문 목록

선정된 논문 전체. 열 머리글을 누르면 정렬되고, 찾기 칸은 모든 열을 대상으로 한다. CSV 의 열 설명은 datapackage.json 에 있다.

CSV 내려받기: papers.csv edges.csv datapackage.json

첫 공개	첫 저자	제목	게재	원문	장	주제
1943-12	McCulloch & Pitts	A logical calculus of the ideas immanent in nervous activity	The Bulletin of Mathematical Biophysics,	DOI	1장 기원 1943–56	신경망 학습
1948-07	Shannon	A Mathematical Theory of Communication	Bell System Technical Journal, 27(3) and	DOI	1장 기원 1943–56	확률·통계·기원
1948	Wiener	Cybernetics: or Control and Communication in the Animal and the Machine	Book: The Technology Press (Cambridge, M	DOI	1장 기원 1943–56	확률·통계·기원
1949-03-09	Shannon	Programming a computer for playing chess	The London, Edinburgh, and Dublin Philos	DOI	1장 기원 1943–56	탐색·계획·지식
1949	Hebb	The Organization of Behavior	New York: John Wiley & Sons; London: Cha	DOI	1장 기원 1943–56	신경망 학습
1950-10	Turing	Computing Machinery and Intelligence	Mind LIX(236), October 1950	DOI	1장 기원 1943–56	확률·통계·기원
1956-09	Chomsky	Three models for the description of language	IRE Transactions on Information Theory,	DOI	1장 기원 1943–56	언어·음성
1957	Bellman	Dynamic Programming	Princeton University Press (A RAND Corpo	URL	2장 기호와 퍼셉트론 1956–74	강화학습·게임
1958-11	McCarthy	Programs with Common Sense	Mechanisation of Thought Processes: Proc	URL	2장 기호와 퍼셉트론 1956–74	탐색·계획·지식
1958-11	Rosenblatt	The perceptron: A probabilistic model for information storage and organization in the brain	Psychological Review, 65(6)	DOI	2장 기호와 퍼셉트론 1956–74	신경망 학습
1959-02	Newell et al.	Report on a general problem-solving program	The RAND Corporation, Santa Monica, Pape	URL	2장 기호와 퍼셉트론 1956–74	탐색·계획·지식
1959-07	Samuel	Some Studies in Machine Learning Using the Game of Checkers	IBM Journal of Research and Development,	DOI	2장 기호와 퍼셉트론 1956–74	강화학습·게임
1960-04	McCarthy	Recursive functions of symbolic expressions and their computation by machine, Part I	Communications of the ACM, 3(4)	DOI	2장 기호와 퍼셉트론 1956–74	탐색·계획·지식
1960-06-30	Widrow & Hoff	Adaptive switching circuits	IRE WESCON Convention Record, 1960, Part	DOI	2장 기호와 퍼셉트론 1956–74	신경망 학습
1961-01	Minsky	Steps toward Artificial Intelligence	Proceedings of the IRE, 49(1)	DOI	2장 기호와 퍼셉트론 1956–74	확률·통계·기원
1965-01	Robinson	A Machine-Oriented Logic Based on the Resolution Principle	Journal of the ACM 12(1), January 1965	DOI	2장 기호와 퍼셉트론 1956–74	탐색·계획·지식
1965-06	Zadeh	Fuzzy sets	Information and Control 8(3), June 1965	DOI	2장 기호와 퍼셉트론 1956–74	탐색·계획·지식
1966-01	Weizenbaum	ELIZA—a computer program for the study of natural language communication between man and machine	Communications of the ACM 9(1), January	DOI	2장 기호와 퍼셉트론 1956–74	언어·음성
1968-07	Hart et al.	A Formal Basis for the Heuristic Determination of Minimum Cost Paths	IEEE Transactions on Systems Science and	DOI	2장 기호와 퍼셉트론 1956–74	탐색·계획·지식
1969	McCarthy & Hayes	Some Philosophical Problems from the Standpoint of Artificial Intelligence	Machine Intelligence 4, ed. B. Meltzer a	DOI	2장 기호와 퍼셉트론 1956–74	탐색·계획·지식
1969	Minsky & Papert	Perceptrons: An Introduction to Computational Geometry	MIT Press (Cambridge, Mass.)	URL	2장 기호와 퍼셉트론 1956–74	신경망 학습
1970-10	Fikes & Nilsson	STRIPS: A new approach to the application of theorem proving to problem solving	Artificial Intelligence 2(3–4), 1971 (No	DOI	2장 기호와 퍼셉트론 1956–74	탐색·계획·지식
1971-01	Winograd	Understanding natural language	Cognitive Psychology, 3(1) (journal); re	DOI	2장 기호와 퍼셉트론 1956–74	언어·음성
1973	Lighthill	Artificial Intelligence: A General Survey	Artificial Intelligence: a paper symposi	DOI	2장 기호와 퍼셉트론 1956–74	확률·통계·기원
1974-06	Minsky	A Framework for Representing Knowledge	MIT Artificial Intelligence Laboratory,	DOI	3장 지식 시스템과 연결주의 1974–93	탐색·계획·지식
1974	Werbos	Beyond Regression: New Tools for Prediction and Analysis in the Behavioral Sciences	Ph.D. thesis, Harvard University	URL	2장 기호와 퍼셉트론 1956–74	신경망 학습
1975	Holland	Adaptation in Natural and Artificial Systems	Ann Arbor: University of Michigan Press,	DOI	3장 지식 시스템과 연결주의 1974–93	확률·통계·기원
1975-10-20	Newell & Simon	Computer science as empirical inquiry: symbols and search	Communications of the ACM 19(3)	DOI	3장 지식 시스템과 연결주의 1974–93	확률·통계·기원
1976-12-08	Dempster et al.	Maximum Likelihood from Incomplete Data Via the EM Algorithm	Journal of the Royal Statistical Society	DOI	3장 지식 시스템과 연결주의 1974–93	확률·통계·기원
1977	Schank & Abelson	Scripts, Plans, Goals and Understanding	Lawrence Erlbaum Associates, Hillsdale,	DOI	3장 지식 시스템과 연결주의 1974–93	탐색·계획·지식
1978-08	Buchanan & Feigenbaum	Dendral and Meta-Dendral: Their applications dimension	Artificial Intelligence 11(1-2)	DOI	3장 지식 시스템과 연결주의 1974–93	탐색·계획·지식
1980-04	Fukushima	Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position	Biological Cybernetics 36(4)	DOI	3장 지식 시스템과 연결주의 1974–93	시각·생성
1980-04	McDermott	R1: A rule-based configurer of computer systems	Carnegie-Mellon University, Department o	DOI	3장 지식 시스템과 연결주의 1974–93	탐색·계획·지식
1980-09	Searle	Minds, brains, and programs	The Behavioral and Brain Sciences 3(3)	DOI	3장 지식 시스템과 연결주의 1974–93	확률·통계·기원
1982-04	Hopfield	Neural networks and physical systems with emergent collective computational abilities	Proceedings of the National Academy of S	DOI	3장 지식 시스템과 연결주의 1974–93	신경망 학습
1982	Marr	Vision: A Computational Investigation into the Human Representation and Processing of Visual Information	W. H. Freeman and Company, San Francisco	URL	3장 지식 시스템과 연결주의 1974–93	시각·생성
1982	Werbos	Applications of advances in nonlinear sensitivity analysis	R. F. Drenick & F. Kozin (eds.), System	DOI	3장 지식 시스템과 연결주의 1974–93	신경망 학습
1983-05-13	Kirkpatrick et al.	Optimization by Simulated Annealing	Science 220(4598)	DOI	3장 지식 시스템과 연결주의 1974–93	탐색·계획·지식
1983-09	Barto et al.	Neuronlike adaptive elements that can solve difficult learning control problems	IEEE Transactions on Systems, Man, and C	DOI	3장 지식 시스템과 연결주의 1974–93	강화학습·게임
1984	Valiant	A theory of the learnable	Communications of the ACM 27(11)	DOI	3장 지식 시스템과 연결주의 1974–93	신경망 학습
1984-11	Geman & Geman	Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images	IEEE Transactions on Pattern Analysis an	DOI	3장 지식 시스템과 연결주의 1974–93	확률·통계·기원
1985-01	Ackley et al.	A learning algorithm for Boltzmann machines	Cognitive Science 9(1)	DOI	3장 지식 시스템과 연결주의 1974–93	신경망 학습
1986-03	Quinlan	Induction of decision trees	Machine Learning 1(1)	DOI	3장 지식 시스템과 연결주의 1974–93	확률·통계·기원
1986-10-09	Rumelhart et al.	Learning representations by back-propagating errors	Nature 323(6088)	DOI	3장 지식 시스템과 연결주의 1974–93	신경망 학습
1987-10	Waibel et al.	Phoneme recognition using time-delay neural networks	IEEE Transactions on Acoustics, Speech,	DOI	3장 지식 시스템과 연결주의 1974–93	언어·음성
1988	Elman	Finding Structure in Time	Cognitive Science 14(2)	DOI	3장 지식 시스템과 연결주의 1974–93	신경망 학습
1988	Hornik et al.	Multilayer feedforward networks are universal approximators	Neural Networks, 2(5)	DOI	3장 지식 시스템과 연결주의 1974–93	신경망 학습
1988	Pearl	Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference	Morgan Kaufmann (Morgan Kaufmann Series	URL	3장 지식 시스템과 연결주의 1974–93	확률·통계·기원
1988-08	Sutton	Learning to predict by the methods of temporal differences	Machine Learning 3(1)	DOI	3장 지식 시스템과 연결주의 1974–93	강화학습·게임
1989-02	Rabiner	A tutorial on hidden Markov models and selected applications in speech recognition	Proceedings of the IEEE 77(2)	DOI	3장 지식 시스템과 연결주의 1974–93	언어·음성
1989-05	Watkins	Learning from Delayed Rewards	PhD thesis, King's College, University o	DOI	3장 지식 시스템과 연결주의 1974–93	강화학습·게임
1989	Schapire	The strength of weak learnability	Machine Learning 5(2)	DOI	4장 통계 학습 1990–2011	확률·통계·기원
1989-12	Cybenko	Approximation by superpositions of a sigmoidal function	Mathematics of Control, Signals, and Sys	DOI	3장 지식 시스템과 연결주의 1974–93	신경망 학습
1989-12	LeCun et al.	Backpropagation Applied to Handwritten Zip Code Recognition	Neural Computation 1(4)	DOI	3장 지식 시스템과 연결주의 1974–93	시각·생성
1990-06	Brown et al.	A statistical approach to machine translation	Computational Linguistics 16(2)	DOI	4장 통계 학습 1990–2011	언어·음성
1991-02	Jacobs et al.	Adaptive Mixtures of Local Experts	Neural Computation 3(1)	DOI	4장 통계 학습 1990–2011	신경망 학습
1991-06-15	Hochreiter	Untersuchungen zu dynamischen neuronalen Netzen	Diplomarbeit, Institut für Informatik, T	URL	4장 통계 학습 1990–2011	신경망 학습
1992-05	Watkins & Dayan	Q-learning	Machine Learning 8(3-4) (Technical Note)	DOI	4장 통계 학습 1990–2011	강화학습·게임
1992-05	Williams	Simple statistical gradient-following algorithms for connectionist reinforcement learning	Machine Learning 8(3-4)	DOI	4장 통계 학습 1990–2011	강화학습·게임
1992-07	Boser et al.	A training algorithm for optimal margin classifiers	Proceedings of the Fifth Annual Workshop	DOI	4장 통계 학습 1990–2011	확률·통계·기원
1993	Quinlan	C4.5: Programs for Machine Learning	Morgan Kaufmann Publishers, San Mateo, C	URL	4장 통계 학습 1990–2011	확률·통계·기원
1994-03	Bengio et al.	Learning long-term dependencies with gradient descent is difficult	IEEE Transactions on Neural Networks 5(2	DOI	4장 통계 학습 1990–2011	신경망 학습
1994-09	Breiman	Bagging predictors	Machine Learning 24(2), Kluwer Academic	DOI	4장 통계 학습 1990–2011	확률·통계·기원
1995-03	Freund & Schapire	A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting	Journal of Computer and System Sciences	DOI	4장 통계 학습 1990–2011	확률·통계·기원
1995-03	Tesauro	Temporal difference learning and TD-Gammon	Communications of the ACM, 38(3)	DOI	4장 통계 학습 1990–2011	강화학습·게임
1995	Hochreiter & Schmidhuber	Long Short-Term Memory	Neural Computation 9(8)	DOI	4장 통계 학습 1990–2011	신경망 학습
1995	Russell & Norvig	Artificial Intelligence: A Modern Approach	Prentice Hall (1st ed.); 4th ed. Pearson	URL	4장 통계 학습 1990–2011	확률·통계·기원
1995-09	Cortes & Vapnik	Support-vector networks	Machine Learning 20(3)	DOI	4장 통계 학습 1990–2011	확률·통계·기원
1996	Tibshirani	Regression Shrinkage and Selection Via the Lasso	Journal of the Royal Statistical Society	DOI	4장 통계 학습 1990–2011	확률·통계·기원
1997-11	Schuster & Paliwal	Bidirectional recurrent neural networks	IEEE Transactions on Signal Processing 4	DOI	4장 통계 학습 1990–2011	신경망 학습
1998-05	Kaelbling et al.	Planning and acting in partially observable stochastic domains	Artificial Intelligence 101(1-2)	DOI	4장 통계 학습 1990–2011	강화학습·게임
1998	Sutton & Barto	Reinforcement Learning: An Introduction	MIT Press (A Bradford Book), Cambridge,	DOI	4장 통계 학습 1990–2011	강화학습·게임
1998-11	LeCun et al.	Gradient-based learning applied to document recognition	Proceedings of the IEEE, 86(11)	DOI	4장 통계 학습 1990–2011	시각·생성
1999	Sutton et al.	Policy Gradient Methods for Reinforcement Learning with Function Approximation	Advances in Neural Information Processin	URL	4장 통계 학습 1990–2011	강화학습·게임
2000	Hinton	Training Products of Experts by Minimizing Contrastive Divergence	Neural Computation, 14(8)	DOI	4장 통계 학습 1990–2011	신경망 학습
2001-06-28	Lafferty et al.	Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data	Proceedings of the 18th International Co	URL	4장 통계 학습 1990–2011	언어·음성
2001-10	Breiman	Random Forests	Machine Learning, 45(1)	DOI	4장 통계 학습 1990–2011	확률·통계·기원
2002-01	Campbell et al.	Deep Blue	Artificial Intelligence, 134(1–2)	DOI	4장 통계 학습 1990–2011	탐색·계획·지식
2003-01	Blei et al.	Latent Dirichlet Allocation	Journal of Machine Learning Research, 3	DOI	4장 통계 학습 1990–2011	확률·통계·기원
2003-02	Bengio et al.	A Neural Probabilistic Language Model	Journal of Machine Learning Research, 3	URL	4장 통계 학습 1990–2011	언어·음성
2006-05-29	Coulom	Efficient Selectivity and Backup Operators in Monte-Carlo Tree Search	Computers and Games (CG 2006), Turin; Le	DOI	4장 통계 학습 1990–2011	탐색·계획·지식
2006-07	Hinton et al.	A Fast Learning Algorithm for Deep Belief Nets	Neural Computation, 18(7)	DOI	4장 통계 학습 1990–2011	신경망 학습
2006-07-28	Hinton & Salakhutdinov	Reducing the Dimensionality of Data with Neural Networks	Science, 313(5786)	DOI	4장 통계 학습 1990–2011	신경망 학습
2006-09-18	Kocsis & Szepesvári	Bandit Based Monte-Carlo Planning	Machine Learning: ECML 2006, Lecture Not	DOI	4장 통계 학습 1990–2011	탐색·계획·지식
2006-09-25	Thrun et al.	Stanley: The robot that won the DARPA Grand Challenge	Journal of Field Robotics 23(9)	DOI	4장 통계 학습 1990–2011	탐색·계획·지식
2006-12	Bengio et al.	Greedy Layer-Wise Training of Deep Networks	Advances in Neural Information Processin	DOI	4장 통계 학습 1990–2011	신경망 학습
2007-07-19	Schaeffer et al.	Checkers Is Solved	Science 317(5844)	DOI	4장 통계 학습 1990–2011	탐색·계획·지식
2009-06	Deng et al.	ImageNet: A large-scale hierarchical image database	2009 IEEE Conference on Computer Vision	DOI	4장 통계 학습 1990–2011	시각·생성
2009-06-14	Raina et al.	Large-scale deep unsupervised learning using graphics processors	Proceedings of the 26th Annual Internati	DOI	4장 통계 학습 1990–2011	신경망 학습
2010-03-01	Ciresan et al.	Deep, Big, Simple Neural Nets for Handwritten Digit Recognition	arXiv:1003.0358 [cs.NE]; published in Ne	DOI	4장 통계 학습 1990–2011	시각·생성
2010-05	Glorot & Bengio	Understanding the difficulty of training deep feedforward neural networks	Proceedings of the Thirteenth Internatio	URL	4장 통계 학습 1990–2011	신경망 학습
2010-06	Nair & Hinton	Rectified Linear Units Improve Restricted Boltzmann Machines	Proceedings of the 27th International Co	URL	4장 통계 학습 1990–2011	신경망 학습
2010-09-26	Mikolov et al.	Recurrent neural network based language model	Interspeech 2010 (11th Annual Conference	DOI	4장 통계 학습 1990–2011	언어·음성
2011-03-02	Collobert et al.	Natural Language Processing (almost) from Scratch	Journal of Machine Learning Research 12(	URL	4장 통계 학습 1990–2011	언어·음성
2011-12-29	Le et al.	Building high-level features using large scale unsupervised learning	Proceedings of the 29th International Co	URL	5장 딥러닝 2012–17	신경망 학습
2012-02-13	Ciresan et al.	Multi-column deep neural networks for image classification	2012 IEEE Conference on Computer Vision	DOI	5장 딥러닝 2012–17	시각·생성
2012-11	Hinton et al.	Deep Neural Networks for Acoustic Modeling in Speech Recognition	IEEE Signal Processing Magazine 29(6)	DOI	5장 딥러닝 2012–17	언어·음성
2012-12	Krizhevsky et al.	ImageNet Classification with Deep Convolutional Neural Networks	Advances in Neural Information Processin	URL	5장 딥러닝 2012–17	시각·생성
2013-01-16	Mikolov et al.	Efficient Estimation of Word Representations in Vector Space	arXiv:1301.3781 [cs.CL]	arXiv	5장 딥러닝 2012–17	언어·음성
2013-08-04	Graves	Generating Sequences With Recurrent Neural Networks	arXiv:1308.0850 [cs.NE]	arXiv	5장 딥러닝 2012–17	시각·생성
2013-10-16	Mikolov et al.	Distributed Representations of Words and Phrases and their Compositionality	arXiv:1310.4546 [cs.CL]	arXiv	5장 딥러닝 2012–17	언어·음성
2013-11-11	Girshick et al.	Rich feature hierarchies for accurate object detection and semantic segmentation	IEEE Conference on Computer Vision and P	DOI	5장 딥러닝 2012–17	시각·생성
2013-12-20	Kingma & Welling	Auto-Encoding Variational Bayes	arXiv:1312.6114 [stat.ML]	arXiv	5장 딥러닝 2012–17	시각·생성
2013-12-19	Mnih et al.	Playing Atari with Deep Reinforcement Learning	arXiv:1312.5602 [cs.LG]; NIPS Deep Learn	arXiv	5장 딥러닝 2012–17	강화학습·게임
2013-12-21	Szegedy et al.	Intriguing properties of neural networks	arXiv:1312.6199 [cs.CV]	arXiv	5장 딥러닝 2012–17	규모·정렬·안전
2014-04-30	Schmidhuber	Deep learning in neural networks: An overview	Neural Networks 61, 85–117 (journal); re	DOI	5장 딥러닝 2012–17	확률·통계·기원
2014-06-03	Cho et al.	Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation	Conference on Empirical Methods in Natur	arXiv	5장 딥러닝 2012–17	언어·음성
2014-06-10	Goodfellow et al.	Generative Adversarial Nets	arXiv:1406.2661 [stat.ML]	arXiv	5장 딥러닝 2012–17	시각·생성
2014-06	Srivastava et al.	Dropout: A Simple Way to Prevent Neural Networks from Overfitting	Journal of Machine Learning Research 15(	URL	5장 딥러닝 2012–17	신경망 학습
2014-09-01	Bahdanau et al.	Neural Machine Translation by Jointly Learning to Align and Translate	International Conference on Learning Rep	arXiv	5장 딥러닝 2012–17	언어·음성
2014-09-04	Simonyan & Zisserman	Very Deep Convolutional Networks for Large-Scale Image Recognition	International Conference on Learning Rep	arXiv	5장 딥러닝 2012–17	시각·생성
2014-09-10	Sutskever et al.	Sequence to Sequence Learning with Neural Networks	arXiv:1409.3215 [cs.CL]; Advances in Neu	arXiv	5장 딥러닝 2012–17	언어·음성
2014-09-17	Szegedy et al.	Going Deeper with Convolutions	arXiv:1409.4842 [cs.CV]; later published	arXiv	5장 딥러닝 2012–17	시각·생성
2014-10-20	Graves et al.	Neural Turing Machines	arXiv:1410.5401 [cs.NE]	arXiv	5장 딥러닝 2012–17	신경망 학습
2014-10	Pennington et al.	GloVe: Global Vectors for Word Representation	Proceedings of the 2014 Conference on Em	DOI	5장 딥러닝 2012–17	언어·음성
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