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1987 NeurIPS
| Learning in Networks of Nondeterministic Adaptive Logic Elements | Richard C. Windecker | 1987 | https://papers.nips.cc/paper/79-learning-in-networks-of-nondeterministic-adaptive-logic-elements.pdf |
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| A 'Neural' Network that Learns to Play Backgammon | Gerald Tesauro, Terrence J. Sejnowski | 1987 | https://papers.nips.cc/paper/30-a-neural-network-that-learns-to-play-backgammon.pdf |
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| A Novel Net that Learns Sequential Decision Process | Guo-Zheng Sun, Yee-Chun Lee, Hsing-Hen Chen | 1987 | https://papers.nips.cc/paper/74-a-novel-net-that-learns-sequential-decision-process.pdf |
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| Scaling Properties of Coarse-Coded Symbol Memories | Ronald Rosenfeld, David S. Touretzky | 1987 | https://papers.nips.cc/paper/91-scaling-properties-of-coarse-coded-symbol-memories.pdf |
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| How Neural Nets Work | Alan S. Lapedes, Robert M. Farber | 1987 | https://papers.nips.cc/paper/59-how-neural-nets-work.pdf |
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| Learning Representations by Recirculation | Geoffrey E. Hinton, James L. McClelland | 1987 | https://papers.nips.cc/paper/78-learning-representations-by-recirculation.pdf |
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| Correlational Strength and Computational Algebra of Synaptic Connections Between Neurons | Eberhard E. Fetz | 1987 | https://papers.nips.cc/paper/15-correlational-strength-and-computational-algebra-of-synaptic-connections-between-neurons.pdf |
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| A Neural Network Classifier Based on Coding Theory | Tzi-Dar Chiueh, Rodney Goodman | 1987 | https://papers.nips.cc/paper/48-a-neural-network-classifier-based-on-coding-theory.pdf |
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| Mathematical Analysis of Learning Behavior of Neuronal Models | John Y. Cheung, Massoud Omidvar | 1987 | https://papers.nips.cc/paper/55-mathematical-analysis-of-learning-behavior-of-neuronal-models.pdf |
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| On the Power of Neural Networks for Solving Hard Problems | Jehoshua Bruck, https://papers.nips.cc/author/joseph-w-goodman-107 | 1987 | https://papers.nips.cc/paper/70-on-the-power-of-neural-networks-for-solving-hard-problems.pdf |
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| Analysis and Comparison of Different Learning Algorithms for Pattern Association Problems | J. Bernasconi | 1987 | https://papers.nips.cc/paper/83-analysis-and-comparison-of-different-learning-algorithms-for-pattern-association-problems.pdf |
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| Learning on a General Network | Amir F. Atiya | 1987 | https://papers.nips.cc/paper/9-learning-on-a-general-network.pdf |
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| Connectivity Versus Entropy | Yaser S. Abu-Mostafa | 1987 | https://papers.nips.cc/paper/63-connectivity-versus-entropy.pdf |
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1988 NeurIPS
| Constraints on Adaptive Networks for Modeling Human Generalization | Mark A. Gluck, M. Pavel, Van Henkle | 1988 | https://papers.nips.cc/paper/106-constraints-on-adaptive-networks-for-modeling-human-generalization.pdf |
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| Fast Learning in Multi-Resolution Hierarchies | John Moody | 1988 | https://papers.nips.cc/paper/175-fast-learning-in-multi-resolution-hierarchies.pdf |
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| Self Organizing Neural Networks for the Identification Problem | Manoel Fernando Tenorio, Wei-Tsih Lee | 1988 | https://papers.nips.cc/paper/149-self-organizing-neural-networks-for-the-identification-problem.pdf |
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| Learning by Choice of Internal Representations | Tal Grossman, Ronny Meir, Eytan Domany | 1988 | https://papers.nips.cc/paper/118-learning-by-choice-of-internal-representations.pdf |
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| Scaling and Generalization in Neural Networks: A Case Study | Subutai Ahmad, Gerald Tesauro | 1988 | https://papers.nips.cc/paper/129-scaling-and-generalization-in-neural-networks-a-case-study.pdf |
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| Does the Neuron "Learn" like the Synapse? | Raoul Tawel | 1988 | https://papers.nips.cc/paper/184-does-the-neuron-learn-like-the-synapse.pdf |
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| A Connectionist Expert System that Actually Works | Richard Fozzard, Gary Bradshaw, Louis Ceci | 1988 | https://papers.nips.cc/paper/135-a-connectionist-expert-system-that-actually-works.pdf |
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| An Information Theoretic Approach to Rule-Based Connectionist Expert System | Rodney M. Goodman, John W. Miller, Padhraic Smyth | 1988 | https://papers.nips.cc/paper/150-an-information-theoretic-approach-to-rule-based-connectionist-expert-systems.pdf |
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| Theory of Self-Organization of Cortical Maps | Shigeru Tanaka | 1988 | https://papers.nips.cc/paper/132-theory-of-self-organization-of-cortical-maps.pdf |
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| A Bifurcation Theory Approach to the Programming of Periodic Attractors in Network Models of Olfactory Cortex | Bill Baird | 1988 | https://papers.nips.cc/paper/145-a-bifurcation-theory-approach-to-the-programming-of-periodic-attractors-in-network-models-of-olfactory-cortex.pdf |
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| Training a 3-Node Neural Network is NP-Complete | Avrim Blum, Ronald L. Rivest | 1988 | https://papers.nips.cc/paper/125-training-a-3-node-neural-network-is-np-complete.pdf |
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| Links Between Markov Models and Multilayer Perceptrons | Hervé Bourlard, C. J. Wellekens | 1988 | https://papers.nips.cc/paper/163-links-between-markov-models-and-multilayer-perceptrons.pdf |
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| A Massively Parallel Self-Tuning Context-Free Parser | Eugene Santos Jr. | 1988 | https://papers.nips.cc/paper/165-a-massively-parallel-self-tuning-context-free-parser.pdf |
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| Learning Sequential Structure in Simple Recurrent Networks | David Servan-Schreiber, Axel Cleeremans, James L. McClelland | 1988 | https://papers.nips.cc/paper/188-learning-sequential-structure-in-simple-recurrent-networks.pdf |
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| A Self-Learning Neural Network | Allan Hartstein, R. H. Koch | 1988 | https://papers.nips.cc/paper/189-a-self-learning-neural-network.pdf |
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| Neural Architecture | Valentino Braitenberg | 1988 | https://papers.nips.cc/paper/167-neural-architecture.pdf |
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1989 NeurIPS
| Neural Networks: The Early Days | Jack D. Cowan | 1989 | https://papers.nips.cc/paper/198-neural-networks-the-early-days.pdf |
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| A Cost Function for Internal Representations | Anders Krogh, C. I. Thorbergsson, John A. Hertz | 1989 | https://papers.nips.cc/paper/229-a-cost-function-for-internal-representations.pdf |
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| Sequential Decision Problems and Neural Networks | A. G. Barto, R. S. Sutton, C. J. C. H. Watkins | 1989 | https://papers.nips.cc/paper/194-sequential-decision-problems-and-neural-networks.pdf |
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| Asymptotic Convergence of Backpropagation: Numerical Experiments | Subutai Ahmad, Gerald Tesauro, Yu He | 1989 | https://papers.nips.cc/paper/238-asymptotic-convergence-of-backpropagation-numerical-experiments.pdf |
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| A Method for the Associative Storage of Analog Vectors | Amir F. Atiya, Yaser S. Abu-Mostafa | 1989 | https://papers.nips.cc/paper/206-a-method-for-the-associative-storage-of-analog-vectors.pdf |
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| Generalization and Scaling in Reinforcement Learning | David H. Ackley, Michael L. Littman | 1989 | https://papers.nips.cc/paper/208-generalization-and-scaling-in-reinforcement-learning.pdf |
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| Meiosis Networks | Stephen Jose Hanson | 1989 | https://papers.nips.cc/paper/227-meiosis-networks.pdf |
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| Learning in Higher-Order "Artificial Dendritic Trees | Tony Bell | 1989 | https://papers.nips.cc/paper/202-learning-in-higher-order-artificial-dendritic-trees.pdf |
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| A Self-organizing Associative Memory System for Control Applications | Michael Hormel | 1989 | https://papers.nips.cc/paper/251-a-self-organizing-associative-memory-system-for-control-applications.pdf |
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| Can Simple Cells Learn Curves? A Hebbian Model in a Structured Environment | William R. Softky, Daniel M. Kammen | 1989 | https://papers.nips.cc/paper/252-can-simple-cells-learn-curves-a-hebbian-model-in-a-structured-environment.pdf |
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| Reading a Neural Code | William Bialek, Fred Rieke, Robert R. de Ruyter van Steveninck, David Warland | 1989 | https://papers.nips.cc/paper/272-reading-a-neural-code.pdf |
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1990 NeurIPS
| VLSI Implementations of Learning and Memory Systems: A Review | Mark A. Holler | 1990 | https://papers.nips.cc/paper/334-vlsi-implementations-of-learning-and-memory-systems-a-review.pdf |
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| Second Order Properties of Error Surfaces: Learning Time and Generalization | Yann LeCun, Ido Kanter, Sara A. Solla | 1990 | https://papers.nips.cc/paper/314-second-order-properties-of-error-surfaces-learning-time-and-generalization.pdf |
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| Learning Theory and Experiments with Competitive Networks | Griff L. Bilbro, David E. van den Bout | 1990 | https://papers.nips.cc/paper/357-learning-theory-and-experiments-with-competitive-networks.pdf |
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| Evolution and Learning in Neural Networks: The Number and Distribution of Learning Trials Affect the Rate of Evolution | Ron Keesing, David G. Stork | 1990 | https://papers.nips.cc/paper/420-evolution-and-learning-in-neural-networks-the-number-and-distribution-of-learning-trials-affect-the-rate-of-evolution.pdf |
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| A Framework for the Cooperation of Learning Algorithms | Léon Bottou, Patrick Gallinari | 1990 | https://papers.nips.cc/paper/308-a-framework-for-the-cooperation-of-learning-algorithms.pdf |
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| A competitive modular connectionist architecture | Robert A. Jacobs, Michael I. Jordan | 1990 | https://papers.nips.cc/paper/430-a-competitive-modular-connectionist-architecture.pdf |
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| Connectionist Implementation of a Theory of Generalization | Roger N. Shepard, Sheila Kannappan | 1990 | https://papers.nips.cc/paper/351-connectionist-implementation-of-a-theory-of-generalization.pdf |
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| A Neural Expert System with Automated Extraction of Fuzzy If-Then Rules and Its Application to Medical Diagnosis | Yoichi Hayashi | 1990 | https://papers.nips.cc/paper/355-a-neural-expert-system-with-automated-extraction-of-fuzzy-if-then-rules-and-its-application-to-medical-diagnosis.pdf |
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| Adaptive Range Coding | Bruce E. Rosen, James M. Goodwin, Jacques J. Vidal | 1990 | https://papers.nips.cc/paper/321-adaptive-range-coding.pdf |
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| Signal Processing by Multiplexing and Demultiplexing in Neurons | David C. Tam | 1990 | https://papers.nips.cc/paper/347-signal-processing-by-multiplexing-and-demultiplexing-in-neurons.pdf |
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| Shaping the State Space Landscape in Recurrent Networks | Patrice Simard, Jean Pierre Raysz, Bernard Victorri | 1990 | https://papers.nips.cc/paper/382-shaping-the-state-space-landscape-in-recurrent-networks.pdf |
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| Associative Memory in a Network of `Biological' Neurons | Wulfram Gerstner | 1990 | https://papers.nips.cc/paper/371-associative-memory-in-a-network-of-biological-neurons.pdf |
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| Stochastic Neurodynamics | J.D. Cowan | 1990 | https://papers.nips.cc/paper/424-stochastic-neurodynamics.pdf |
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| Self-organization of Hebbian Synapses in Hippocampal Neurons | Thomas H. Brown, Zacha |
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