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AGI & CoCoSci

837 items from yuzheshi/awesome-agi-cocosci ★398

  1. A Bayesian Analysis of Some Non-parametric Problems jstor.org

    The Annals of Statistics, 1973. [All Versions]. [Preprint]. A classic review on non-parametric problems.

  2. Defending Abduction journals.uchicago.edu

    Philosophy of Science, 1999. [All Versions].

  3. Two lines: A valid alternative to the invalid testing of U-shaped relationships with quadratic regressions journals.sagepub.com

    Advances in Methods and Practices in Psychological Science, 2018. [All Versions]. An alternative method to test the statistical significance of U-shaped relationships.

  4. Idiosyncratic Tower of Babel: Individual differences in word-meaning representation increase as word abstractness… journals.sagepub.com

    Psychological Science, 2021. [All Versions]. [All Versions]. Humans primarily rely on language to communicate, on the basis of a shared understanding of the basic building blocks of communication: words. Do we mean the same things when we use the same words? Although cognitive…

  5. Learning attribute grammars for movement primitive sequencing journals.sagepub.com

    International Journal of Robotics Research, 2020. [All Versions]. Movement primitives are a well studied and widely applied concept in modern robotics. However, composing primitives out of an existing library has shown to be a challenging problem. This work proposes the use of…

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  6. The Picture Exchange Communication System journals.sagepub.com

    Behavior Modification, 1994. [All Versions].

  7. Rapid Assimilation of External Objects Into the Body Schema journals.sagepub.com

    Psychological Science, 2010. [All Versions].

  8. The uses and complexity of argument structures in expert and student persuasive writing journals.sagepub.com

    Written Communication, 1998. [All Versions]. A behaviorial study revealing the argument structures exploited by people in argumentative writing.

  9. The Experimental Design Assistant journals.plos.org

    PLoS Biology, 2017. [All Versions]. [Nature Methods Correspondence]. [EDA Website]. The EDA is a web-based tool that guides the in vivo researcher through the experimental design and analysis process, providing automated feedback on the proposed design and generating a…

  10. A Survey of Preference-Based Reinforcement Learning Methods jmlr.org

    Journal of Machine Learning Research, 2017. [All Versions].

  11. Analysis of Langevin Monte Carlo via Convex Optimization jmlr.org

    Journal of Machine Learning Research, 2019. [All Versions]. This paper provides new insights on the Unadjusted Langevin Algorithm. The authors show that this method can be formulated as the first order optimization algorithm for an objective functional defined on the…

  12. The Indian Buffet Process: An Introduction and Review jmlr.org

    Journal of Machine Learning Research, 2011. [All Versions]. The Indian buffet process is a stochastic process defining a probability distribution over equivalence classes of sparse binary matrices with a finite number of rows and an unbounded number of columns. This…

  13. Temporal and Object Quantification Networks jiajunwu.com

    IJCAI'21, 2021. [All Versions].

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  14. Biocoder: A programming language for standardizing and automating biology protocols jbioleng.biomedcentral.com

    Journal of Biological Engineering, 2010. [All Versions]. [Project]. [Microsoft Page] This paper introduces BioCoder, a C++ library that enables biologists to express the exact steps needed to execute a protocol. In addition to being suitable for automation, BioCoder converts…

  15. The Meaning of "Theory" jamacoartney.net

    Sociological Theory, 2008. [All Versions]. A philosophical account on the definition of "theory" in social science (also can be generalized to natural science).

  16. Identification of Causal Effects Using Instrumental Variables jakebowers.org

    Journal of the American Statistical Association, 1996. [All Versions]. The original paper on Instrumental Variables for natural sociology studies.

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  17. Adapting Behavior via Intrinsic Reward: A Survey and Empirical Study jair.org

    Journal of Artificial Intelligence Research, 2020. [All Versions].

  18. From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning jair.org

    Journal of Artificial Intelligence Research, 2018. [All Versions]. This work considers the problem of constructing abstract representations for planning in high-dimensional, continuous environments. The authors assume an agent equipped with a collection of high-level actions…

  19. Learning Explanatory Rules from Noisy Data jair.org

    Journal of Artificial Intelligence Research, 2018. [All Versions]. The original paper for differential Inductive Logic Programming.

  20. Reinforcement learning: A survey jair.org

    Journal of Artificial Intelligence Research, 1996. [All Versions]. Leslie Kaelbling's review on reinforcement learning.

  21. Probabilistic Sufficient Explanations ijcai.org

    IJCAI'21, 2021. [All Versions]. Understanding the behavior of learned classifiers is an important task, and various black-box explanations, logical reasoning approaches, and model-specific methods have been proposed. This paper introduces probabilistic sufficient explanations…

  22. The Discovery of the Equator or Concept Driven Learning ijcai.org

    IJCAI'83, 1983. [All Versions]. The original paper on second-order metarules.

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  23. Deep Forest: Towards An Alternative to Deep Neural Networks ijcai.org

    IJCAI'17, 2017. [All Versions]. [Project]. This paper proposes gcForest, a decision tree ensemble approach with performance highly competitive to deep neural networks in a broad range of tasks. In contrast to deep neural networks which require great effort in hyper-parameter…

  24. Bayesian Inverse Reinforcement Learning ijcai.org

    IJCAI'07, 2007. [All Versions]. A Bayesian account on classic inverse reinforcement learning.

  25. Visual Commonsense R-CNN ieeexplore.ieee.org

    CVPR'20, 2020. [All Versions].

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  26. From Recognition to Cognition: Visual Commonsense Reasoning ieeexplore.ieee.org

    CVPR'19, 2019. [All Versions]. [Project].

  27. Algorithmic Information Theory ieeexplore.ieee.org

    IBM Journal of Research and Development, 1977. [All Versions]. Chaitin's original paper on Algorithmic Information Theory.

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  28. A Domain-Specific Language for Product-Process-Resource Modeling ieeexplore.ieee.org

    ETFA'21, 2021. [All Versions]. This paper presents the design of the PPR-DSL to effectively and efficiently represent Product-Process-Resource (PPR) aspects and evaluate constraints defined for modeling PPR views in the Formalized Process Description standard (VDI 3682).

  29. Detecting Unseen Visual Relations Using Analogies ieeexplore.ieee.org

    CVPR'19, 2019. [All Versions].

  30. Connecting Touch and Vision via Cross-Modal Prediction ieeexplore.ieee.org

    CVPR'19, 2019. [All Versions]. [Project]. Humans perceive the world using multi-modal sensory inputs such as vision, audition, and touch. This work investigates the cross-modal connection between vision and touch. The main challenge in this cross-domain modeling task lies in…

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  31. Network dissection: Quantifying interpretability of deep visual representations ieeexplore.ieee.org

    CVPR'17, 2017. [All Versions]. [Project]. [Dataset: Places365]. The original paper on visualizing the class activation maps to explain convolutional neural networks.

  32. No Grammar to Rule Them All: A Survey of JSON-style DSLs for Visualization ieeexplore.ieee.org

    IEEE Transactions on Visualization and Computer Graphics, 2022. [All Versions]. There has been substantial growth in the use of JSON-based grammars, as well as other standard data serialization languages, to create visualizations. Each of these grammars serves a purpose: some…

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  33. Visual Concept Programming: A Visual Analytics Approach to Injecting Human Intelligence at Scale ieeexplore.ieee.org

    IEEE Transactions on Visualization and Computer Graphics, 2023. [All Versions]. This paper presents Visual Concept Programming, a first-of-its-kind visual analytics approach of using visual concepts to program image data at scale while requiring a few human efforts.

  34. Explainable Robotic Plan Execution Monitoring Under Partial Observability ieeexplore.ieee.org

    IEEE Transactions on Robotics, 2022. [All Versions]. Successful plan generation for autonomous systems is necessary but not sufficient to guarantee reaching a goal state by an execution of a plan. Various discrepancies between an expected state and the observed state may occur…

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  35. Data-Efficient Learning for Complex and Real-Time Physical Problem Solving Using Augmented Simulation ieeexplore.ieee.org

    Robotics and Automation Letters, 2021. [All Versions].

  36. Semi-Supervised Abductive Learning and Its Application to Theft Judicial Sentencing ieeexplore.ieee.org

    ICDM'20, 2020. [All Versions]. [Preprint]. In many practical tasks, there are usually two kinds of common information: cheap unlabeled data and domain knowledge in the form of symbols. There are some attempts using one single information source, such as semi-supervised learning…

  37. Domain Specific Language for Smart Contract Development ieeexplore.ieee.org

    ICBC'20, 2020. [All Versions]. [Preprint]. This research addresses the understanding hardness raised from the conceptual discrepancy between contractual clauses and corresponding code of the Solidity programming language, by the design and study of a domain-specific smart…

  38. A Review of Tactile Information: Perception and Action Through Touch ieeexplore.ieee.org

    IEEE Transactions on Robotics, 2020. [All Versions]. [Preprint]. Tactile sensing is a key sensor modality for robots interacting with their surroundings. These sensors provide a rich and diverse set of data signals that contain detailed information collected from contacts…

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  39. Cooperative Training of Descriptor and Generator Networks ieeexplore.ieee.org

    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018. [All Versions]. This paper studies the cooperative training of two generative models for image modeling and synthesis. Both models are parametrized by convolutional neural networks (ConvNets). The first model…

  40. Taking the Human Out of the Loop: A Review of Bayesian Optimization ieeexplore.ieee.org

    Proceedings of the IEEE, 2015. [All Versions]. [Preprint]. Big Data applications are typically associated with systems involving large numbers of users, massive complex software systems, and large-scale heterogeneous computing and storage architectures. The construction of such…

  41. Minimax entropy principle and its application to texture modeling ieeexplore.ieee.org

    Neural Computing, 1997. [All Versions]. [Preprint]. This article proposes a general theory and methodology, called the minimax entropy principle, for building statistical models for images (or signals) in a variety of applications. This principle consists of two parts. The…

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