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Relational inductive biases, deep learning, and graph networks
Artificial intelligence (AI) has undergone a renaissance recently, making major progress in key domains such as vision, language, control, and decision-making. This has been due, in part, to cheapExpand
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Jupyter Notebooks - a publishing format for reproducible computational workflows
It is increasingly necessary for researchers in all fields to write computer code, and in order to reproduce research results, it is important that this code is published. We present JupyterExpand
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Simulation as an engine of physical scene understanding
In a glance, we can perceive whether a stack of dishes will topple, a branch will support a child’s weight, a grocery bag is poorly packed and liable to tear or crush its contents, or a tool isExpand
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psiTurk: An open-source framework for conducting replicable behavioral experiments online
Online data collection has begun to revolutionize the behavioral sciences. However, conducting carefully controlled behavioral experiments online introduces a number of new of technical andExpand
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LanczosNet : Multi-Scale Deep Graph Convolutional Networks
Relational data can generally be represented as graphs. For processing such graph structured data, we propose LanczosNet, which uses the Lanczos algorithm to construct low rank approximations of theExpand
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Generating Plans that Predict Themselves
Collaboration requires coordination, and we coordinate by anticipating our teammates' future actions and adapting to their plan. In some cases, our teammates' actions early on can give us a clearExpand
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Internal physics models guide probabilistic judgments about object dynamics
Many human activities require precise judgments about the physical properties and dynamics of multiple objects. Classic work suggests that people’s intuitive models of physics are relatively poor andExpand
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Relevant and Robust
The authors discuss computational models in psychology. They are exact, fully stated scientific hypothesis. Probabilistic models specifically formalize hypotheses about the beliefs of agents, theirExpand
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Pragmatic-Pedagogic Value Alignment
As intelligent systems gain autonomy and capability, it becomes vital to ensure that their objectives match those of their human users; this is known as the value-alignment problem. In robotics,Expand
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Inferring mass in complex scenes by mental simulation
After observing a collision between two boxes, you can immediately tell which is empty and which is full of books based on how the boxes moved. People form rich perceptions about the physicalExpand
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