This is a Visual Studio Code extension for Digma, providing continuous feedback to developers. With this extension, developer can see insights related to their code, derived from sources such as ...
This new paper extends our ICML 2023 publication, "Neural Prediction Errors Enable Analogical Visual Reasoning in Human Intelligence Tests", offering a broader framework for supervised and ...
Abstract: Deployed into an open world, object detectors are prone to open-set errors, false positive detections of object classes not present in the training dataset.We propose GMM-Det, a real-time ...
Abstract: Error model has a great effect on the performance of image-based visual servoing scheme, such as convergence rate, smoothness of control inputs (e.g ...
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