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Found 4 papers, 2 papers with code
HEAR: Holistic Evaluation of Audio Representations
The aim of the HEAR benchmark is to develop a general-purpose audio representation that provides a strong basis for learning in a wide variety of tasks and scenarios.
Experience Grounds Language
Language understanding research is held back by a failure to relate language to the physical world it describes and to the social interactions it facilitates.
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
Our evaluations show that, unlike previous bio-inspired models, the latest DNNs rival the representational performance of IT cortex on this visual object recognition task.
PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation
In introducing PyCUDA and PyOpenCL, this article proposes the combination of a dynamic, high-level scripting language with the massive performance of a GPU as a compelling two-tiered computing platform, potentially offering significant performance and productivity advantages over conventional single-tier, static systems.
Distributed, Parallel, and Cluster Computing Software Engineering D.1.2
