GNNBench: A Plug-and-Play Deep Learning Benchmarking Platform Focused on System Innovation
The absence of a standardized benchmark for Graph Neural Networks GNNs has led to ignored pitfalls ...
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Nvidia Researchers Developed and Open-Sourced a Standardized Machine Learning Framework for Time Series Forecasting Benchmarking
Time sequence forecasting is a crucial space with wide-ranging functions in finance, climate prediction, and demand ...
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Researchers from Stanford University Propose MLAgentBench: A Suite of Machine Learning Tasks for Benchmarking AI Research Agents
Human scientists can discover the depths of the unknown and make discoveries requiring numerous undetermined selections. ...
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CMU Researchers Introduce WebArena: A Realistic and Reproducible Web Environment with 4+ Real-World Web Apps for Benchmarking Useful Agents
Given the potential for elevated effectivity and broader accessibility, autonomous brokers that may do atypical duties ...
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Benchmarking Robots with Dog-Inspired Barkour
Impressed by dog-agility programs, a crew of scientists from Google DeepMind has developed a robot-agility course ...
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Best Architecture for Your Text Classification Task: Benchmarking Your Options
Picture by Editor In our previous article, we coated quite a lot of approaches to ...
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Meet RoboPianist: A New Benchmarking Suite for High-Dimensional Control in Piano Mastery with Simulated Robot Hands
The gauging course of within the domains of management and reinforcement studying advance is sort of ...
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