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07/27/2023
Speeding up Fourier Neural Operators via Mixed Precision
The Fourier neural operator (FNO) is a powerful technique for learning s...
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12/06/2022
Self-supervised and Weakly Supervised Contrastive Learning for Frame-wise Action Representations
Previous work on action representation learning focused on global repres...
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10/06/2022
NAS-Bench-Suite-Zero: Accelerating Research on Zero Cost Proxies
Zero-cost proxies (ZC proxies) are a recent architecture performance pre...
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10/12/2021
NAS-Bench-360: Benchmarking Diverse Tasks for Neural Architecture Search
Most existing neural architecture search (NAS) benchmarks and algorithms...
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06/08/2021
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
Tuning hyperparameters is a crucial but arduous part of the machine lear...
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04/30/2018