Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
Do ReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining Sang Michael Xie
Neural Information Processing Systems
We then resample a dataset with these domain weights and train a larger, full-sized model.
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FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective Kun Yi
Neural Information Processing Systems
Multivariate time series (MTS) forecasting has shown great importance in numerous industries.
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ANPL: Towards Natural Programming with Interactive Decomposition Di Huang
Neural Information Processing Systems
Though LLMs are capable of generating plausible programs, it's challenging to interact with the LLMs further to revise the program, especially if the user's specific requirements are different from the initial proposal.
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