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08/01/2023
Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models
Today, large language models (LLMs) are taught to use new tools by provi...
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07/09/2023
Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance
Score-based Generative Models (SGMs) are a popular family of deep genera...
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06/12/2023
Linear Classifier: An Often-Forgotten Baseline for Text Classification
Large-scale pre-trained language models such as BERT are popular solutio...
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03/10/2023
TSMixer: An all-MLP Architecture for Time Series Forecasting
Real-world time-series datasets are often multivariate with complex dyna...
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11/03/2021
Improving Model Compatibility of Generative Adversarial Networks by Boundary Calibration
Generative Adversarial Networks (GANs) is a powerful family of models th...
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11/01/2021
A Unified View of cGANs with and without Classifiers
Conditional Generative Adversarial Networks (cGANs) are implicit generat...
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07/08/2021
Parameter Selection: Why We Should Pay More Attention to It
The importance of parameter selection in supervised learning is well kno...
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12/06/2018
