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Found 6 papers, 1 papers with code
Perturb-and-Compare Approach for Detecting Out-of-Distribution Samples in Constrained Access Environments
Accessing machine learning models through remote APIs has been gaining prevalence following the recent trend of scaling up model parameters for increased performance.
Bridging the Gap for Tokenizer-Free Language Models
Purely character-based language models (LMs) have been lagging in quality on large scale datasets, and current state-of-the-art LMs rely on word tokenization.
On the Importance of Text Analysis for Stock Price Prediction
We investigate the importance of text analysis for stock price prediction.
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