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Found 5 papers, 4 papers with code
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
We introduce SOLAR 10. 7B, a large language model (LLM) with 10. 7 billion parameters, demonstrating superior performance in various natural language processing (NLP) tasks.
Lightweight Boosting Models for User Response Prediction Using Adversarial Validation
The ACM RecSys Challenge 2023, organized by ShareChat, aims to predict the probability of the app being installed.
Neural Ideal Point Estimation Network
Understanding politics is challenging because the politics take the influence from everything.
Adversarial Dropout for Recurrent Neural Networks
Successful application processing sequential data, such as text and speech, requires an improved generalization performance of recurrent neural networks (RNNs).
Dirichlet Variational Autoencoder
The experimental results show that 1) DirVAE models the latent representation result with the best log-likelihood compared to the baselines; and 2) DirVAE produces more interpretable latent values with no collapsing issues which the baseline models suffer from.
