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Found 6 papers, 2 papers with code
Compositional Semantic Parsing with Large Language Models
Humans can reason compositionally when presented with new tasks.
DETR++: Taming Your Multi-Scale Detection Transformer
Convolutional Neural Networks (CNN) have dominated the field of detection ever since the success of AlexNet in ImageNet classification [12].
Token Dropping for Efficient BERT Pretraining
Transformer-based models generally allocate the same amount of computation for each token in a given sequence.
Fast WordPiece Tokenization
For general text, we further propose an algorithm that combines pre-tokenization (splitting the text into words) and our linear-time WordPiece method into a single pass.
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture
We develop a fully discriminative learning approach for supervised Latent Dirichlet Allocation (LDA) model using Back Propagation (i. e., BP-sLDA), which maximizes the posterior probability of the prediction variable given the input document.
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval
The results show that the proposed method in this paper significantly outperforms it for web document retrieval task.
