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Found 11 papers, 3 papers with code
CTC Blank Triggered Dynamic Layer-Skipping for Efficient CTC-based Speech Recognition
Deploying end-to-end speech recognition models with limited computing resources remains challenging, despite their impressive performance.
Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator
Many researchers have focused on designing new forms of self-attention or introducing new parameters to overcome this limitation, however a large portion of them prohibits the model to inherit weights from large pretrained models.
Ranked #1 on
Open-Domain Question Answering
on ELI5
A Structured Self-attentive Sentence Embedding
This paper proposes a new model for extracting an interpretable sentence embedding by introducing self-attention.
Local System Voting Feature for Machine Translation System Combination
In this paper, we enhance the traditional confusion network system combination approach with an additional model trained by a neural network.
GaDei: On Scale-up Training As A Service For Deep Learning
By evaluating the NLC workloads, we show that only the conservative hyper-parameter setup (e. g., small mini-batch size and small learning rate) can guarantee acceptable model accuracy for a wide range of customers.
Distributed Deep Learning for Question Answering
This paper is an empirical study of the distributed deep learning for question answering subtasks: answer selection and question classification.
Applying Deep Learning to Answer Selection: A Study and An Open Task
We apply a general deep learning framework to address the non-factoid question answering task.
