The problem of packing equal spheres in a spherical container is a class...
Self-supervised speech pre-training empowers the model with the contextu...
Bilingual lexicon induction induces the word translations by aligning
in...
How to boost speech pre-training with textual data is an unsolved proble...
Previous speech pre-training methods, such as wav2vec2.0 and HuBERT,
pre...
Though some recent works focus on injecting sentiment knowledge into
pre...
Self-supervised learning (SSL) achieves great success in speech recognit...
The advances in attention-based encoder-decoder (AED) networks have brou...
Evaluation metrics play a vital role in the growth of an area as it defi...
Pre-trained models for programming language have achieved dramatic empir...
Attention-based encoder-decoder model has achieved impressive results fo...
Pre-training has proven to be effective in unsupervised machine translat...
Without real bilingual corpus available, unsupervised Neural Machine
Tra...
Language style transferring rephrases text with specific stylistic attri...
Neural Machine Translation (NMT) performs poor on the low-resource langu...
Maximum Likelihood Estimation (MLE) suffers from data sparsity problem i...