Search Results for author:
Found 8 papers, 7 papers with code
Learning Longer-term Dependencies in RNNs with Auxiliary Losses
Despite recent advances in training recurrent neural networks (RNNs), capturing long-term dependencies in sequences remains a fundamental challenge.
Ranked #13 on
Sequential Image Classification
on Sequential CIFAR-10
A Simple Method for Commonsense Reasoning
Commonsense reasoning is a long-standing challenge for deep learning.
Ranked #9 on
Natural Language Understanding
on PDP60
Do Language Models Have Common Sense?
It has been argued that current machine learning models do not have commonsense, and therefore must be hard-coded with prior knowledge (Marcus, 2018).
Selfie: Self-supervised Pretraining for Image Embedding
Notably, on ImageNet 224 x 224 with 60 examples per class (5%), our method improves the mean accuracy of ResNet-50 from 35. 6% to 46. 7%, an improvement of 11. 1 points in absolute accuracy.
MTet: Multi-domain Translation for English-Vietnamese
We are excited to introduce a new larger and better quality Machine Translation dataset, MTet, which stands for Multi-domain Translation for English and VieTnamese.
ViT5: Pretrained Text-to-Text Transformer for Vietnamese Language Generation
In this work, we perform exhaustive experiments on both Vietnamese Abstractive Summarization and Named Entity Recognition, validating the performance of ViT5 against many other pretrained Transformer-based encoder-decoder models.
MTet: Multi-domain Translation for English and Vietnamese
We introduce MTet, the largest publicly available parallel corpus for English-Vietnamese translation.
Ranked #1 on
Machine Translation
on IWSLT2015 English-Vietnamese
(using extra training data)
Enriching Biomedical Knowledge for Low-resource Language Through Large-Scale Translation
Biomedical data and benchmarks are highly valuable yet very limited in low-resource languages other than English such as Vietnamese.
