35 citations · 124 across the 13 of their papers we have counts for
14 papers
Learning to Transfer for Traffic Forecasting via Multi-task Learning
Yichao Lu
Deep neural networks have demonstrated superior performance in short-term traffic forecasting. However, most existing traffic forecasting systems assume that the training and testi…
Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings
Phillip Keung, Julian Salazar, Yichao Lu +1
We describe an unsupervised method to create pseudo-parallel corpora for machine translation (MT) from unaligned text. We use multilingual BERT to create source and target sentence…
The Multilingual Amazon Reviews Corpus
Phillip Keung, Yichao Lu, György Szarvas +1
We present the Multilingual Amazon Reviews Corpus (MARC), a large-scale collection of Amazon reviews for multilingual text classification. The corpus contains reviews in English, J…
Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings
Phillip Keung, Yichao Lu, Julian Salazar +1
Multilingual contextual embeddings have demonstrated state-of-the-art performance in zero-shot cross-lingual transfer learning, where multilingual BERT is fine-tuned on one source…
Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances
Phillip Keung, Wei Niu, Yichao Lu +2
We discuss the problem of echographic transcription in autoregressive sequence-to-sequence attentional architectures for automatic speech recognition, where a model produces very l…
Learning Effective Visual Relationship Detector on 1 GPU
Yichao Lu, Cheng Chang, Himanshu Rai +2
We present our winning solution to the Open Images 2019 Visual Relationship challenge. This is the largest challenge of its kind to date with nearly 9 million training images. Chal…