The global trends of urbanization and increased personal mobility force ...
Real-time traffic state estimation is essential for intelligent
transpor...
The IARAI Traffic4cast competitions at NeurIPS 2019 and 2020 showed that...
Deep neural networks have demonstrated superior performance in short-ter...
We describe an unsupervised method to create pseudo-parallel corpora for...
We present the Multilingual Amazon Reviews Corpus (MARC), a large-scale
...
Pre-trained multilingual contextual embeddings have demonstrated
state-o...
We discuss the problem of echographic transcription in autoregressive
se...
We present our winning solution to the Open Images 2019 Visual Relations...
Applying resolution-preserving blocks is a common practice to maximize
i...
Contextual word embeddings (e.g. GPT, BERT, ELMo, etc.) have demonstrate...
We incorporate an explicit neural interlingua into a multilingual
encode...
We describe a prototype dialogue response generation model for the custo...
Canonical Correlation Analysis (CCA) is a widely used spectral technique...
Canonical Correlation Analysis (CCA) is a widely used statistical tool w...
We propose a new two stage algorithm LING for large scale regression
pro...
In Natural Language Processing (NLP) tasks, data often has the following...