Data in the real-world classification problems are always imbalanced or
...
Polyphonic music generation is still a challenge direction due to its co...
This paper proposes a scenario-based functional testing approach for
enh...
Differential privacy (DP), as a promising privacy-preserving model, has
...
Accurate customer lifetime value (LTV) prediction can help service provi...
This paper considers an anomaly detection problem in which a detection
a...
Deep models often fail to generalize well in test domains when the data
...
Learning embedding table plays a fundamental role in Click-through rate(...
Tabular data is one of the most common data storage formats in business
...
The prior self-supervised learning researches mainly select image-level
...
Testing has been widely recognised as difficult for AI applications. Thi...
Sequential recommender systems aim to model users' evolving interests fr...
In this paper, we propose an end-end model for producing furniture layou...
In this paper, we propose a multiple-domain model for producing a custom...
In this paper, we propose an assistive model that supports professional
...
In this paper, we propose an adversarial model for producing furniture l...
Since deep neural networks were developed, they have made huge contribut...
This paper presents an automated tool called Morphy for datamorphic test...
With the rapid growth of the applications of machine learning (ML) and o...
In the time of Big Data, training complex models on large-scale data
set...
In this paper, we proposed the first practical adversarial attacks again...