Recent works in relation extraction (RE) have achieved promising benchmark accuracy;
however, our adversarial attack experiments show that these works excessively rely on …

Deep learning in quantum computing seeks to leverage the unique properties of quantum
systems, such as superposition and entanglement, to enhance the performance of deep …

In spite of the superior performance deep neural networks have proven in thousands of
applications in the past few years, addressing the over-sensitivity of these models to noise …