We consider the problem of multi-objective (MO) blackbox optimization using expensive function evaluations, where the goal is to approximate the true Pareto set ...

Based on recent advances in natural language modeling and those in text generation capabilities, we propose a novel data augmentation method for text ...

In this paper, we present TextFooler, a simple but strong baseline to generate adversarial text. By applying it to two fundamental natural language tasks, text ...

DOI: https://doi.org/10.1609/aaai.v34i03.5689. Abstract. This paper presents the first use of graph neural networks (GNNs) for higher-order proof search and ...

The HSIC bottleneck is an alternative to the conventional cross-entropy loss and backpropagation that has a number of distinct advantages. It mitigates ...

We present QuAIL, the first RC dataset to combine text-based, world knowledge and unanswerable questions, and to provide question type annotation that would ...

In this paper, we evaluate the cross-lingual effectiveness of representations from the encoder of a massively multilingual NMT model on 5 downstream ...

Apr 3, 2020 · We evaluate these techniques in a series of text-based games of increasing difficulty based on the TextWorld framework, as well as the iconic ...