Customer feedback is invaluable to companies as they refine their produc...
Emerging psychopathology studies are showing that patterns of changes in...
We introduce a method that takes advantage of high-quality pretrained
mu...
Multiple choice questions (MCQs) are an efficient and common way to asse...
Zero-Shot Relation Extraction (ZRE) is the task of Relation Extraction w...
As convolutional neural networks (CNNs) become more accurate at object
r...
Recent studies suggest that artificial neural networks (ANNs) that match...
Fairness researchers in machine learning (ML) have coalesced around seve...
Aspect-based Sentiment Analysis (ABSA) helps to explain customers' opini...
The performance of reinforcement learning (RL) agents is sensitive to th...
Reading is integral to everyday life, and yet learning to read is a stru...
Most convergence guarantees for stochastic gradient descent with momentu...
To effectively perform the task of next-word prediction, long short-term...
The representations generated by many models of language (word embedding...
Q-learning suffers from overestimation bias, because it approximates the...
The current state-of-the-art object recognition algorithms, deep
convolu...