511 citations · 1.4k across the 29 of their papers we have counts for
5 papers · 1 filter
LRTA: A Transparent Neural-Symbolic Reasoning Framework with Modular Supervision for Visual Question Answering
Weixin Liang, Feiyang Niu, Aishwarya Reganti +2
The predominant approach to visual question answering (VQA) relies on encoding the image and question with a "black-box" neural encoder and decoding a single token as the answer li…
Neural Group Testing to Accelerate Deep Learning
Weixin Liang, James Zou
Recent advances in deep learning have made the use of large, deep neural networks with tens of millions of parameters. The sheer size of these networks imposes a challenging comput…
ALICE: Active Learning with Contrastive Natural Language Explanations
Weixin Liang, James Zou, Zhou Yu
Training a supervised neural network classifier typically requires many annotated training samples. Collecting and annotating a large number of data points are costly and sometimes…
Beyond User Self-Reported Likert Scale Ratings: A Comparison Model for Automatic Dialog Evaluation
Weixin Liang, James Zou, Zhou Yu
Open Domain dialog system evaluation is one of the most important challenges in dialog research. Existing automatic evaluation metrics, such as BLEU are mostly reference-based. The…
DAWSON: A Domain Adaptive Few Shot Generation Framework
Weixin Liang, Zixuan Liu, Can Liu
Training a Generative Adversarial Networks (GAN) for a new domain from scratch requires an enormous amount of training data and days of training time. To this end, we propose DAWSO…