179 citations · 362 across the 32 of their papers we have counts for
6 papers · 1 filter
ReaSCAN: Compositional Reasoning in Language Grounding
Zhengxuan Wu, Elisa Kreiss, Desmond C. Ong +1
The ability to compositionally map language to referents, relations, and actions is an essential component of language understanding. The recent gSCAN dataset (Ruis et al. 2020, Ne…
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification
Varsha Suresh, Desmond C. Ong
Fine-grained classification involves dealing with datasets with larger number of classes with subtle differences between them. Guiding the model to focus on differentiating dimensi…
Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition
Varsha Suresh, Desmond C. Ong
Modern emotion recognition systems are trained to recognize only a small set of emotions, and hence fail to capture the broad spectrum of emotions people experience and express in…
An Ethical Framework for Guiding the Development of Affectively-Aware Artificial Intelligence
Desmond C. Ong
The recent rapid advancements in artificial intelligence research and deployment have sparked more discussion about the potential ramifications of socially- and emotionally-intelli…
Critically examining the Domain Generalizability of Facial Expression Recognition models
Varsha Suresh, Gerard Yeo, Desmond C. Ong
Facial Expression Recognition is a commercially-important application, but one under-appreciated limitation is that such applications require making predictions on out-of-sample di…
On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification
Zhengxuan Wu, Desmond C. Ong
BERT, as one of the pretrianed language models, attracts the most attention in recent years for creating new benchmarks across GLUE tasks via fine-tuning. One pressing issue is to…