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03/08/2023
Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression Recognition
Machine learning models automatically learn discriminative features from...
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09/18/2021
ReaSCAN: Compositional Reasoning in Language Grounding
The ability to compositionally map language to referents, relations, and...
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09/12/2021
Not All Negatives are Equal: Label-Aware Contrastive Loss for Fine-grained Text Classification
Fine-grained classification involves dealing with datasets with larger n...
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07/31/2021
Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition
Modern emotion recognition systems are trained to recognize only a small...
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07/29/2021
An Ethical Framework for Guiding the Development of Affectively-Aware Artificial Intelligence
The recent rapid advancements in artificial intelligence research and de...
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06/29/2021
A Systematic Evaluation of Domain Adaptation in Facial Expression Recognition
Facial Expression Recognition is a commercially important application, b...
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01/01/2021
On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification
BERT, as one of the pretrianed language models, attracts the most attent...
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10/15/2020
Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) and Targeted ASBA (TABSA) allow f...
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10/10/2020
Structured Self-Attention Weights Encode Semantics in Sentiment Analysis
Neural attention, especially the self-attention made popular by the Tran...
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10/09/2020
Pragmatically Informative Color Generation by Grounding Contextual Modifiers
Grounding language in contextual information is crucial for fine-grained...
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07/30/2020
Improving Multi-Agent Cooperation using Theory of Mind
Recent advances in Artificial Intelligence have produced agents that can...
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11/22/2019
Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset
Human emotions unfold over time, and more affective computing research h...
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09/03/2019
Robot Capability and Intention in Trust-based Decisions across Tasks
In this paper, we present results from a human-subject study designed to...
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07/08/2019
Attending to Emotional Narratives
Attention mechanisms in deep neural networks have achieved excellent per...
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05/30/2019
Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series
Integrating deep learning with latent state space models has the potenti...
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05/27/2019
Bayesian Inference of Social Norms as Shared Constraints on Behavior
People act upon their desires, but often, also act in adherence to impli...
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03/15/2019
Applying Probabilistic Programming to Affective Computing
Affective Computing is a rapidly growing field spurred by advancements i...
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12/12/2018