Search Results for author:
Found 12 papers, 3 papers with code
ABCD: A Graph Framework to Convert Complex Sentences to a Covering Set of Simple Sentences
On DeSSE, which has a more even balance of complex sentence types, our model achieves higher accuracy on the number of atomic sentences than an encoder-decoder baseline.
Personalized Keyphrase Detection using Speaker and Environment Information
In this paper, we introduce a streaming keyphrase detection system that can be easily customized to accurately detect any phrase composed of words from a large vocabulary.
Unitary Approximate Message Passing for Sparse Bayesian Learning
Sparse Bayesian learning (SBL) can be implemented with low complexity based on the approximate message passing (AMP) algorithm.
Assessing Post-Disaster Damage from Satellite Imagery using Semi-Supervised Learning Techniques
To respond to disasters such as earthquakes, wildfires, and armed conflicts, humanitarian organizations require accurate and timely data in the form of damage assessments, which indicate what buildings and population centers have been most affected.
Reinforcement Learning Control of Robotic Knee with Human in the Loop by Flexible Policy Iteration
We are motivated by the real challenges presented in a human-robot system to develop new designs that are efficient at data level and with performance guarantees such as stability and optimality at systems level.
EmotionLines: An Emotion Corpus of Multi-Party Conversations
A total of 29, 245 utterances from 2, 000 dialogues are labeled in EmotionLines.
Challenges in Providing Automatic Affective Feedback in Instant Messaging Applications
Instant messaging is one of the major channels of computer mediated communication.
Visual Storytelling
We introduce the first dataset for sequential vision-to-language, and explore how this data may be used for the task of visual storytelling.
Approximate Message Passing with Nearest Neighbor Sparsity Pattern Learning
We consider the problem of recovering clustered sparse signals with no prior knowledge of the sparsity pattern.
A Survey of Current Datasets for Vision and Language Research
Integrating vision and language has long been a dream in work on artificial intelligence (AI).
TF-Label: a Topological-Folding Labeling Scheme for Reachability Querying in a Large Graph
We propose TF-label, an efficient and scalable labeling scheme for processing reachability queries.
