research
∙
10/21/2022
WikiWhy: Answering and Explaining Cause-and-Effect Questions
As large language models (LLMs) grow larger and more sophisticated, asse...
share
research
∙
10/12/2022
TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs
Recent years have witnessed much interest in temporal reasoning over kno...
research
∙
09/19/2022
Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces
Analogical Reasoning problems challenge both connectionist and symbolic ...
research
∙
09/21/2021
Multi-Modal Model Predictive Control through Batch Non-Holonomic Trajectory Optimization: Application to Highway Driving
Standard Model Predictive Control (MPC) or trajectory optimization appro...
research
∙
09/14/2021
Multilevel profiling of situation and dialogue-based deep networks for movie genre classification using movie trailers
Automated movie genre classification has emerged as an active and essent...
research
∙
05/12/2021
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit
During the ongoing COVID-19 crisis, subreddits on Reddit, such as r/Coro...
research
∙
11/10/2020
Explainable Knowledge Tracing Models for Big Data: Is Ensembling an Answer?
In this paper, we describe our Knowledge Tracing model for the 2020 Neur...
research
∙
07/05/2020
Tweets Sentiment Analysis via Word Embeddings and Machine Learning Techniques
Sentiment analysis of social media data consists of attitudes, assessmen...
research
∙
10/27/2019
PopSGD: Decentralized Stochastic Gradient Descent in the Population Model
The population model is a standard way to represent large-scale decentra...
research
∙
06/18/2018
Learning to Decode 7T-like MR Image Reconstruction from 3T MR Images
Increasing demand for high field magnetic resonance (MR) scanner indicat...
research
∙
01/16/2017