482 citations · 727 across the 36 of their papers we have counts for
8 papers · 1 filter
Using Neural Networks for Programming by Demonstration
Karan K. Budhraja, Hang Gao, Tim Oates
Agent-based modeling is a paradigm of modeling dynamic systems of interacting agents that are individually governed by specified behavioral rules. Training a model of such agents t…
Universal Adversarial Perturbation for Text Classification
Hang Gao, Tim Oates
Given a state-of-the-art deep neural network text classifier, we show the existence of a universal and very small perturbation vector (in the embedding space) that causes natural t…
Learning from Observations Using a Single Video Demonstration and Human Feedback
Sunil Gandhi, Tim Oates, Tinoosh Mohsenin +1
In this paper, we present a method for learning from video demonstrations by using human feedback to construct a mapping between the standard representation of the agent and the vi…
Determining the Scale of Impact from Denial-of-Service Attacks in Real Time Using Twitter
Chi Zhang, Bryan Wilkinson, Ashwinkumar Ganesan +1
Denial of Service (DoS) attacks are common in on-line and mobile services such as Twitter, Facebook and banking. As the scale and frequency of Distributed Denial of Service (DDoS)…
Graph Node Embeddings using Domain-Aware Biased Random Walks
Sourav Mukherjee, Tim Oates, Ryan Wright
The recent proliferation of publicly available graph-structured data has sparked an interest in machine learning algorithms for graph data. Since most traditional machine learning…
Hybrid Mortality Prediction using Multiple Source Systems
Isaac Mativo, Yelena Yesha, Michael Grasso +2
The use of artificial intelligence in clinical care to improve decision support systems is increasing. This is not surprising since, by its very nature, the practice of medicine co…