5 citations · 16 across the 8 of their papers we have counts for
8 papers
Multilingual Detection of Personal Employment Status on Twitter
Manuel Tonneau, Dhaval Adjodah, João Palotti +2
Detecting disclosures of individuals' employment status on social media can provide valuable information to match job seekers with suitable vacancies, offer social protection, or m…
Social Learning and the Accuracy-Risk Trade-off in the Wisdom of the Crowd
Dhaval Adjodah, Yan Leng, Shi Kai Chong +3
How do we design and deploy crowdsourced prediction platforms for real-world applications where risk is an important dimension of prediction performance? To answer this question, w…
A Study of Compositional Generalization in Neural Models
Tim Klinger, Dhaval Adjodah, Vincent Marois +4
Compositional and relational learning is a hallmark of human intelligence, but one which presents challenges for neural models. One difficulty in the development of such models is…
Leveraging Communication Topologies Between Learning Agents in Deep Reinforcement Learning
Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey +4
A common technique to improve learning performance in deep reinforcement learning (DRL) and many other machine learning algorithms is to run multiple learning agents in parallel. A…
How to Organize your Deep Reinforcement Learning Agents: The Importance of Communication Topology
Dhaval Adjodah, Dan Calacci, Abhimanyu Dubey +3
In this empirical paper, we investigate how learning agents can be arranged in more efficient communication topologies for improved learning. This is an important problem because a…
Large-Scale Experiment on the Importance of Social Learning and Unimodality in the Wisdom of the Crowd
Dhaval Adjodah, Shi Kai Chong, Yan Leng +2
In this study, we build on previous research to understand the conditions within which the Wisdom of the Crowd (WoC) improves or worsens as a result of showing individuals the pred…