22 citations · 23 across the 8 of their papers we have counts for
9 papers
From Offline Proxies to Online Decisions: A Layered Engagement Evaluation Framework for Conversational AI
Xuanyi Li, Vaskar Nath, Hossein Amirkhani +2
Online A/B experiments are the decision standard for user engagement, but traffic and readout time limit how many conversational-AI changes can be tested. We ask whether an offline…
Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities
Ali Modarressi, Hossein Amirkhani, Mohammad Taher Pilehvar
Several proposals have been put forward in recent years for improving out-of-distribution (OOD) performance through mitigating dataset biases. A popular workaround is to train a ro…
Multi-view graph structure learning using subspace merging on Grassmann manifold
Razieh Ghiasi, Hossein Amirkhani, Alireza Bosaghzadeh
Many successful learning algorithms have been recently developed to represent graph-structured data. For example, Graph Neural Networks (GNNs) have achieved considerable successes…
Graph Neural Networks: a bibliometrics overview
Abdalsamad Keramatfar, Mohadeseh Rafiee, Hossein Amirkhani
Recently, graph neural networks have become a hot topic in machine learning community. This paper presents a Scopus based bibliometric overview of the GNNs research since 2004, whe…
Don't Discard All the Biased Instances: Investigating a Core Assumption in Dataset Bias Mitigation Techniques
Hossein Amirkhani, Mohammad Taher Pilehvar
Existing techniques for mitigating dataset bias often leverage a biased model to identify biased instances. The role of these biased instances is then reduced during the training o…
Ensemble Learning-Based Approach for Improving Generalization Capability of Machine Reading Comprehension Systems
Razieh Baradaran, Hossein Amirkhani
Machine Reading Comprehension (MRC) is an active field in natural language processing with many successful developed models in recent years. Despite their high in-distribution accu…