22 citations · 23 across the 8 of their papers we have counts for
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cs.LG2021
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…
cs.CL2021
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…
cs.CL2021
Zero-Shot Estimation of Base Models' Weights in Ensemble of Machine Reading Comprehension Systems for Robust Generalization
Razieh Baradaran, Hossein Amirkhani
One of the main challenges of the machine reading comprehension (MRC) models is their fragile out-of-domain generalization, which makes these models not properly applicable to real…