26 citations · 28 across the 3 of their papers we have counts for
3 papers
A Broad Ensemble Learning System for Drifting Stream Classification
Sepehr Bakhshi, Pouya Ghahramanian, Hamed Bonab +1
In a data stream environment, classification models must handle concept drift efficiently and effectively. Ensemble methods are widely used for this purpose; however, the ones avai…
Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval
Zhiqi Huang, Hamed Bonab, Sheikh Muhammad Sarwar +2
Pretrained contextualized representations offer great success for many downstream tasks, including document ranking. The multilingual versions of such pretrained representations pr…
Query-driven Segment Selection for Ranking Long Documents
Youngwoo Kim, Razieh Rahimi, Hamed Bonab +1
Transformer-based rankers have shown state-of-the-art performance. However, their self-attention operation is mostly unable to process long sequences. One of the common approaches…