142 citations · 282 across the 14 of their papers we have counts for
15 papers
Unified framework for measuring segregation resolves how social and geographical space jointly shape connections
Johannes Happenhofer, Sahil Loomba, Till Hoffmann +2
Our understanding of how geographical and social segregation interact remains limited, as relatively few studies investigate them jointly, and existing approaches often lack a fram…
Search-time Efficient Device Constraints-Aware Neural Architecture Search
Oshin Dutta, Tanu Kanvar, Sumeet Agarwal
Edge computing aims to enable edge devices, such as IoT devices, to process data locally instead of relying on the cloud. However, deep learning techniques like computer vision and…
Discourse Context Predictability Effects in Hindi Word Order
Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal +1
We test the hypothesis that discourse predictability influences Hindi syntactic choice. While prior work has shown that a number of factors (e.g., information status, dependency le…
Dual Mechanism Priming Effects in Hindi Word Order
Sidharth Ranjan, Marten van Schijndel, Sumeet Agarwal +1
Word order choices during sentence production can be primed by preceding sentences. In this work, we test the DUAL MECHANISM hypothesis that priming is driven by multiple different…
NGAME: Negative Mining-aware Mini-batching for Extreme Classification
Kunal Dahiya, Nilesh Gupta, Deepak Saini +16
Extreme Classification (XC) seeks to tag data points with the most relevant subset of labels from an extremely large label set. Performing deep XC with dense, learnt representation…
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents
Kunal Dahiya, Deepak Saini, Anshul Mittal +6
Scalability and accuracy are well recognized challenges in deep extreme multi-label learning where the objective is to train architectures for automatically annotating a data point…