10 citations · 14 across the 4 of their papers we have counts for
5 papers
How Effective is Incongruity? Implications for Code-mix Sarcasm Detection
Aditya Shah, Chandresh Kumar Maurya
The presence of sarcasm in conversational systems and social media like chatbots, Facebook, Twitter, etc. poses several challenges for downstream NLP tasks. This is attributed to t…
A Hardware-Software Stack for Serverless Edge Swarms
Liam Patterson, David Pigorovsky, Brian Dempsey +6
Swarms of autonomous devices are increasing in ubiquity and size, making the need for rethinking their hardware-software system stack critical. We present HiveMind, the first swarm…
FiLMing Multimodal Sarcasm Detection with Attention
Sundesh Gupta, Aditya Shah, Miten Shah +2
Sarcasm detection identifies natural language expressions whose intended meaning is different from what is implied by its surface meaning. It finds applications in many NLP tasks s…
HiveMind: A Scalable and Serverless Coordination Control Platform for UAV Swarms
Justin Hu, Ariana Bruno, Brian Ritchken +4
Swarms of autonomous devices are increasing in ubiquity and size. There are two main trains of thought for controlling devices in such swarms; centralized and distributed control.…
Vector Quantized Spectral Clustering applied to Soybean Whole Genome Sequences
Aditya A. Shastri, Kapil Ahuja, Milind B. Ratnaparkhe +3
We develop a Vector Quantized Spectral Clustering (VQSC) algorithm that is a combination of Spectral Clustering (SC) and Vector Quantization (VQ) sampling for grouping Soybean geno…