activity
20192022
most citedPlantDoc: A Dataset for Visual Plant Disease Detection

656 citations · 669 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IR20229 cited

Tables to LaTeX: structure and content extraction from scientific tables

Pratik Kayal, Mrinal Anand, Harsh Desai +1

Scientific documents contain tables that list important information in a concise fashion. Structure and content extraction from tables embedded within PDF research documents is a v…

cs.LG2021

On Adversarial Robustness of Synthetic Code Generation

Mrinal Anand, Pratik Kayal, Mayank Singh

Automatic code synthesis from natural language descriptions is a challenging task. We witness massive progress in developing code generation systems for domain-specific languages (…

cs.IR2021

TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables

Harsh Desai, Pratik Kayal, Mayank Singh

Information Extraction (IE) from the tables present in scientific articles is challenging due to complicated tabular representations and complex embedded text. This paper presents…

cs.CV2019656 cited

PlantDoc: A Dataset for Visual Plant Disease Detection

Davinder Singh, Naman Jain, Pranjali Jain +3

India loses 35% of the annual crop yield due to plant diseases. Early detection of plant diseases remains difficult due to the lack of lab infrastructure and expertise. In this pap…

cs.LG20194 cited

Weakly-Supervised Deep Learning for Domain Invariant Sentiment Classification

Pratik Kayal, Mayank Singh, Pawan Goyal

The task of learning a sentiment classification model that adapts well to any target domain, different from the source domain, is a challenging problem. Majority of the existing ap…