Search Results for author:
Found 8 papers, 1 papers with code
Tables to LaTeX: structure and content extraction from scientific tables
In this paper, we adapt the transformer-based language modeling paradigm for scientific table structure and content extraction.
AutoCoder: Leveraging Transformers for Automatic Code Synthesis
Program synthesis from natural language descriptions is a challenging task.
Adversarial Robustness of Program Synthesis Models
The resurgence of automatic program synthesis has been observed with the rise of deep learning.
On Adversarial Robustness of Synthetic Code Generation
In this paper, we specifically experiment with \textsc{AlgoLisp} DSL-based generative models and showcase the existence of significant dataset bias through different classes of adversarial examples.
ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX
This paper discusses the dataset, tasks, participants' methods, and results of the ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX.
TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables
Information Extraction (IE) from the tables present in scientific articles is challenging due to complicated tabular representations and complex embedded text.
PlantDoc: A Dataset for Visual Plant Disease Detection
Early detection of plant diseases remains difficult due to the lack of lab infrastructure and expertise.
Weakly-Supervised Deep Learning for Domain Invariant Sentiment Classification
The task of learning a sentiment classification model that adapts well to any target domain, different from the source domain, is a challenging problem.
