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Found 7 papers, 0 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.
Recent Advancements in Self-Supervised Paradigms for Visual Feature Representation
Supervised learning requires a large amount of labeled data to reach state-of-the-art performance.
HDRVideo-GAN: Deep Generative HDR Video Reconstruction
We first extract clean LDR frames from noisy LDR video with alternating exposures with a denoising network trained in a self-supervised setting.
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.
