5 citations · 9 across the 4 of their papers we have counts for
4 papers
Aligning benchmark datasets for table structure recognition
Brandon Smock, Rohith Pesala, Robin Abraham
Benchmark datasets for table structure recognition (TSR) must be carefully processed to ensure they are annotated consistently. However, even if a dataset's annotations are self-co…
uGLAD: Sparse graph recovery by optimizing deep unrolled networks
Harsh Shrivastava, Urszula Chajewska, Robin Abraham +1
Probabilistic Graphical Models (PGMs) are generative models of complex systems. They rely on conditional independence assumptions between variables to learn sparse representations…
GriTS: Grid table similarity metric for table structure recognition
Brandon Smock, Rohith Pesala, Robin Abraham
In this paper, we propose a new class of metric for table structure recognition (TSR) evaluation, called grid table similarity (GriTS). Unlike prior metrics, GriTS evaluates the co…
Multilingual Molecular Representation Learning via Contrastive Pre-training
Zhihui Guo, Pramod Sharma, Andy Martinez +2
Molecular representation learning plays an essential role in cheminformatics. Recently, language model-based approaches have gained popularity as an alternative to traditional expe…