9 citations · 14 across the 5 of their papers we have counts for
6 papers
Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors
Alex Rich, Noah Stier, Pradeep Sen +1
The promise of unsupervised multi-view-stereo (MVS) is to leverage large unlabeled datasets, yet current methods underperform when training on difficult data, such as handheld smar…
Remarks on weak-strong uniqueness for two-fluid model
Yang Li, Ewelina Zatorska
This paper concerns with the compressible two-fluid model with algebraic pressure closure. We prove a conditional weak-strong uniqueness principle, meaning that a finite energy wea…
Efficient Big Text Data Clustering Algorithms using Hadoop and Spark
Sergios Gerakidis, Sofia Megarchioti, Basilis Mamalis
Document clustering is a traditional, efficient and yet quite effective, text mining technique when we need to get a better insight of the documents of a collection that could be g…
Sparse Fusion for Multimodal Transformers
Yi Ding, Alex Rich, Mason Wang +4
Multimodal classification is a core task in human-centric machine learning. We observe that information is highly complementary across modalities, thus unimodal information can be…
Augmentation Strategies for Learning with Noisy Labels
Kento Nishi, Yi Ding, Alex Rich +1
Imperfect labels are ubiquitous in real-world datasets. Several recent successful methods for training deep neural networks (DNNs) robust to label noise have used two primary techn…
An Interpretable End-to-end Fine-tuning Approach for Long Clinical Text
Kexin Huang, Sankeerth Garapati, Alexander S. Rich
Unstructured clinical text in EHRs contains crucial information for applications including decision support, trial matching, and retrospective research. Recent work has applied BER…