NewEvery arXiv paper, its researchers & institutions — mapped.
the archive

#weak supervision

4 results
cs.CV2019

Learning to Interpret Satellite Images in Global Scale Using Wikipedia

Burak Uzkent, Evan Sheehan, Chenlin Meng +4

The paper introduces WikiSatNet, a dataset that pairs georeferenced Wikipedia articles with satellite images, and uses it to pre‑train models that predict article properties, there…

#satellite imagery#weak supervision#multimodal learning#pretraining
cs.CL2019

DocRED: A Large-Scale Document-Level Relation Extraction Dataset

Yuan Yao, Deming Ye, Peng Li +7

The paper introduces DocRED, a large human‑annotated dataset for extracting relations between entities across multiple sentences in a document, and provides both supervised and dis…

#document-level relation extraction#dataset construction#weak supervision#information extraction
cs.SD2019

Audio Source Separation Using Variational Autoencoders and Weak Class Supervision

Ertuğ Karamatlı, Ali Taylan Cemgil, Serap Kırbız

The paper introduces a method for separating audio sources in mixtures using class‑level labels only, by attaching a variational autoencoder to each source class within a non‑negat…

#source separation#variational autoencoders#weak supervision#generative modeling
cs.CV2019

SF-Net: Structured Feature Network for Continuous Sign Language Recognition

Zhaoyang Yang, Zhenmei Shi, Xiaoyong Shen +1

The paper introduces SF-Net, a structured feature network that learns hierarchical representations at frame, gloss, and sentence levels to improve continuous sign language recognit…

#sign language recognition#continuous recognition#structured feature extraction#weak supervision