14 citations · 25 across the 7 of their papers we have counts for
4 papers · 1 filter
Hard-Negative Sampling for Contrastive Learning: Optimal Representation Geometry and Neural- vs Dimensional-Collapse
Ruijie Jiang, Thuan Nguyen, Shuchin Aeron +1
For a widely-studied data model and general loss and sample-hardening functions we prove that the losses of Supervised Contrastive Learning (SCL), Hard-SCL (HSCL), and Unsupervised…
Supervised Contrastive Learning with Hard Negative Samples
Ruijie Jiang, Thuan Nguyen, Prakash Ishwar +1
Through minimization of an appropriate loss function such as the InfoNCE loss, contrastive learning (CL) learns a useful representation function by pulling positive samples close t…
Hard Negative Sampling via Regularized Optimal Transport for Contrastive Representation Learning
Ruijie Jiang, Prakash Ishwar, Shuchin Aeron
We study the problem of designing hard negative sampling distributions for unsupervised contrastive representation learning. We propose and analyze a novel min-max framework that s…
Automatic coding of students' writing via Contrastive Representation Learning in the Wasserstein space
Ruijie Jiang, Julia Gouvea, David Hammer +2
Qualitative analysis of verbal data is of central importance in the learning sciences. It is labor-intensive and time-consuming, however, which limits the amount of data researcher…