1.7k citations · 1.8k across the 76 of their papers we have counts for
17 papers · 1 filter
Cluster Validation Indices as Self-Supervised Objectives for Text Representation Learning
Kishor Kumar Bhaumik, Nicolas Roque dos Santos, Neil Shah +2
Self-supervised fine-tuning refines the embedding space of a pretrained language encoder without labels. However, the commonly used approaches are computationally expensive. Specif…
JEDI: JEPA-to-Edge Distillation for Efficient Cropland Segmentation from Satellite Imagery
Kishor Kumar Bhaumik, Nicolas Roque dos Santos, Jia Chen +1
Large vision models provide useful representations for remote-sensing segmentation but are often too expensive for deployment at the satellite or field edge. Existing feature-level…
Field-Aware Agent Skill Retrieval
Paimon Goulart, Liang Wu, Kelly Wan +2
As lifelong learning agents accumulate lifelong growing skill banks, retrieving the correct skill becomes an increasingly important bottleneck. Most current skill retrieval methods…
MINT: Tensor Decomposition on Stacked Recurrence Matrices for Time Series Data Mining
Kaamil Kaka, Audrey Der, Evangelos E. Papalexakis +2
Recurrence plots are a time series data mining primitive applied to a variety of domains (e.g. star light curves, sound waveforms, CCT telemetry). This work proposes tensorized sel…
Machine Learning for Complex Instrument Design and Optimization
Barry C. Barish, Jonathan W. Richardson, Evangelos E. Papalexakis +1
In modern experimental physics, particle accelerators and gravitational-wave observatories enable a wide-range of research at the frontiers of science. These instruments are highly…
Multi-modal Rail Crossing Safety Analysis
Paimon Goulart, Chansong Lim, Nícolas Roque dos Santos +4
Given one or more images of a railway crossing, can we leverage visual cues that allow us to robustly estimate how safe it is? Can we improve our ability to do so by introducing st…