most citedpNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems

2 citations · 2 across the 2 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2024

Hedging Is Not All You Need: A Simple Baseline for Online Learning Under Haphazard Inputs

Himanshu Buckchash, Momojit Biswas, Rohit Agarwal +1

Handling haphazard streaming data, such as data from edge devices, presents a challenging problem. Over time, the incoming data becomes inconsistent, with missing, faulty, or new i…