activity
20192024
most citedBillion-scale semi-supervised learning for image classification

330 citations · 332 across the 4 of their papers we have counts for

collaborators

5 papers

cs.MM2024

Video Seal: Open and Efficient Video Watermarking

Pierre Fernandez, Hady Elsahar, I. Zeki Yalniz +1

The proliferation of AI-generated content and sophisticated video editing tools has made it both important and challenging to moderate digital platforms. Video watermarking address…

cs.CV2023

DeDrift: Robust Similarity Search under Content Drift

Dmitry Baranchuk, Matthijs Douze, Yash Upadhyay +1

The statistical distribution of content uploaded and searched on media sharing sites changes over time due to seasonal, sociological and technical factors. We investigate the impac…

cs.LG2020★ 2 cited

Similarity Search for Efficient Active Learning and Search of Rare Concepts

Cody Coleman, Edward Chou, Julian Katz-Samuels +7

Many active learning and search approaches are intractable for large-scale industrial settings with billions of unlabeled examples. Existing approaches search globally for the opti…

cs.CV2020

NoiseRank: Unsupervised Label Noise Reduction with Dependence Models

Karishma Sharma, Pinar Donmez, Enming Luo +2

Label noise is increasingly prevalent in datasets acquired from noisy channels. Existing approaches that detect and remove label noise generally rely on some form of supervision, w…

cs.CV2019★ 330 cited

Billion-scale semi-supervised learning for image classification

I. Zeki Yalniz, Hervé Jégou, Kan Chen +2

This paper presents a study of semi-supervised learning with large convolutional networks. We propose a pipeline, based on a teacher/student paradigm, that leverages a large collec…