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

330 citations · 330 across the 3 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

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…