16 citations · 30 across the 5 of their papers we have counts for
6 papers
Learning Effective Visual Relationship Detector on 1 GPU
Yichao Lu, Cheng Chang, Himanshu Rai +2
We present our winning solution to the Open Images 2019 Visual Relationship challenge. This is the largest challenge of its kind to date with nearly 9 million training images. Chal…
Cross-Class Relevance Learning for Temporal Concept Localization
Junwei Ma, Satya Krishna Gorti, Maksims Volkovs +2
We present a novel Cross-Class Relevance Learning approach for the task of temporal concept localization. Most localization architectures rely on feature extraction layers followed…
Semi-Supervised Exploration in Image Retrieval
Cheng Chang, Himanshu Rai, Satya Krishna Gorti +4
We present our solution to Landmark Image Retrieval Challenge 2019. This challenge was based on the large Google Landmarks Dataset V2[9]. The goal was to retrieve all database imag…
Diabetes Mellitus Forecasting Using Population Health Data in Ontario, Canada
Mathieu Ravaut, Hamed Sadeghi, Kin Kwan Leung +2
Leveraging health administrative data (HAD) datasets for predicting the risk of chronic diseases including diabetes has gained a lot of attention in the machine learning community…
Noise Contrastive Estimation for Scalable Linear Models for One-Class Collaborative Filtering
Ga Wu, Maksims Volkovs, Chee Loong Soon +2
Previous highly scalable one-class collaborative filtering methods such as Projected Linear Recommendation (PLRec) have advocated using fast randomized SVD to embed items into a la…
Context Models For Web Search Personalization
Maksims Volkovs
We present our solution to the Yandex Personalized Web Search Challenge. The aim of this challenge was to use the historical search logs to personalize top-N document rankings for…