Name
Affiliation
Papers
MAKSIMS VOLKOVS
Univ Toronto, Dept Comp Sci, Toronto, ON M5S 1A1, Canada
25
Collaborators
Citations 
PageRank 
47
216
14.48
Referers 
Referees 
References 
634
314
204
Search Limit
100634
Title
Citations
PageRank
Year
MCL: Mixed-Centric Loss for Collaborative Filtering00.342022
X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval00.342022
User Engagement Modeling with Deep Learning and Language Models00.342021
HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering30.372021
Weakly Supervised Action Selection Learning in Video10.352021
TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations10.362020
Predicting Twitter Engagement With Deep Language Models00.342020
Guided Similarity Separation for Image Retrieval00.342019
Explore-Exploit Graph Traversal For Image Retrieval20.352019
Noise Contrastive Estimation for One-Class Collaborative Filtering40.392019
Robust contextual models for in-session personalization10.372019
Noise Contrastive Estimation for Scalable Linear Models for One-Class Collaborative Filtering.00.342018
DropoutNet: Addressing Cold Start in Recommender Systems.80.462017
Effective Latent Models for Binary Feedback in Recommender Systems200.772015
Continuous data cleaning.110.622014
New learning methods for supervised and unsupervised preference aggregation.130.702014
CRF framework for supervised preference aggregation60.462013
Collaborative Ranking With 17 Parameters.270.902012
Learning to rank by aggregating expert preferences60.442012
Efficient Sampling for Bipartite Matching Problems.20.382012
A flexible generative model for preference aggregation231.102012
Learning to rank with multiple objective functions281.012011
Loss-sensitive Training of Probabilistic Conditional Random Fields10.342011
BoltzRank: learning to maximize expected ranking gain552.062009
ConEx: a system for monitoring queries41.022007