Maksims Volkovs
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
11
Active years
2007–2024
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CVPR | Data-Efficient Multimodal Fusion on a Single GPU. | Nol Vouitsis, Zhaoyan Liu, Satya Krishna Gorti, Valentin Villecroze, Jesse C. Cresswell, Guangwei Yu, Gabriel Loaiza-Ganem, Maksims Volkovs |
| 2024 | ICLR | Self-supervised Representation Learning from Random Data Projectors. | Yi Sui, Tongzi Wu, Jesse C. Cresswell, Ga Wu, George Stein, Xiao Shi Huang, Xiaochen Zhang, Maksims Volkovs |
| 2023 | ACL | DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation. | Sajad Norouzi, Rasa Hosseinzadeh, Felipe Prez, Maksims Volkovs |
| 2023 | ICLR | Temporal Dependencies in Feature Importance for Time Series Prediction. | Kin Kwan Leung, Clayton Rooke, Jonathan Smith, Saba Zuberi, Maksims Volkovs |
| 2023 | RecSys | Robust User Engagement Modeling With Transformers and Self Supervision. | Yichao Lu, Maksims Volkovs |
| 2022 | CVPR | X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval. | Satya Krishna Gorti, Nol Vouitsis, Junwei Ma, Keyvan Golestan, Maksims Volkovs, Animesh Garg, Guangwei Yu |
| 2022 | ICLR | Improving Non-Autoregressive Translation Models Without Distillation. | Xiao Shi Huang, Felipe Prez, Maksims Volkovs |
| 2022 | WWW | MCL: Mixed-Centric Loss for Collaborative Filtering. | Zhaolin Gao, Zhaoyue Cheng, Felipe Prez, Jianing Sun, Maksims Volkovs |
| 2021 | CVPR | Weakly Supervised Action Selection Learning in Video. | Junwei Ma, Satya Krishna Gorti, Maksims Volkovs, Guangwei Yu |
| 2021 | ICCV | Context-aware Scene Graph Generation with Seq2Seq Transformers. | Yichao Lu, Himanshu Rai, Jason Chang, Boris Knyazev, Guangwei Yu, Shashank Shekhar, Graham W. Taylor, Maksims Volkovs |
| 2021 | RecSys | User Engagement Modeling with Deep Learning and Language Models. | Maksims Volkovs, Felipe Prez, Zhaoyue Cheng, Jianing Sun, Sajad Norouzi, Anson Wong, Pawel Jankiewicz, Barum Rho |
| 2021 | WWW | HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering. | Jianing Sun, Zhaoyue Cheng, Saba Zuberi, Felipe Prez, Maksims Volkovs |
| 2020 | ICML | Improving Transformer Optimization Through Better Initialization. | Xiao Shi Huang, Felipe Prez, Jimmy Ba, Maksims Volkovs |
| 2020 | RecSys | Predicting Twitter Engagement With Deep Language Models. | Maksims Volkovs, Zhaoyue Cheng, Mathieu Ravaut, Hojin Yang, Kevin Shen, Jin Peng Zhou, Anson Wong, Saba Zuberi, Ivan Zhang, Nick Frosst, Helen Ngo, Carol Chen, Bharat Venkitesh, Stephen Gou, Aidan N. Gomez |
| 2020 | RecSys | TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations. | Jin Peng Zhou, Zhaoyue Cheng, Felipe Prez, Maksims Volkovs |
| 2019 | CVPR | Explore-Exploit Graph Traversal for Image Retrieval. | Cheng Chang, Guangwei Yu, Chundi Liu, Maksims Volkovs |
| 2019 | RecSys | Robust contextual models for in-session personalization. | Maksims Volkovs, Anson Wong, Zhaoyue Cheng, Felipe Prez, Ilya Stanevich, Yichao Lu |
| 2019 | SIGIR | Noise Contrastive Estimation for One-Class Collaborative Filtering. | Ga Wu, Maksims Volkovs, Chee Loong Soon, Scott Sanner, Himanshu Rai |
| 2018 | RecSys | Two-stage Model for Automatic Playlist Continuation at Scale. | Maksims Volkovs, Himanshu Rai, Zhaoyue Cheng, Ga Wu, Yichao Lu, Scott Sanner |
| 2015 | RecSys | Two-Stage Approach to Item Recommendation from User Sessions. | Maksims Volkovs |
| 2015 | SIGIR | Effective Latent Models for Binary Feedback in Recommender Systems. | Maksims Volkovs, Guangwei Yu |
| 2014 | ICDE | Continuous data cleaning. | Maksims Volkovs, Fei Chiang, Jaroslaw Szlichta, Rene J. Miller |
| 2013 | CIKM | CRF framework for supervised preference aggregation. | Maksims Volkovs, Richard S. Zemel |
| 2012 | CIKM | Learning to rank by aggregating expert preferences. | Maksims Volkovs, Hugo Larochelle, Richard S. Zemel |
| 2012 | WWW | A flexible generative model for preference aggregation. | Maksims Volkovs, Richard S. Zemel |
| 2011 | WWW | Learning to rank with multiple objective functions. | Krysta M. Svore, Maksims Volkovs, Christopher J. C. Burges |
| 2009 | ICML | BoltzRank: learning to maximize expected ranking gain. | Maksims Volkovs, Richard S. Zemel |
| 2007 | SIGMOD | ConEx: a system for monitoring queries. | Chaitanya Mishra, Maksims Volkovs |