Volkovs, Maksims

18 publications

NeurIPS 2025 TabDPT: Scaling Tabular Foundation Models on Real Data Junwei Ma, Valentin Thomas, Rasa Hosseinzadeh, Alex Labach, Jesse C. Cresswell, Keyvan Golestan, Guangwei Yu, Anthony L. Caterini, Maksims Volkovs
CVPR 2024 Data-Efficient Multimodal Fusion on a Single GPU Noël Vouitsis, Zhaoyan Liu, Satya Krishna Gorti, Valentin Villecroze, Jesse C. Cresswell, Guangwei Yu, Gabriel Loaiza-Ganem, Maksims Volkovs
NeurIPS 2024 Retrieval & Fine-Tuning for In-Context Tabular Models Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony Caterini
ICMLW 2024 Retrieval & Fine-Tuning for In-Context Tabular Models Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini
ICLR 2024 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
MLHC 2023 DuETT: Dual Event Time Transformer for Electronic Health Records Alex Labach, Aslesha Pokhrel, Xiao Shi Huang, Saba Zuberi, Seung Eun Yi, Maksims Volkovs, Tomi Poutanen, Rahul G. Krishnan
NeurIPSW 2023 Self-Supervised Representation Learning from Random Data Projectors Yi Sui, Tongzi Wu, Jesse Cresswell, Ga Wu, George Stein, Xiao Shi Huang, Xiaochen Zhang, Maksims Volkovs
ICLR 2023 Temporal Dependencies in Feature Importance for Time Series Prediction Kin Kwan Leung, Clayton Rooke, Jonathan Smith, Saba Zuberi, Maksims Volkovs
ICLR 2022 Improving Non-Autoregressive Translation Models Without Distillation Xiao Shi Huang, Felipe Perez, Maksims Volkovs
CVPR 2022 X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval Satya Krishna Gorti, Noël Vouitsis, Junwei Ma, Keyvan Golestan, Maksims Volkovs, Animesh Garg, Guangwei Yu
ICCV 2021 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
CVPR 2021 Weakly Supervised Action Selection Learning in Video Junwei Ma, Satya Krishna Gorti, Maksims Volkovs, Guangwei Yu
ICML 2020 Improving Transformer Optimization Through Better Initialization Xiao Shi Huang, Felipe Perez, Jimmy Ba, Maksims Volkovs
NeurIPS 2019 Guided Similarity Separation for Image Retrieval Chundi Liu, Guangwei Yu, Maksims Volkovs, Cheng Chang, Himanshu Rai, Junwei Ma, Satya Krishna Gorti
NeurIPS 2017 DropoutNet: Addressing Cold Start in Recommender Systems Maksims Volkovs, Guangwei Yu, Tomi Poutanen
NeurIPS 2012 Collaborative Ranking with 17 Parameters Maksims Volkovs, Richard S. Zemel
NeurIPS 2012 Efficient Sampling for Bipartite Matching Problems Maksims Volkovs, Richard S. Zemel
ICML 2009 BoltzRank: Learning to Maximize Expected Ranking Gain Maksims Volkovs, Richard S. Zemel