Maksims Volkovs

56 papers A* 19A 3Journal 21Unranked 12

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Data-Efficient Multimodal Fusion on a Single GPU. CVPR Noël Vouitsis, Zhaoyan Liu, Satya Krishna Gorti, Valentin Villecroze, Jesse C. Cresswell, Guangwei Yu, Gabriel Loaiza-Ganem, Maksims Volkovs
2024	A*	`conf`	Retrieval & Fine-Tuning for In-Context Tabular Models. NeurIPS Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini
2024	J	`jnl`	Retrieval & Fine-Tuning for In-Context Tabular Models. CoRR Valentin Thomas, Junwei Ma, Rasa Hosseinzadeh, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini
2024	A*	`conf`	Self-supervised Representation Learning from Random Data Projectors. ICLR Yi Sui, Tongzi Wu, Jesse C. Cresswell, Ga Wu, George Stein, Xiao Shi Huang, Xiaochen Zhang, Maksims Volkovs
2024	J	`jnl`	TabDPT: Scaling Tabular Foundation Models. CoRR Junwei Ma, Valentin Thomas, Rasa Hosseinzadeh, Hamidreza Kamkari, Alex Labach, Jesse C. Cresswell, Keyvan Golestan, Guangwei Yu, Maksims Volkovs, Anthony L. Caterini
2023	J	`jnl`	Data-Efficient Multimodal Fusion on a Single GPU. CoRR Noël Vouitsis, Zhaoyan Liu, Satya Krishna Gorti, Valentin Villecroze, Jesse C. Cresswell, Guangwei Yu, Gabriel Loaiza-Ganem, Maksims Volkovs
2023	—	`conf`	DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation. ACL (Findings) Sajad Norouzi, Rasa Hosseinzadeh, Felipe Pérez, Maksims Volkovs
2023	—	`conf`	DuETT: Dual Event Time Transformer for Electronic Health Records. MLHC Alex Labach, Aslesha Pokhrel, Xiao Shi Huang, Saba Zuberi, Seung Eun Yi, Maksims Volkovs, Tomi Poutanen, Rahul G. Krishnan
2023	J	`jnl`	DuETT: Dual Event Time Transformer for Electronic Health Records. CoRR Alex Labach, Aslesha Pokhrel, Xiao Shi Huang, Saba Zuberi, Seung Eun Yi, Maksims Volkovs, Tomi Poutanen, Rahul G. Krishnan
2023	J	`jnl`	MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting. CoRR Linfeng Du, Ji Xin, Alex Labach, Saba Zuberi, Maksims Volkovs, Rahul G. Krishnan
2023	—	`conf`	Robust User Engagement Modeling With Transformers and Self Supervision. RecSys Challenge Yichao Lu, Maksims Volkovs
2023	J	`jnl`	Self-supervised Representation Learning From Random Data Projectors. CoRR Yi Sui, Tongzi Wu, Jesse C. Cresswell, Ga Wu, George Stein, Xiao Shi Huang, Xiaochen Zhang, Maksims Volkovs
2023	A*	`conf`	Temporal Dependencies in Feature Importance for Time Series Prediction. ICLR Kin Kwan Leung, Clayton Rooke, Jonathan Smith, Saba Zuberi, Maksims Volkovs
2022	J	`jnl`	DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers. CoRR Sajad Norouzi, Rasa Hosseinzadeh, Felipe Pérez, Maksims Volkovs
2022	A*	`conf`	Improving Non-Autoregressive Translation Models Without Distillation. ICLR Xiao Shi Huang, Felipe Pérez, Maksims Volkovs
2022	A*	`conf`	MCL: Mixed-Centric Loss for Collaborative Filtering. WWW Zhaolin Gao, Zhaoyue Cheng, Felipe Pérez, Jianing Sun, Maksims Volkovs
2022	A*	`conf`	X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval. CVPR Satya Krishna Gorti, Noël Vouitsis, Junwei Ma, Keyvan Golestan, Maksims Volkovs, Animesh Garg, Guangwei Yu
2022	J	`jnl`	X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval. CoRR Satya Krishna Gorti, Noël Vouitsis, Junwei Ma, Keyvan Golestan, Maksims Volkovs, Animesh Garg, Guangwei Yu
2021	A*	`conf`	Context-aware Scene Graph Generation with Seq2Seq Transformers. ICCV Yichao Lu, Himanshu Rai, Jason Chang, Boris Knyazev, Guangwei Yu, Shashank Shekhar, Graham W. Taylor, Maksims Volkovs
2021	A*	`conf`	HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering. WWW Jianing Sun, Zhaoyue Cheng, Saba Zuberi, Felipe Pérez, Maksims Volkovs
2021	J	`jnl`	Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data. npj Digit. Medicine Mathieu Ravaut, Hamed Sadeghi, Kin Kwan Leung, Maksims Volkovs, Kathy Kornas, Vinyas Harish, Tristan Watson, Gary F. Lewis, Alanna Weisman, Tomi Poutanen, Laura C. Rosella
2021	J	`jnl`	ProxyFL: Decentralized Federated Learning through Proxy Model Sharing. CoRR Shivam Kalra, Junfeng Wen, Jesse C. Cresswell, Maksims Volkovs, Hamid R. Tizhoosh
2021	J	`jnl`	Temporal Dependencies in Feature Importance for Time Series Predictions. CoRR Clayton Rooke, Jonathan Smith, Kin Kwan Leung, Maksims Volkovs, Saba Zuberi
2021	—	`conf`	User Engagement Modeling with Deep Learning and Language Models. RecSys Challenge Maksims Volkovs, Felipe Pérez, Zhaoyue Cheng, Jianing Sun, Sajad Norouzi, Anson Wong, Pawel Jankiewicz, Barum Rho
2021	A*	`conf`	Weakly Supervised Action Selection Learning in Video. CVPR Junwei Ma, Satya Krishna Gorti, Maksims Volkovs, Guangwei Yu
2021	J	`jnl`	Weakly Supervised Action Selection Learning in Video. CoRR Junwei Ma, Satya Krishna Gorti, Maksims Volkovs, Guangwei Yu
2020	A*	`conf`	Improving Transformer Optimization Through Better Initialization. ICML Xiao Shi Huang, Felipe Pérez, Jimmy Ba, Maksims Volkovs
2020	—	`conf`	Predicting Twitter Engagement With Deep Language Models. RecSys Challenge 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	A	`conf`	TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations. RecSys Jin Peng Zhou, Zhaoyue Cheng, Felipe Pérez, Maksims Volkovs
2019	J	`jnl`	Cross-Class Relevance Learning for Temporal Concept Localization. CoRR Junwei Ma, Satya Krishna Gorti, Maksims Volkovs, Ilya Stanevich, Guangwei Yu
2019	J	`jnl`	Diabetes Mellitus Forecasting Using Population Health Data in Ontario, Canada. CoRR Mathieu Ravaut, Hamed Sadeghi, Kin Kwan Leung, Maksims Volkovs, Laura C. Rosella
2019	A*	`conf`	Explore-Exploit Graph Traversal for Image Retrieval. CVPR Cheng Chang, Guangwei Yu, Chundi Liu, Maksims Volkovs
2019	A*	`conf`	Guided Similarity Separation for Image Retrieval. NeurIPS Chundi Liu, Guangwei Yu, Maksims Volkovs, Cheng Chang, Himanshu Rai, Junwei Ma, Satya Krishna Gorti
2019	J	`jnl`	Learning Effective Visual Relationship Detector on 1 GPU. CoRR Yichao Lu, Cheng Chang, Himanshu Rai, Guangwei Yu, Maksims Volkovs
2019	A*	`conf`	Noise Contrastive Estimation for One-Class Collaborative Filtering. SIGIR Ga Wu, Maksims Volkovs, Chee Loong Soon, Scott Sanner, Himanshu Rai
2019	—	`conf`	Robust contextual models for in-session personalization. RecSys Challenge Maksims Volkovs, Anson Wong, Zhaoyue Cheng, Felipe Pérez, Ilya Stanevich, Yichao Lu
2019	J	`jnl`	Semi-Supervised Exploration in Image Retrieval. CoRR Cheng Chang, Himanshu Rai, Satya Krishna Gorti, Junwei Ma, Chundi Liu, Guangwei Yu, Maksims Volkovs
2018	J	`jnl`	Noise Contrastive Estimation for Scalable Linear Models for One-Class Collaborative Filtering. CoRR Ga Wu, Maksims Volkovs, Chee Loong Soon, Scott Sanner, Himanshu Rai
2018	—	`conf`	Two-stage Model for Automatic Playlist Continuation at Scale. RecSys Challenge Maksims Volkovs, Himanshu Rai, Zhaoyue Cheng, Ga Wu, Yichao Lu, Scott Sanner
2017	—	`conf`	DropoutNet: Addressing Cold Start in Recommender Systems. NIPS Maksims Volkovs, Guangwei Yu, Tomi Poutanen
2017	J	`jnl`	Learning Document Embeddings With CNNs. CoRR Chundi Liu, Shunan Zhao, Maksims Volkovs
2015	J	`jnl`	Context Models For Web Search Personalization. CoRR Maksims Volkovs
2015	A*	`conf`	Effective Latent Models for Binary Feedback in Recommender Systems. SIGIR Maksims Volkovs, Guangwei Yu
2015	—	`conf`	Two-Stage Approach to Item Recommendation from User Sessions. RecSys Challenge Maksims Volkovs
2014	A*	`conf`	Continuous data cleaning. ICDE Maksims Volkovs, Fei Chiang, Jaroslaw Szlichta, Renée J. Miller
2014	J	`jnl`	New learning methods for supervised and unsupervised preference aggregation. J. Mach. Learn. Res. Maksims Volkovs, Richard S. Zemel
2013	A	`conf`	CRF framework for supervised preference aggregation. CIKM Maksims Volkovs, Richard S. Zemel
2013	—	`—`	Machine Learning Methods and Models for Ranking. Maksims Volkovs
2012	A*	`conf`	A flexible generative model for preference aggregation. WWW Maksims Volkovs, Richard S. Zemel
2012	—	`conf`	Collaborative Ranking With 17 Parameters. NIPS Maksims Volkovs, Richard S. Zemel
2012	—	`conf`	Efficient Sampling for Bipartite Matching Problems. NIPS Maksims Volkovs, Richard S. Zemel
2012	A	`conf`	Learning to rank by aggregating expert preferences. CIKM Maksims Volkovs, Hugo Larochelle, Richard S. Zemel
2011	A*	`conf`	Learning to rank with multiple objective functions. WWW Krysta M. Svore, Maksims Volkovs, Christopher J. C. Burges
2011	J	`jnl`	Loss-sensitive Training of Probabilistic Conditional Random Fields CoRR Maksims Volkovs, Hugo Larochelle, Richard S. Zemel
2009	A*	`conf`	BoltzRank: learning to maximize expected ranking gain. ICML Maksims Volkovs, Richard S. Zemel
2007	—	`conf`	ConEx: a system for monitoring queries. SIGMOD Conference Chaitanya Mishra, Maksims Volkovs