Maksims Volkovs

Orcid: 0009-0007-0561-2187

According to our database1, Maksims Volkovs authored at least 49 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Data-Efficient Multimodal Fusion on a Single GPU.
CoRR, 2023

MultiResFormer: Transformer with Adaptive Multi-Resolution Modeling for General Time Series Forecasting.
CoRR, 2023

Self-supervised Representation Learning From Random Data Projectors.
CoRR, 2023

Robust User Engagement Modeling With Transformers and Self Supervision.
Proceedings of the ACM RecSys Challenge 2023, Singapore, 19 September 2023, 2023

DuETT: Dual Event Time Transformer for Electronic Health Records.
Proceedings of the Machine Learning for Healthcare Conference, 2023

Temporal Dependencies in Feature Importance for Time Series Prediction.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers for Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
DiMS: Distilling Multiple Steps of Iterative Non-Autoregressive Transformers.
CoRR, 2022

X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval.
CoRR, 2022

MCL: Mixed-Centric Loss for Collaborative Filtering.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Improving Non-Autoregressive Translation Models Without Distillation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Predicting adverse outcomes due to diabetes complications with machine learning using administrative health data.
npj Digit. Medicine, 2021

ProxyFL: Decentralized Federated Learning through Proxy Model Sharing.
CoRR, 2021

Temporal Dependencies in Feature Importance for Time Series Predictions.
CoRR, 2021

HGCF: Hyperbolic Graph Convolution Networks for Collaborative Filtering.
Proceedings of the WWW '21: The Web Conference 2021, 2021

User Engagement Modeling with Deep Learning and Language Models.
Proceedings of the RecSys Challenge 2021: Proceedings of the Recommender Systems Challenge 2021, 2021

Context-aware Scene Graph Generation with Seq2Seq Transformers.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Weakly Supervised Action Selection Learning in Video.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Predicting Twitter Engagement With Deep Language Models.
Proceedings of the RecSys Challenge '20: Proceedings of the Recommender Systems Challenge 2020, 2020

Improving Transformer Optimization Through Better Initialization.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Learning Effective Visual Relationship Detector on 1 GPU.
CoRR, 2019

Cross-Class Relevance Learning for Temporal Concept Localization.
CoRR, 2019

Semi-Supervised Exploration in Image Retrieval.
CoRR, 2019

Diabetes Mellitus Forecasting Using Population Health Data in Ontario, Canada.
CoRR, 2019

Noise Contrastive Estimation for One-Class Collaborative Filtering.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Robust contextual models for in-session personalization.
Proceedings of the Workshop on ACM Recommender Systems Challenge, 2019

Guided Similarity Separation for Image Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Explore-Exploit Graph Traversal for Image Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Noise Contrastive Estimation for Scalable Linear Models for One-Class Collaborative Filtering.
CoRR, 2018

Two-stage Model for Automatic Playlist Continuation at Scale.
Proceedings of the ACM Recommender Systems Challenge, 2018

2017
Learning Document Embeddings With CNNs.
CoRR, 2017

DropoutNet: Addressing Cold Start in Recommender Systems.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2015
Context Models For Web Search Personalization.
CoRR, 2015

Effective Latent Models for Binary Feedback in Recommender Systems.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Two-Stage Approach to Item Recommendation from User Sessions.
Proceedings of the 2015 International ACM Recommender Systems Challenge, 2015

2014
New learning methods for supervised and unsupervised preference aggregation.
J. Mach. Learn. Res., 2014

Continuous data cleaning.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

2013
Machine Learning Methods and Models for Ranking.
PhD thesis, 2013

CRF framework for supervised preference aggregation.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
A flexible generative model for preference aggregation.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Collaborative Ranking With 17 Parameters.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Efficient Sampling for Bipartite Matching Problems.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Learning to rank by aggregating expert preferences.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Loss-sensitive Training of Probabilistic Conditional Random Fields
CoRR, 2011

Learning to rank with multiple objective functions.
Proceedings of the 20th International Conference on World Wide Web, 2011

2009
BoltzRank: learning to maximize expected ranking gain.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

2007
ConEx: a system for monitoring queries.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007


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