Maksim Podkorytov

According to our database, Maksim Podkorytov authored at least 9 papers between 2017 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Too Much in Common: Shifting of Embeddings in Transformer Language Models and its Implications.

Daniel Bis, Maksim Podkorytov, Xiuwen Liu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

How Can the [MASK] Know? The Sources and Limitations of Knowledge in BERT.

Maksim Podkorytov, Daniel Bis, Xiuwen Liu

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Effects of Architecture and Training on Embedding Geometry and Feature Discriminability in BERT.

Maksim Podkorytov, Daniel Bis, Jinglun Cai, Kobra Amirizirtol, Xiuwen Liu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Hybrid.Poly: A Consolidated Interactive Analytical Polystore System.

Maksim Podkorytov, Michael N. Gubanov

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

2018

Hybrid.AI: A Learning Search Engine for Large-scale Structured Data.

Sean Soderman, Anusha Kola, Maksim Podkorytov, Michael Geyer, Michael N. Gubanov

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Hybrid.Poly: Performance Evaluation of Linear Algebra Analytical Extensions.

Maksim Podkorytov, Michael N. Gubanov

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

CognitiveDB: An Intelligent Navigator for Large-scale Dark Structured Data.

Michael N. Gubanov, Manju Priya, Maksim Podkorytov

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Hybrid.poly: An Interactive Large-Scale In-memory Analytical Polystore.

Maksim Podkorytov, Dylan Soderman, Michael N. Gubanov

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Hybrid.JSON: High-velocity parallel in-memory polystore JSON ingest.

Steven Ortiz, Caner Enbatan, Maksim Podkorytov, Dylan Soderman, Michael N. Gubanov

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017