Polina Zablotskaia

Researcher, Google

Joined

September 2020

Names

Polina Zablotskaia (Preferred)

Emails

****@cs.ubc.ca (Confirmed)

****@gmail.com (Confirmed)

****@google.com (Confirmed)

Personal Links

Google Scholar

DBLP

Career & Education History

Researcher

Google (google.com)

2020 – Present

MS student

University of British Columbia (ubc.ca)

2017 – 2020

Advisors, Relations & Conflicts

PhD Advisor

Leonid Sigal

2017 – 2020

Expertise

No areas of expertise listed

Publications

"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification
Katja Filippova, Jasmijn Bastings, Sebastian Ebert, Polina Zablotskaia
- OpenReview Archive Direct Upload
- Readers: Everyone
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study
Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Zhe Liu
- EMNLP 2023 Findings
- Readers: Everyone
Theoretical and Practical Perspectives on what Influence Functions Do
Andrea Schioppa, Katja Filippova, Ivan Titov, Polina Zablotskaia
- NeurIPS 2023 spotlight
- Readers: Everyone
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study
Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Z. Liu
- 2023 (modified: 24 Apr 2023)
- CoRR 2023
- Readers: Everyone
Scaling Up Influence Functions
Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov
- 2022 (modified: 17 Apr 2023)
- AAAI 2022
- Readers: Everyone
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification
Jasmijn Bastings, Sebastian Ebert, Polina Zablotskaia, Anders Sandholm, Katja Filippova
- Published: 01 Jan 2022, Last Modified: 17 May 2023
- EMNLP 2022
- Readers: Everyone
Breaking BERT: Evaluating and Optimizing Sparsified Attention
Siddhartha Brahma, Polina Zablotskaia, David Mimno
- Published: 01 Jan 2022, Last Modified: 17 May 2023
- CoRR 2022
- Readers: Everyone
PROVIDE: a probabilistic framework for unsupervised video decomposition
Polina Zablotskaia, Edoardo A. Dominici, Leonid Sigal, Andreas M. Lehrmann
- 2021 (modified: 24 Apr 2023)
- UAI 2021
- Readers: Everyone
Unsupervised Video Decomposition using Spatio-temporal Iterative Inference
Polina Zablotskaia, Edoardo Alberto Dominici, Leonid Sigal, Andreas Lehrmann
- 28 Sept 2020 (modified: 12 Oct 2025)
- ICLR 2021 Conference Blind Submission
- Readers: Everyone
DwNet: Dense warp-based network for pose-guided human video generation
Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao, Leonid Sigal
- 2019 (modified: 17 Nov 2022)
- BMVC 2019
- Readers: Everyone

View all 11 publications