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Polina Zablotskaia
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2020 – today
- 2023
- [c7]Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Z. Liu:
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study. EMNLP (Findings) 2023: 2980-2992 - [c6]Andrea Schioppa, Katja Filippova, Ivan Titov, Polina Zablotskaia:
Theoretical and Practical Perspectives on what Influence Functions Do. NeurIPS 2023 - [i8]Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Z. Liu:
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study. CoRR abs/2304.08653 (2023) - [i7]Andrea Schioppa, Katja Filippova, Ivan Titov, Polina Zablotskaia:
Theoretical and Practical Perspectives on what Influence Functions Do. CoRR abs/2305.16971 (2023) - [i6]Polina Zablotskaia, Misha Khalman, Rishabh Joshi, Livio Baldini Soares, Shoshana Jakobovits, Joshua Maynez, Shashi Narayan:
Calibrating Likelihoods towards Consistency in Summarization Models. CoRR abs/2310.08764 (2023) - 2022
- [c5]Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov:
Scaling Up Influence Functions. AAAI 2022: 8179-8186 - [c4]Jasmijn Bastings, Sebastian Ebert, Polina Zablotskaia, Anders Sandholm, Katja Filippova:
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification. EMNLP 2022: 976-991 - [i5]Siddhartha Brahma, Polina Zablotskaia, David Mimno:
Breaking BERT: Evaluating and Optimizing Sparsified Attention. CoRR abs/2210.03841 (2022) - 2021
- [c3]Polina Zablotskaia, Edoardo A. Dominici
, Leonid Sigal, Andreas M. Lehrmann:
PROVIDE: a probabilistic framework for unsupervised video decomposition. UAI 2021: 2019-2028 - [i4]Jasmijn Bastings, Sebastian Ebert, Polina Zablotskaia, Anders Sandholm, Katja Filippova:
"Will You Find These Shortcuts?" A Protocol for Evaluating the Faithfulness of Input Salience Methods for Text Classification. CoRR abs/2111.07367 (2021) - [i3]Andrea Schioppa, Polina Zablotskaia, David Vilar, Artem Sokolov:
Scaling Up Influence Functions. CoRR abs/2112.03052 (2021) - 2020
- [i2]Polina Zablotskaia, Edoardo A. Dominici, Leonid Sigal, Andreas M. Lehrmann:
Unsupervised Video Decomposition using Spatio-temporal Iterative Inference. CoRR abs/2006.14727 (2020)
2010 – 2019
- 2019
- [c2]Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao, Leonid Sigal:
DwNet: Dense warp-based network for pose-guided human video generation. BMVC 2019: 51 - [i1]Polina Zablotskaia, Aliaksandr Siarohin, Bo Zhao, Leonid Sigal:
DwNet: Dense warp-based network for pose-guided human video generation. CoRR abs/1910.09139 (2019) - 2016
- [c1]Jun Pang, Polina Zablotskaia, Yang Zhang
On Impact of Weather on Human Mobility in Cities. WISE (2) 2016: 247-256
Coauthor Index
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