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Michal Lukasik
Michal Lukasik
Google
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Does label smoothing mitigate label noise?
M Lukasik, S Bhojanapalli, A Menon, S Kumar
International Conference on Machine Learning, 6448-6458, 2020
3712020
Scaling graph neural networks with approximate pagerank
A Bojchevski, J Gasteiger, B Perozzi, A Kapoor, M Blais, B Rózemberczki, ...
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
2912020
Hawkes processes for continuous time sequence classification: an application to rumour stance classification in twitter
M Lukasik, PK Srijith, D Vu, K Bontcheva, A Zubiaga, T Cohn
Proceedings of 54th Annual Meeting of the Association for Computational …, 2016
1832016
Discourse-aware rumour stance classification in social media using sequential classifiers
A Zubiaga, E Kochkina, M Liakata, R Procter, M Lukasik, K Bontcheva, ...
Information Processing & Management 54 (2), 273-290, 2018
1612018
Stance classification in rumours as a sequential task exploiting the tree structure of social media conversations
A Zubiaga, E Kochkina, M Liakata, R Procter, M Lukasik
arXiv preprint arXiv:1609.09028, 2016
1382016
Classifying Tweet Level Judgements of Rumours in Social Media
M Lukasik, T Cohn, K Bontcheva
The 2015 Conference on Empirical Methods on Natural Language Processing., 2015
982015
Large language models with controllable working memory
D Li, AS Rawat, M Zaheer, X Wang, M Lukasik, A Veit, F Yu, S Kumar
arXiv preprint arXiv:2211.05110, 2022
822022
Text segmentation by cross segment attention
M Lukasik, B Dadachev, G Simoes, K Papineni
arXiv preprint arXiv:2004.14535, 2020
772020
Gaussian processes for rumour stance classification in social media
M Lukasik, K Bontcheva, T Cohn, A Zubiaga, M Liakata, R Procter
ACM Transactions on Information Systems (TOIS) 37 (2), 1-24, 2019
452019
Point process modelling of rumour dynamics in social media
M Lukasik, T Cohn, K Bontcheva
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
452015
Pheme: computing veracity: the fourth challenge of big social data
L Derczynski, K Bontcheva, M Lukasik, T Declerck, A Scharl, G Georgiev, ...
442014
Teacher's pet: understanding and mitigating biases in distillation
M Lukasik, S Bhojanapalli, AK Menon, S Kumar
arXiv preprint arXiv:2106.10494, 2021
262021
Is pagerank all you need for scalable graph neural networks
A Bojchevski, J Klicpera, B Perozzi, M Blais, A Kapoor, M Lukasik, ...
ACM KDD, MLG Workshop, 2019
262019
Longitudinal modeling of social media with Hawkes process based on users and networks
PK Srijith, M Lukasik, K Bontcheva, T Cohn
Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017
242017
Using Gaussian processes for rumour stance classification in social media
M Lukasik, K Bontcheva, T Cohn, A Zubiaga, M Liakata, R Procter
arXiv preprint arXiv:1609.01962, 2016
222016
Modeling Tweet Arrival Times using Log-Gaussian Cox Processes
M Lukasik, PK Srijith, T Cohn, K Bontcheva
The 2015 Conference on Empirical Methods on Natural Language Processing., 2015
222015
Semantic label smoothing for sequence to sequence problems
M Lukasik, H Jain, AK Menon, S Kim, S Bhojanapalli, F Yu, S Kumar
arXiv preprint arXiv:2010.07447, 2020
212020
Computational approach to dendritic spine taxonomy and shape transition analysis
G Bokota, M Magnowska, T Kuśmierczyk, M Łukasik, M Roszkowska, ...
Frontiers in Computational Neuroscience 10, 140, 2016
202016
Leveraging redundancy in attention with reuse transformers
S Bhojanapalli, A Chakrabarti, A Veit, M Lukasik, H Jain, F Liu, YW Chang, ...
arXiv preprint arXiv:2110.06821, 2021
192021
Evaluation of features for author name disambiguation using linear support vector machines
PJ Dendek, L Bolikowski, M Lukasik
2012 10th IAPR International Workshop on Document Analysis Systems, 440-444, 2012
182012
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Artículos 1–20