Research output per year
Research output per year
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Rohit Babbar
- Computer Science Professors - Assistant professor
- Computer Science - Artificial Intelligence and Machine Learning (AIML) - Assistant professor
- Professorship Babbar Rohit - Assistant professor
- Department of Computer Science - Assistant professor
Person: Professors, tenure track
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Mohammadreza Mohammadnia Qaraei
- Department of Computer Science - Doctoral Candidate
- School common, SCI
- Professorship Babbar Rohit - Doctoral Candidate
Person: Doctoral students, Doctoral studies
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Erik Schultheis
- Department of Computer Science - Doctoral candidate
- School common, SCI
- Professorship Babbar Rohit - Doctoral candidate
Person: Doctoral students, Doctoral studies
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Adversarial examples for extreme multilabel text classification
Mohammadnia Qaraei, M. & Babbar, R., 4 Nov 2022, (E-pub ahead of print) In: Machine Learning. 25 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access27 Downloads (Pure) -
Beyond Standard Performance Measures in Extreme Multi-label Classification
Schultheis, E., Wydmuch, M., Babbar, R. & Dembczynski, K., Aug 2022. 11 p.Research output: Contribution to conference › Paper › Scientific › peer-review
Open Access -
Explainable Publication Year Prediction of Eighteenth Century Texts with the BERT Model
Rastas, I., Ciarán Ryan, Y., Tiihonen, I., Mohammadnia Qaraei, M., Repo, L., Babbar, R., Mäkelä, E., Tolonen, M. & Ginter, F., 2022, Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change. ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, p. 68-77 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Open AccessFile5 Downloads (Pure)
Datasets
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Dismec++
Schultheis, E. (Creator) & Babbar, R. (Supervisor), 2022
DOI: 10.5281/zenodo.6699586, https://zenodo.org/record/6699587
Dataset
Prizes
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NeurIPS 2021 Outstanding Reviewer Award
Schultheis, Erik (Recipient), 15 Oct 2021
Prize: Award or honor granted for a specific work
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Outstanding Reviewer Award ACL 2021 Conference
Babbar, Rohit (Recipient), 12 Jul 2021
Prize: Award or honor granted for a specific work
Activities
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On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification
Erik Schultheis (Speaker)
16 Aug 2022Activity: Talk or presentation types › Conference presentation
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Speeding-up one-versus-all training for extreme classification via mean-separating initialization
Erik Schultheis (Speaker)
21 Sep 2022Activity: Talk or presentation types › Conference presentation
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Convex Surrogates for Unbiased Loss Functions in Extreme Classification With Missing Labels
Erik Schultheis (Speaker), Mohammadreza Mohammadnia Qaraei (Contributor) & Rohit Babbar (Contributor)
23 Apr 2021Activity: Talk or presentation types › Conference presentation