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Tobias Schnabel

Where Do We Go From Here? Guidelines For Offline Recommender Evaluation

Nov 02, 2022
Tobias Schnabel

* 8 pages

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EvalRS: a Rounded Evaluation of Recommender Systems

Jul 12, 2022
Jacopo Tagliabue, Federico Bianchi, Tobias Schnabel, Giuseppe Attanasio, Ciro Greco, Gabriel de Souza P. Moreira, Patrick John Chia

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* CIKM 2022 Data Challenge Paper

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Lightweight Compositional Embeddings for Incremental Streaming Recommendation

Feb 04, 2022
Mengyue Hang, Tobias Schnabel, Longqi Yang, Jennifer Neville

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SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization

Nov 18, 2021
Philippe Laban, Tobias Schnabel, Paul N. Bennett, Marti A. Hearst

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* TACL pre-MIT Press publication version; 11 pages, 2 figures, 5 tables

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Keep it Simple: Unsupervised Simplification of Multi-Paragraph Text

Jul 07, 2021
Philippe Laban, Tobias Schnabel, Paul Bennett, Marti A. Hearst

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* Association for Computational Linguistics (2021)
* Accepted at ACL-IJCNLP 2021, 14 pages, 7 figures

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Recommendations as Treatments: Debiasing Learning and Evaluation

May 27, 2016
Tobias Schnabel, Adith Swaminathan, Ashudeep Singh, Navin Chandak, Thorsten Joachims

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* 10 pages in ICML 2016

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