Sebastian Bruch
2022
Report on the 1st Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR 2022) at SIGIR 2022
Sebastian Bruch
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Claudio Lucchese
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Franco Maria Nardini
2022 Volume 56 Issue 2
ReNeuIR: Reaching Efficiency in Neural Information Retrieval
Sebastian Bruch
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Claudio Lucchese
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Franco Maria Nardini
SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11 - 15, 2022
2021
An Alternative Cross Entropy Loss for Learning-to-Rank
Sebastian Bruch
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021
2020
A Stochastic Treatment of Learning to Rank Scoring Functions
Sebastian Bruch
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Shuguang Han
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Michael Bendersky
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Marc Najork
WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, Houston, TX, USA, February 3-7, 2020
2019
Neural Learning to Rank using TensorFlow Ranking: A Hands-on Tutorial
Rama Kumar Pasumarthi
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Sebastian Bruch
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Michael Bendersky
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Xuanhui Wang
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019
Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks
Qingyao Ai
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Xuanhui Wang
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Sebastian Bruch
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Nadav Golbandi
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Michael Bendersky
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Marc Najork
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019
An Analysis of the Softmax Cross Entropy Loss for Learning-to-Rank with Binary Relevance
Sebastian Bruch
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Xuanhui Wang
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Michael Bendersky
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Marc Najork
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019
Learning to Rank in Theory and Practice: From Gradient Boosting to Neural Networks and Unbiased Learning
Claudio Lucchese
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Franco Maria Nardini
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Rama Kumar Pasumarthi
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Sebastian Bruch
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Michael Bendersky
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Xuanhui Wang
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Harrie Oosterhuis
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Rolf Jagerman
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Maarten de Rijke
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019
Revisiting Approximate Metric Optimization in the Age of Deep Neural Networks
Sebastian Bruch
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Masrour Zoghi
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Michael Bendersky
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Marc Najork
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019
Co-authors
- Michael Bendersky 6
- Marc Najork 4
- Xuanhui Wang 4
- Claudio Lucchese 3
- Franco Maria Nardini 3
- show all...
Venues
- SIGIR3
- ICTIR3
- WWW1
- WSDM1
- SIGIR Forum1