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Results: 1,025
Number of items: 1,025
  • Open Access
    Sepliarskaia, A. (2019). Understanding user goals by analyzing logged interactions and asking the right questions. [Thesis, fully internal, Universiteit van Amsterdam].
  • Open Access
    Lucic, A., Haned, H., & de Rijke, M. (2019). Contrastive Explanations for Large Errors in Retail Forecasting Predictions through Monte Carlo Simulations. In T. Miller, R. Weber, & D. Magazzeni (Eds.), Proceedings of the IJCAI 2019 Workshop on Explainable Artificial Intelligence (pp. 66-72). IJCAI. https://arxiv.org/abs/1908.00085v1
  • Open Access
    Lucic, A., Haned, H., & de Rijke, M. (2019). Explaining Predictions from Tree-based Boosting Ensembles. In Proceedings of FACTS-IR 2019 ArXiv. https://arxiv.org/abs/1907.02582
  • Open Access
    Chen, W., Ren, P., Cai, F., & de Rijke, M. (2019). Improving End-to-End Sequential Recommendations with Intent-aware Diversification. ArXiv. https://arxiv.org/abs/1908.10171
  • Open Access
    Bleeker, M., & de Rijke, M. (2019). Bidirectional Scene Text Recognition with a Single Decoder. (v1 ed.) ArXiv. https://arxiv.org/abs/1912.03656
  • Open Access
    Pei, J., Ren, P., Monz, C., & de Rijke, M. (2019). Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation. (v1 ed.) ArXiv. https://arxiv.org/abs/1911.08151
  • Open Access
    Sepliarskaia, A., Kiseleva, J., & de Rijke, M. (2019). Evaluating Disentangled Representations. (v1 ed.) ArXiv. https://arxiv.org/abs/1910.05587
  • Open Access
    Baan, J., ter Hoeve, M., van der Wees, M., Schuth, A., & de Rijke, M. (2019). Understanding Multi-Head Attention in Abstractive Summarization. (v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.1911.03898
  • Open Access
    Baan, J., ter Hoeve, M., van der Wees, M., Schuth, A., & de Rijke, M. (2019). Do Transformer Attention Heads Provide Transparency in Abstractive Summarization? In Proceedings of FACTS-IR 2019 ArXiv. https://arxiv.org/abs/1907.00570
  • Open Access
    Lin, Y., Ren, P., Chen, Z., Yu, D., Ma, J., de Rijke, M., & Cheng, X. (2019). From Personalization to Privatization: Meta Matrix Factorization for Private Rating Predictions. (v1 ed.) ArXiv.
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