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Jin, Z.; Chauhan, G.; Tse, B.; Sachan, M.; Mihalcea, R.: How Good Is NLP? A Sober Look at NLP Tasks through the Lens of Social Impact. In: Findings of ACL: ACL-IJCNLP 2021, S. 3099 - 3113 (Hg. Zong, C.; Xia, F.; Li, W.; Navigli, R.). Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021), Online, 01. August 2021 - 06. August 2021. Association for Computational Linguistics, Stroudsburg, Pennsylvania (2021)
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Kalyan, A.; Kumar, A.; Chandrasekaran, A.; Sabharwal, A.; Clark, P.: How Much Coffee Was Consumed During EMNLP 2019? Fermi Problems: A New Reasoning Challenge for AI. In: 2021 Conference on Empirical Methods in Natural Language Processing - Proceedings of the Conference, S. 7318 - 7328 (Hg. Moens, M.-F.; Huang, X.; Specia, L.; Wen-tau Yih, S.). Conference on Empirical Methods in Natural Language Processing (EMNLP 2021), Punta Cana, 07. November 2021 - 11. November 2021. Association for Computational Linguistics, Stroudsburg, PA (2021)
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Purnendu; Novack, S.; Acome, E.; Alistar, M.; Keplinger, C.; Gross, M. D.; Bruns, C.; Leithinger, D.: Electriflow: Augmenting Books With Tangible Animation Using Soft Electrohydraulic Actuators. In: SIGGRAPH '21: ACM SIGGRAPH 2021 Labs, 8. Special Interest Group on Computer Graphics and Interactive Techniques Conference (SIGGRAPH 2021), Virtual Event, 09. August 2021 - 13. August 2021. ACM, New York, NY (2021)
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Mohammadi, K.; Karimi, A.-H.; Barthe, G.; Valera, I.: Scaling Guarantees for Nearest Counterfactual Explanations. In: AIES '21: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, S. 177 - 187. AAAI/ACM Conference on AI, Ethics, and Society (AIES 2021), Virtual Event, 19. Mai 2021 - 21. Mai 2021. ACM, New York, NY (2021)
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Bradshaw, J.; Paige, B.; Kusner, M.; Segler, M.; Hernández-Lobato, J. M.: Barking up the right tree: an approach to search over molecule synthesis DAGs. In: Advances in Neural Information Processing Systems 33, Bd. 9, S. 6852 - 6866 (Hg. Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M. F.; Lin, H.). 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Online, 06. Dezember 2020 - 12. Dezember 2020. Curran Associates, Inc., Red Hook, NY (2021)
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Chen, X.; Wang, Z.; Tang, S.; Muandet, K.: MATE: Plugging in Model Awareness to Task Embedding for Meta Learning. In: Advances in Neural Information Processing Systems 33, Bd. 15, S. 11865 - 11877 (Hg. Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M. F.; Lin, H.). 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Online, 06. Dezember 2020 - 12. Dezember 2020. Curran Associates, Inc., Red Hook, NY (2021)
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Gorham, J.; Raj, A.; Mackey, L.: Stochastic Stein Discrepancies. In: Advances in Neural Information Processing Systems 33, Bd. 22, S. 17931 - 17942 (Hg. Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M. F.; Lin, H.). 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Online, 06. Dezember 2020 - 12. Dezember 2020. Curran Associates, Inc., Red Hook, NY (2021)
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Gresele, L.; Fissore, G.; Javaloy, A.; Schölkopf, B.; Hyvärinen, A.: Relative gradient optimization of the Jacobian term in unsupervised deep learning. In: Advances in Neural Information Processing Systems 33, Bd. 20, S. 16567 - 16578 (Hg. Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M. F.; Lin, H.). 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Online, 06. Dezember 2020 - 12. Dezember 2020. Curran Associates, Inc., Red Hook, NY (2021)
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Karimi, A.-H.; von Kügelgen, J.; Schölkopf, B.; Valera, I.: Algorithmic recourse under imperfect causal knowledge: a probabilistic approach. In: Advances in Neural Information Processing Systems 33, Bd. 1, S. 265 - 277 (Hg. Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M. F.; Lin, H.). 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Online, 06. Dezember 2020 - 12. Dezember 2020. Curran Associates, Inc., Red Hook, NY (2021)
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Kilbertus, N.; Kusner, M. J.; Silva, R.: A Class of Algorithms for General Instrumental Variable Models. In: Advances in Neural Information Processing Systems 33, Bd. 24, S. 20108 - 20119 (Hg. Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M. F.; Lin, H.). 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Online, 06. Dezember 2020 - 12. Dezember 2020. Curran Associates, Inc., Red Hook, NY (2021)
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Kübler, J.; Jitkrittum, W.; Schölkopf, B.; Muandet, K.: Learning Kernel Tests Without Data Splitting. In: Advances in Neural Information Processing Systems 33, Bd. 8, S. 6245 - 6255 (Hg. Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M. F.; Lin, H.). 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Online, 06. Dezember 2020 - 12. Dezember 2020. Curran Associates, Inc. (2021)
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Locatello, F.; Weissenborn, D.; Unterthiner, T.; Mahendran, A.; Heigold, G.; Uszkoreit, J.; Dosovitskiy, A.; Kipf, T.: Object-Centric Learning with Slot Attention. In: Advances in Neural Information Processing Systems 33, Bd. 14, S. 11525 - 11538 (Hg. Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M. F.; Lin, H.). 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Online, 06. Dezember 2020 - 12. Dezember 2020. Curran Associates, Inc., Red Hook, NY (2021)
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Mastakouri, A.; Schölkopf, B.: Causal analysis of Covid-19 Spread in Germany. In: Advances in Neural Information Processing Systems 33, Bd. 4, S. 3153 - 3163 (Hg. Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M. F.; Lin, H.). 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Online, 06. Dezember 2020 - 12. Dezember 2020. Curran Associates, Inc., Red Hook, NY (2021)
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