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Antoniadis, A.; Coester, C.; Elias, M.; Polak, A.; Simon, B.: Online Metric Algorithms with Untrusted Predictions. In: Proceedings of the 37th International Conference on Machine Learning, pp. 345 - 355 (Eds. Daumé, H.; Singh, A.). 37th International Conference on Machine Learning, Virtual Conference, July 13, 2020 - July 18, 2020. MLResearchPress (2020)

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Aqeel, W.; Chandrasekaran, B.; Feldmann, A.; Maggs, B. M.: On Landing and Internal Web Pages. In: IMC '20, pp. 680 - 695. 20th ACM Internet Measurement Conference, Virtual Event, USA, October 27, 2020 - October 29, 2020. ACM, New York, NY (2020)

Arnaout, H.; Razniewski, S.; Weikum, G.: Enriching Knowledge Bases with Interesting Negative Statements. In: Automated Knowledge Base Construction. 2nd Conference on Automated Knowledge Base Construction, Virtual Conference, June 22, 2020 - June 24, 2020. OpenReview (2020)

Arunachalam, S.; Chakraborty, S.; Koucký, M.; Saurabh, N.; de Wolf, R.: Improved Bounds on Fourier Entropy and Min-entropy. In: 37th International Symposium on Theoretical Aspects of Computer Science, 45, pp. 1 - 19 (Eds. Paul, C.; Bläser, M.). 37th International Symposium on Theoretical Aspects of Computer Science, Montpellier, France, March 10, 2020 - March 13, 2020. Schloss Dagstuhl, Wadern (2020)

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Becker, R.; Emek, Y.; Lenzen, C.: Low Diameter Graph Decompositions by Approximate Distance Computation. In: 11th Innovations in Theoretical Computer Science Conference, 50 (Ed. Vidick, T.). 11th Innovations in Theoretical Computer Science Conference, Seattle, WA, USA, January 12, 2020 - January 14, 2020. Schloss Dagstuhl, Wadern (2020)

Belth, C.; Zheng, X.; Vreeken, J.; Koutra, D.: What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization. In: Proceedings of The World Wide Web Conference, pp. 1115 - 1126 (Eds. Huang, Y.; King, I.; Liu, T.-Y.; van Steen, M.). The World Wide Web Conference, Taipei, Taiwan, April 20, 2020 - April 24, 2020. ACM, New York, NY (2020)

Bernard, F.; Suri, Z. K.; Theobalt, C.: MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 13823 - 13832. 33rd IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA (Virtual), June 14, 2020 - June 19, 2020. IEEE, Piscataway, NJ (2020)

Bhatnagar, B. L.; Sminchisescu, C.; Theobalt, C.; Pons-Moll, G.: Combining Implicit Function Learning and Parametric Models for 3D Human Reconstruction. In: Computer Vision -- ECCV 2020, pp. 311 - 329 (Eds. Vedaldi, A.; Bischof, H.; Brox, T.; Frahm, J.-M.). 16th European Conference on Computer Vision, Glasgow, UK, August 23, 2020 - August 28, 2020. Springer, Berlin (2020)

Bhatnagar, B. L.; Sminchisescu, C.; Theobalt, C.; Pons-Moll, G.: LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration. In: Advances in Neural Information Processing Systems 33, pp. 12909 - 12922 (Eds. Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M. F.; Lin, H.). 34th Conference on Neural Information Processing Systems, Virtual Event, December 06, 2020 - December 12, 2020. Curran Associates, Inc. (2020)

Bhattacharya, S.; Nanongkai, D.; Saranurak, T.: Coarse-Grained Complexity for Dynamic Algorithms. In: Proceedings of the Thirty-First ACM-SIAM Symposium on Discrete Algorithms, pp. 476 - 494 (Ed. Chawla, S.). 31st Annual ACM-SIAM Symposium on Discrete Algorithms, Salt Lake City, UT, USA, January 05, 2020 - January 08, 2020. SIAM, Philadelphia, PA (2020)

Bhattacharyya, A.; Mahajan, S.; Fritz, M.; Schiele, B.; Roth, S.: Normalizing Flows With Multi-Scale Autoregressive Priors. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 8412 - 8421. 33rd IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA (Virtual), June 14, 2020 - June 19, 2020. IEEE, Piscataway, NJ (2020)

Biega, A. J.; Schmidt, J.; Saha Roy, R.: Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions. In: Advances in Information Retrieval, pp. 110 - 117 (Eds. Jose, J. M.; Yilmaz, E.; Magalhães, J.; Castells, P.; Ferro, N. et al.). 42nd European Conference on IR Research, Lisbon, Portugal, April 14, 2020 - April 17, 2020. Springer, Berlin (2020)

Božič, A.; Zollhöfer, M.; Theobalt, C.; Nießner, M.: DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 7000 - 7010. 33rd IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA (Virtual), June 14, 2020 - June 19, 2020. IEEE, Piscataway, NJ (2020)