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Found 33 results
Wang C, Martín-Martín R, Xu D, Lv J, Lu C, Fei-Fei L, Savarese S, Zhu Y.  2020.  6-PACK: Category-level 6D Pose Tracker with Anchor-Based Keypoints. Submitted to IEEE International Conference on Robotics and Automation (ICRA).
Ren H, Leskovec J.  2020.  Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs. to appear in NeuroIPS.
Zhang Y, Zhang Y, Qi P, Manning CD, Langlotz CP.  2020.  Biomedical and Clinical English Model Packages in the Stanza Python NLP Library. arXiv preprint arXiv:2007.14640.
Geng Z, Johnson D, Fedkiw R.  2020.  Coercing machine learning to output physically accurate results. Journal of Computational Physics. 406:109099.
Wang G, Ying R, Huang J, Leskovec J.  2020.  Direct Multi-hop Attention based Graph Neural Network. arXiv preprint arXiv:2009.14332.
Wang H, Ren H, Leskovec J.  2020.  Entity Context and Relational Paths for Knowledge Graph Completion. arXiv preprint arXiv:2002.06757.
Wang B, Wang G, Huang J, You J, Leskovec J, Kuo C-CJay.  2020.  Inductive Learning on Commonsense Knowledge Graph Completion. arXiv preprint arXiv:2009.09263.
Shao L, Migimatsu T, Bohg J.  2020.  Learning to Scaffold the Development of Robotic Manipulation Skills. ICRA 2020.
Lee MA, Yi B, Martín-Martín R, Savarese S, Bohg J.  2020.  Multimodal Sensor Fusion with Differentiable Filters and Crossmodal Weights. Proceedings of the International Conference of Intelligent Robots and Systems (IROS).
Ren H, Hu W, Leskovec J.  2020.  Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings. International Conference on Learning Representations.
Wu J, Jin Y, Geng Z, Zhou H, Fedkiw R.  2020.  Recovering Geometric Information with Learned Texture Perturbations. arXiv preprint arXiv:2001.07253.
Wu J, Geng Z, Zhou H, Fedkiw R.  2020.  Skinning a Parameterization of Three-Dimensional Space for Neural Network Cloth. arXiv preprint arXiv:2006.04874.
Qi P, Zhang Y, Zhang Y, Bolton J, Manning CD.  2020.  Stanza: A Python Natural Language Processing Toolkit for Many Human Languages. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations.
Qi P, Zhang Y, Manning CD.  2020.  Stay Hungry, Stay Focused: Generating Informative and Specific Questions in Information-Seeking Conversations. accepted at Findings of EMNLP 2020.
Qi P, Lin X, Mehr L, Wang Z, Manning CD.  2019.  Answering Complex Open-domain Questions Through Iterative Query Generation. Proceedings of the Conference on Empirical Methods for Natural Language Processing and International Joint Conference on Natural Language Processing (EMNLP-IJCNLP).
Swofford M, Peruzzi JCharles, Vázquez M, Martin-Martin R, Savarese S.  2019.  DANTE: Deep Affinity Network for Clustering Conversational Interactants. arXiv preprint arXiv:1907.12910.
Wang C, Xu D, Zhu Y, Martin-Martin R, Fei-Fei L, Savarese S.  2019.  DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Lakkaraju H., Kamar E., Caruana R., Leskovec J..  2019.  Faithful and Customizable Explanations of Black Box Models. Conference on AI, Ethics, and Society (AIES).
Cao K, Ji J, Cao Z, Chang C-Y, Niebles JCarlos.  2019.  Few-shot video classification via temporal alignment. arXiv preprint arXiv:1906.11415.
Ying R, Bourgeois D, You J, Zitnik M, Leskovec J.  2019.  GNNExplainer: Generating Explanations for Graph Neural Networks. NeurIPS.
You J., Wang Y., Pal A., Eksombatchai P., Rosenberg C., Leskovec J..  2019.  Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems. ACM International Conference on World Wide Web (WWW).
Xu K., Hu W., Leskovec J., Jegelka S..  2019.  How Powerful Are Graph Neural Networks? ICLR.
Chami I., Ying R., Re C., Leskovec J..  2019.  Hyperbolic Graph Convolutional Neural Networks. NeurIPS.
Wang H., Zhang F., Zhang M., Leskovec J., Zhao M., Li W., Wang Z..  2019.  Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Lee MA, Zhu Y, Zachares P, Tan M, Srinivasan K, Savarese S, Fei-Fei L, Garg A, Bohg J.  2019.  Making Sense of Vision and Touch: Learning of Multimodal Representations for Contact-Rich Tasks. IEEE Transactions on Robotics.