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Biblio

Found 21 results
2020
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, Hu W, Leskovec J.  2020.  Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings. International Conference on Learning Representations.
2019
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).
Ji J, Cao K, Niebles JCarlos.  2019.  Learning Temporal Action Proposals with Fewer Labels. ICCV.
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.
Shao L, Ferreira F, Jorda M, Nambiar V, Luo J, Ojea JAparicio, Khatib O, Bohg J.  2019.  MetaGrasp: Learning to Grasp with N-Fingered Robotic Hands. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
You J., Ying R., Leskovec J..  2019.  Position-aware Graph Neural Networks. ICML.
Kumar S., Zhang X., Leskovec J..  2019.  Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Xu D, Martín-Martín R, Huang D-A, Zhu Y, Savarese S, Fei-Fei L.  2019.  Regression Planning Networks. Conference on Neural Information Processing Systems (NeurIPS).
Yu T, Shevchuk G, Sadigh D, Finn C.  2019.  Unsupervised Visuomotor Control through Distributional Planning Networks. RSS.
Martin-Martin R, Lee MA, Gardner R, Bohg J, Savarese S, Garg A.  2019.  Variable Impedance in End-Effector Space: An Action Space for Reinforcement Learning of Contact-Rich Tasks. Proc. IEEE/RSJ Intl Conf. on Intelligent Robots and Systems (IROS).
0
Ji J, Cao K, Niebles JCarlos.  0.  Learning Temporal Action Proposals with Fewer Labels. IEEE/CVF International Conference on Computer Vision (ICCV),Seoul, South Korea.