Web ResultJiayuan Mao is a PhD candidate at MIT EECS, advised by Prof. Josh Tenenbaum and Prof. Leslie Kaelbling . Previously, she obtained her Bachelor's degree from YaoClass, Tsinghua University.
Web ResultJiayuan Mao. MIT CSAIL. Verified email at mit.edu - Homepage. ... Y Li, J Mao, X Zhang, B Freeman, J Tenenbaum, N Snavely, J Wu. Advances in Neural Information Processing Systems 33, 7425-7436, 2020. 13: 2020: Ns3d: Neuro-symbolic grounding of 3d objects and relations. J Hsu, J Mao, J Wu.
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[1904.12584] The Neuro-Symbolic Concept Learner: Interpreting …
Web ResultApr 26, 2019 · Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu. We propose the Neuro-Symbolic Concept Learner (NS-CL), a model that learns visual concepts, words, and semantic parsing of sentences without explicit supervision on any of them; instead, our model learns by simply looking at images …
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Neuro-Symbolic Visual Reasoning and Program Synthesis
Web ResultJun 14, 2020 · Jiayuan Mao is a Ph.D. student at MIT, advised by Professors Josh Tenenbaum and Leslie Kaelbling. Her research focuses on structured knowledge representations that can be transferred among tasks and inductive biases that improve the learning efficiency and generalization.
Web ResultMar 3, 2024 · Zhezheng Luo, Jiayuan Mao, Joshua B. Tenenbaum, Leslie Pack Kaelbling: On the Expressiveness and Generalization of Hypergraph Neural Networks. CoRR abs/2303.05490 ( 2023) [i34] Guangxuan Xiao, Leslie Pack Kaelbling, Jiajun Wu, Jiayuan Mao: Sparse and Local Networks for Hypergraph …
Web ResultWe propose the Neuro-Symbolic Concept Learner (NS-CL), a model that learns visual concepts, words, and semantic parsing of sentences without explicit supervision on any of them; instead, our model learns by simply looking at images and reading paired questions and answers. Figure 1: An example image-question …
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Web ResultHaoyue Shi | Jiayuan Mao | Kevin Gimpel | Karen Livescu Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics We present the Visually Grounded Neural Syntax Learner (VG-NSL), an approach for learning syntactic representations and structures without any explicit supervision.