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Structured Attention for Unsupervised Dialogue Structure Induction

Oct 09, 2020
Liang Qiu, Yizhou Zhao, Weiyan Shi, Yuan Liang, Feng Shi, Tao Yuan, Zhou Yu, Song-Chun Zhu

* Long paper accepted by EMNLP 2020 

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Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks

Jul 24, 2020
Xiaofeng Gao, Ran Gong, Yizhou Zhao, Shu Wang, Tianmin Shu, Song-Chun Zhu

* IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2020), 8 pages, 9 figures 

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Human-Robot Interaction in a Shared Augmented Reality Workspace

Jul 24, 2020
Shuwen Qiu, Hangxin Liu, Zeyu Zhang, Yixin Zhu, Song-Chun Zhu

* Accepted to IROS 2020 

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A Competence-aware Curriculum for Visual Concepts Learning via Question Answering

Jul 03, 2020
Qing Li, Siyuan Huang, Yining Hong, Song-Chun Zhu

* ECCV 2020 Oral 

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A Representational Model of Grid Cells Based on Matrix Lie Algebras

Jun 18, 2020
Ruiqi Gao, Jianwen Xie, Song-Chun Zhu, Ying Nian Wu


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Learning Latent Space Energy-Based Prior Model

Jun 15, 2020
Bo Pang, Tian Han, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu

* 22 pages, 4 figures 

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Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC

Jun 12, 2020
Erik Nijkamp, Ruiqi Gao, Pavel Sountsov, Srinivas Vasudevan, Bo Pang, Song-Chun Zhu, Ying Nian Wu


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Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning

Jun 11, 2020
Qing Li, Siyuan Huang, Yining Hong, Yixin Chen, Ying Nian Wu, Song-Chun Zhu

* ICML 2020. Project page: https://liqing-ustc.github.io/NGS 

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Joint Training of Variational Auto-Encoder and Latent Energy-Based Model

Jun 10, 2020
Tian Han, Erik Nijkamp, Linqi Zhou, Bo Pang, Song-Chun Zhu, Ying Nian Wu


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Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models

May 27, 2020
Mitch Hill, Jonathan Mitchell, Song-Chun Zhu


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Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions

May 04, 2020
Arjun R Akula, Spandana Gella, Yaser Al-Onaizan, Song-Chun Zhu, Siva Reddy

* ACL 2020 

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Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs

Apr 25, 2020
Tao Yuan, Hangxin Liu, Lifeng Fan, Zilong Zheng, Tao Gao, Yixin Zhu, Song-Chun Zhu

* Accepted to ICRA 2020 

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Congestion-aware Evacuation Routing using Augmented Reality Devices

Apr 25, 2020
Zeyu Zhang, Hangxin Liu, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu

* Accepted to ICRA 2020 

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Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning

Apr 25, 2020
Wenhe Zhang, Chi Zhang, Yixin Zhu, Song-Chun Zhu

* AAAI 2020 Oral. Project page: https://sites.google.com/view/number-sense/home Code: https://github.com/zwh1999anne/Machine-Number-Sense-Dataset Dataset: https://drive.google.com/file/d/17KuL8KOIDAeRL-lD418oiDEm8bE6TEFb/view 

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Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

Apr 20, 2020
Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu

* Engineering, Feb, 2020 
* For high quality figures, please refer to http://wellyzhang.github.io/attach/dark.pdf 

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Generative PointNet: Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification

Apr 02, 2020
Jianwen Xie, Yifei Xu, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu


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Emergence of Pragmatics from Referential Game between Theory of Mind Agents

Jan 21, 2020
Luyao Yuan, Zipeng Fu, Jingyue Shen, Lu Xu, Junhong Shen, Song-Chun Zhu


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PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points

Dec 16, 2019
Siyuan Huang, Yixin Chen, Tao Yuan, Siyuan Qi, Yixin Zhu, Song-Chun Zhu

* NeurIPS 2019 

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Learning Deep Generative Models with Short Run Inference Dynamics

Dec 14, 2019
Erik Nijkamp, Bo Pang, Tian Han, Linqi Zhou, Song-Chun Zhu, Ying Nian Wu


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Learning Perceptual Inference by Contrasting

Nov 29, 2019
Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, Hongjing Lu, Song-Chun Zhu

* NeurIPS 2019 spotlight. Project page: http://wellyzhang.github.io/project/copinet.html 

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Representation Learning: A Statistical Perspective

Nov 26, 2019
Jianwen Xie, Ruiqi Gao, Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu

* Annual Review of Statistics and Its Application 2020 

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Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns

Nov 26, 2019
Jianwen Xie, Ruiqi Gao, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

* The Thirty-Fourth AAAI Conference on Artificial Intelligence 2020 

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Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning

Nov 25, 2019
Mark Edmonds, Xiaojian Ma, Siyuan Qi, Yixin Zhu, Hongjing Lu, Song-Chun Zhu

* Accepted to AAAI 2020 as an oral 

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DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare

Oct 09, 2019
Yuanlu Xu, Song-Chun Zhu, Tony Tung

* 11 pages, 8 figures, International Conference on Computer Vision (ICCV) 2019, Oral Presentation 

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Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns

Sep 26, 2019
Jianwen Xie, Song-Chun Zhu, Ying Nian Wu

* IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE 2019 

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X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust

Sep 15, 2019
Arjun R. Akula, Changsong Liu, Sari Saba-Sadiya, Hongjing Lu, Sinisa Todorovic, Joyce Y. Chai, Song-Chun Zhu

* A short version of this was presented at CVPR 2019 Workshop on Explainable AI 

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