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Latent Diffusion Energy-Based Model for Interpretable Text Modeling


Jun 14, 2022
Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu

* ICML 2022 

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Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection


Feb 25, 2022
Cristian Challu, Peihong Jiang, Ying Nian Wu, Laurent Callot

* accepted at AISTATS 2022 

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A Thousand Words Are Worth More Than a Picture: Natural Language-Centric Outside-Knowledge Visual Question Answering


Jan 14, 2022
Feng Gao, Qing Ping, Govind Thattai, Aishwarya Reganti, Ying Nian Wu, Prem Natarajan


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Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning


Nov 25, 2021
Chi Zhang, Sirui Xie, Baoxiong Jia, Ying Nian Wu, Song-Chun Zhu, Yixin Zhu


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Unsupervised Foreground Extraction via Deep Region Competition


Nov 09, 2021
Peiyu Yu, Sirui Xie, Xiaojian Ma, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu

* To appear in NeurIPS 2021 

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Iterative Teacher-Aware Learning


Oct 17, 2021
Luyao Yuan, Dongruo Zhou, Junhong Shen, Jingdong Gao, Jeffrey L. Chen, Quanquan Gu, Ying Nian Wu, Song-Chun Zhu

* Advances in Neural Information Processing Systems (2021) 

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Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification


Aug 26, 2021
Bo Pang, Ying Nian Wu

* 8 pages 

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