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31 Results
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Demonstration
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Wed 17:00 |
AllenNLP Interpret: Explaining Predictions of NLP Models Jens Tuyls · Eric Wallace · Matt Gardner · Junlin Wang · Sameer Singh · Sanjay Subramanian |
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Poster
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Thu 10:45 |
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting Shiyang Li · Xiaoyong Jin · Yao Xuan · Xiyou Zhou · Wenhu Chen · Yu-Xiang Wang · Xifeng Yan |
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Poster
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Thu 17:00 |
Graph Structured Prediction Energy Networks Colin Graber · Alex Schwing |
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Poster
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Wed 10:45 |
Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis Xihui Liu · Guojun Yin · Jing Shao · Xiaogang Wang · Hongsheng Li |
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Poster
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Wed 17:00 |
Generative Well-intentioned Networks Justin Cosentino · Jun Zhu |
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Poster
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Tue 17:30 |
Deep Set Prediction Networks Yan Zhang · Jonathon Hare · Adam Prugel-Bennett |
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Poster
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Tue 10:45 |
Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction Yunji Kim · Seonghyeon Nam · In Cho · Seon Joo Kim |
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Poster
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Wed 10:45 |
Conformalized Quantile Regression Yaniv Romano · Evan Patterson · Emmanuel Candes |
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Poster
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Tue 17:30 |
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction Daniel Freeman · David Ha · Luke Metz |
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Poster
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Wed 10:45 |
Uncertainty on Asynchronous Time Event Prediction Marin Biloš · Bertrand Charpentier · Stephan Günnemann |
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Poster
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Thu 10:45 |
Neural Similarity Learning Weiyang Liu · Zhen Liu · James Rehg · Le Song |
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Poster
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Wed 10:45 |
Multiple Futures Prediction Yichuan Charlie Tang · Russ Salakhutdinov |