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58 Results
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Poster
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Wed 8:00 |
Scaling up Hybrid Probabilistic Inference with Logical and Arithmetic Constraints via Message Passing Zhe Zeng · Paolo Morettin · Fanqi Yan · Antonio Vergari · Guy Van den Broeck |
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Poster
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Tue 10:00 |
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data Felipe Petroski Such · Aditya Rawal · Joel Lehman · Kenneth Stanley · Jeffrey Clune |
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Poster
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Tue 7:00 |
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks Pranjal Awasthi · Natalie Frank · Mehryar Mohri |
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Poster
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Thu 6:00 |
Sequence Generation with Mixed Representations Lijun Wu · Shufang Xie · Yingce Xia · Yang Fan · Jian-Huang Lai · Tao Qin · Tie-Yan Liu |
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Poster
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Wed 12:00 |
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits Robert Peharz · Steven Lang · Antonio Vergari · Karl Stelzner · Alejandro Molina · Martin Trapp · Guy Van den Broeck · Kristian Kersting · Zoubin Ghahramani |
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Poster
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Wed 5:00 |
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective Ruixiang ZHANG · Masanori Koyama · Katsuhiko Ishiguro |
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Workshop
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Sat 2:25 |
INNF+: Invertible Neural Networks, Normalizing Flows, and Explicit Likelihood Models Chin-Wei Huang · David Krueger · Rianne Van den Berg · George Papamakarios · Chris Cremer · Ricky T. Q. Chen · Danilo J. Rezende |
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Poster
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Thu 13:00 |
Efficient Proximal Mapping of the 1-path-norm of Shallow Networks Fabian Latorre · Paul Rolland · Shaul Nadav Hallak · Volkan Cevher |
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Poster
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Thu 12:00 |
Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More Aleksandar Bojchevski · Johannes Gasteiger · Stephan Günnemann |
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Poster
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Wed 8:00 |
Proper Network Interpretability Helps Adversarial Robustness in Classification Akhilan Boopathy · Sijia Liu · Gaoyuan Zhang · Cynthia Liu · Pin-Yu Chen · Shiyu Chang · Luca Daniel |