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Poster
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Wed 1:00
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Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models
Yuge Shi · Brooks Paige · Philip Torr · Siddharth N
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Poster
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Tue 9:00
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Text Generation by Learning from Demonstrations
Richard Yuanzhe Pang · He He
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Poster
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Wed 9:00
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Learning Task-General Representations with Generative Neuro-Symbolic Modeling
Reuben Feinman · Brenden Lake
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Poster
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Thu 9:00
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Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
Rafael Valle · Kevin J Shih · Ryan Prenger · Bryan Catanzaro
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Poster
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Mon 17:00
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Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child
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Poster
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Mon 9:00
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Seq2Tens: An Efficient Representation of Sequences by Low-Rank Tensor Projections
Csaba Toth · Patric Bonnier · Harald Oberhauser
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Spotlight
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Mon 12:55
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Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
Rewon Child
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Poster
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Wed 1:00
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Gradient Origin Networks
Sam Bond-Taylor · Chris G Willcocks
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Poster
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Thu 17:00
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Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling
Yang Zhao · Jianwen Xie · Ping Li
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Poster
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Tue 17:00
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Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis
Zhipeng Bao · Yu-Xiong Wang · Martial Hebert
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Poster
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Thu 1:00
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Adaptive and Generative Zero-Shot Learning
Yu-Ying Chou · Hsuan-Tien Lin · Tyng-Luh Liu
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Poster
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Tue 1:00
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Capturing Label Characteristics in VAEs
Tom Joy · Sebastian Schmon · Philip Torr · Siddharth N · Tom Rainforth
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