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51 Results
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Poster
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Tue 1:00 |
Capturing Label Characteristics in VAEs Tom Joy · Sebastian Schmon · Philip Torr · Siddharth N · Tom Rainforth |
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Poster
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Thu 9:00 |
Learning to Recombine and Resample Data For Compositional Generalization Ekin Akyürek · Afra Feyza Akyürek · Jacob Andreas |
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Poster
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Thu 17:00 |
Neural representation and generation for RNA secondary structures Zichao Yan · William Hamilton · Mathieu Blanchette |
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Poster
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Wed 17:00 |
Learning to Generate 3D Shapes with Generative Cellular Automata Dongsu Zhang · Changwoon Choi · Jeonghwan Kim · Young Min Kim |
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Oral
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Mon 3:00 |
Dataset Condensation with Gradient Matching Bo ZHAO · Konda Reddy Mopuri · Hakan Bilen |
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Poster
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Thu 9:00 |
Dataset Condensation with Gradient Matching Bo ZHAO · Konda Reddy Mopuri · Hakan Bilen |
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Poster
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Tue 1:00 |
Generalized Multimodal ELBO Thomas Sutter · Imant Daunhawer · Julia E Vogt |
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Poster
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Tue 17:00 |
Generating Adversarial Computer Programs using Optimized Obfuscations Shashank Srikant · Sijia Liu · Tamara Mitrovska · Shiyu Chang · Quanfu Fan · Gaoyuan Zhang · Una-May O'Reilly |
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Poster
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Wed 1:00 |
Negative Data Augmentation Abhishek Sinha · Kumar Ayush · Jiaming Song · Burak Uzkent · Hongxia Jin · Stefano Ermon |
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Workshop
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Fri 12:58 |
CIGMO: Learning categorical invariant deep generative models from grouped data Haruo Hosoya |
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Poster
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Mon 17:00 |
Learning Energy-Based Models by Diffusion Recovery Likelihood Ruiqi Gao · Yang Song · Ben Poole · Yingnian Wu · Durk Kingma |
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Spotlight
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Thu 13:50 |
Disentangled Recurrent Wasserstein Autoencoder Jun Han · Martin Min · Ligong Han · Erran Li · Xuan Zhang |