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Workshop
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Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning
Zafir Stojanovski · Karsten Roth · Zeynep Akata
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Workshop
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Potential Energy based Mixture Model for Noisy Label Learning
Zijia Wang · Wenbin Yang · Zhi-Song Liu · Zhen Jia
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Panel
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Thu 10:45
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Panel 5A-4: Uni[MASK]: Unified Inference… & Model-Based Offline Reinforcement…
Kaiyang Guo · Micah Carroll
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Workshop
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Learning unfolded networks with a cyclic group structure
Emmanouil Theodosis · Demba Ba
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Workshop
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Score-Based Generative Models with Lévy Processes
Eunbi Yoon · Keehun Park · Jinhyeok Kim · Sungbin Lim
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Poster
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Tue 14:00
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Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model
Zhisheng Xiao · Tian Han
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Workshop
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Learning to Prioritize Planning Updates in Model-based Reinforcement Learning
Brad Burega · John Martin · Michael Bowling
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Poster
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Wed 9:00
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Robust Imitation of a Few Demonstrations with a Backwards Model
Jung Yeon Park · Lawson Wong
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Workshop
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3DGEN: A GAN-based approach for generating novel 3D models from image data
Antoine Schnepf · Ugo Tanielian · Flavian Vasile
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Workshop
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Energy based models for tomography of quantum spin-lattice systems
Abhijith Jayakumar · Marc Vuffray · Andrey Lokhov
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Poster
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Wed 14:00
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GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models
Chen Liang · Wenguan Wang · Jiaxu Miao · Yi Yang
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Poster
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Thu 9:00
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Why do tree-based models still outperform deep learning on typical tabular data?
Leo Grinsztajn · Edouard Oyallon · Gael Varoquaux
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