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22 Results
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Poster
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Wed 9:00 |
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks Sergei Ivanov · Liudmila Prokhorenkova |
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Poster
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Tue 9:00 |
Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks Thomas Bird · Friso Kingma · David Barber |
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Poster
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Thu 1:00 |
Learning continuous-time PDEs from sparse data with graph neural networks Valerii Iakovlev · Markus Heinonen · Harri Lähdesmäki |
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Poster
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Mon 9:00 |
Shape-Texture Debiased Neural Network Training Yinigwei Li · Qihang Yu · Mingxing Tan · Jieru Mei · Peng Tang · Wei Shen · Alan Yuille · Cihang Xie |
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Poster
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Thu 9:00 |
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization Huanrui Yang · Lin Duan · Yiran Chen · Hai Li |
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Poster
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Mon 1:00 |
Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering Calypso Herrera · Florian Krach · Josef Teichmann |
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Poster
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Tue 1:00 |
Lossless Compression of Structured Convolutional Models via Lifting Gustav Sourek · Filip Zelezny · Ondrej Kuzelka |
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Poster
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Wed 1:00 |
Net-DNF: Effective Deep Modeling of Tabular Data Liran Katzir · Gal Elidan · Ran El-Yaniv |
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Poster
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Thu 9:00 |
Initialization and Regularization of Factorized Neural Layers Mikhail Khodak · Neil Tenenholtz · Lester Mackey · Nicolo Fusi |
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Poster
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Thu 9:00 |
Dataset Meta-Learning from Kernel Ridge-Regression Timothy Nguyen · Zhourong Chen · Jaehoon Lee |