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Poster
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Tue 7:00 |
Generating Programmatic Referring Expressions via Program Synthesis Jiani Huang · Calvin Smith · Osbert Bastani · Rishabh Singh · Aws Albarghouthi · Mayur Naik |
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Poster
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Tue 7:00 |
Deep Divergence Learning Kubra Cilingir · Rachel Manzelli · Brian Kulis |
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Poster
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Tue 7:00 |
Confidence-Aware Learning for Deep Neural Networks Jooyoung Moon · Jihyo Kim · Younghak Shin · Sangheum Hwang |
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Poster
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Tue 8:00 |
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization Rie Johnson · Tong Zhang |
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Poster
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Tue 8:00 |
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr Xingjian Li · Haoyi Xiong · Haozhe An · Cheng-Zhong Xu · Dejing Dou |
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Poster
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Tue 9:00 |
Learning Algebraic Multigrid Using Graph Neural Networks Ilay Luz · Meirav Galun · Haggai Maron · Ronen Basri · Irad Yavneh |
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Poster
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Tue 10:00 |
SoftSort: A Continuous Relaxation for the argsort Operator Sebastian Prillo · Julian M Eisenschlos |
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Poster
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Tue 11:00 |
Learning Deep Kernels for Non-Parametric Two-Sample Tests Feng Liu · Wenkai Xu · Jie Lu · Guangquan Zhang · Arthur Gretton · D.J. Sutherland |
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Poster
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Tue 12:00 |
Multi-step Greedy Reinforcement Learning Algorithms Manan Tomar · Yonathan Efroni · Mohammad Ghavamzadeh |
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Poster
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Tue 14:00 |
Finding trainable sparse networks through Neural Tangent Transfer Tianlin Liu · Friedemann Zenke |
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Poster
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Tue 18:00 |
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems Kaixuan Wei · Angelica I Aviles-Rivero · Jingwei Liang · Ying Fu · Carola-Bibiane Schönlieb · Hua Huang |
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Poster
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Tue 19:00 |
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths Yanwei Fu · Chen Liu · Donghao Li · Xinwei Sun · Jinshan ZENG · Yuan Yao |