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Poster
Tue 7:00 Generating Programmatic Referring Expressions via Program Synthesis
Jiani Huang · Calvin Smith · Osbert Bastani · Rishabh Singh · Aws Albarghouthi · Mayur Naik
Poster
Tue 7:00 Deep Divergence Learning
Kubra Cilingir · Rachel Manzelli · Brian Kulis
Poster
Tue 7:00 Confidence-Aware Learning for Deep Neural Networks
Jooyoung Moon · Jihyo Kim · Younghak Shin · Sangheum Hwang
Poster
Tue 8:00 Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization
Rie Johnson · Tong Zhang
Poster
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
Poster
Tue 9:00 Learning Algebraic Multigrid Using Graph Neural Networks
Ilay Luz · Meirav Galun · Haggai Maron · Ronen Basri · Irad Yavneh
Poster
Tue 10:00 SoftSort: A Continuous Relaxation for the argsort Operator
Sebastian Prillo · Julian M Eisenschlos
Poster
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
Poster
Tue 12:00 Multi-step Greedy Reinforcement Learning Algorithms
Manan Tomar · Yonathan Efroni · Mohammad Ghavamzadeh
Poster
Tue 14:00 Finding trainable sparse networks through Neural Tangent Transfer
Tianlin Liu · Friedemann Zenke
Poster
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
Poster
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