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Poster
Tue 9:00 LanczosNet: Multi-Scale Deep Graph Convolutional Networks
Renjie Liao · Zhizhen Zhao · Raquel Urtasun · Richard Zemel
Poster
Tue 9:00 Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach
Wenda Zhou · Victor Veitch · Morgane Austern · Ryan P Adams · Peter Orbanz
Poster
Wed 9:00 How to train your MAML
Antreas Antoniou · Harrison Edwards · Amos Storkey
Poster
Tue 9:00 Diffusion Scattering Transforms on Graphs
Fernando Gama · Alejandro Ribeiro · Joan Bruna
Poster
Tue 9:00 Visual Semantic Navigation using Scene Priors
Wei Yang · Xiaolong Wang · Ali Farhadi · Abhinav Gupta · Roozbeh Mottaghi
Poster
Thu 14:30 Learning from Positive and Unlabeled Data with a Selection Bias
Masahiro Kato · Takeshi Teshima · Junya Honda
Poster
Wed 9:00 Neural Graph Evolution: Automatic Robot Design
Tingwu Wang · Yuhao Zhou · Sanja Fidler · Jimmy Ba
Poster
Wed 9:00 Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams
Mohammad Kachuee · Orpaz Goldstein · Kimmo Kärkkäinen · Sajad Darabi · Majid Sarrafzadeh
Poster
Tue 14:30 Dynamic Sparse Graph for Efficient Deep Learning
Liu Liu · Lei Deng · Xing Hu · Maohua Zhu · Guoqi Li · Yufei Ding · Yuan Xie
Poster
Tue 9:00 Generating Multi-Agent Trajectories using Programmatic Weak Supervision
Eric Zhan · Stephan Zheng · Yisong Yue · Long Sha · Patrick Lucey
Poster
Tue 14:30 How Powerful are Graph Neural Networks?
Keyulu Xu · Weihua Hu · Jure Leskovec · Stefanie Jegelka
Poster
Tue 9:00 DELTA: DEEP LEARNING TRANSFER USING FEATURE MAP WITH ATTENTION FOR CONVOLUTIONAL NETWORKS
Xingjian Li · Haoyi Xiong · Hanchao Wang · Yuxuan Rao · Liping Liu · Luke Huan