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Spotlight
Tue 18:10 Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search
Vu Nguyen · Tam Le · Makoto Yamada · Michael A Osborne
Oral Session
Tue 19:00 AutoML and Neural Network Architectures 2
Poster
Tue 21:00 Improving Breadth-Wise Backpropagation in Graph Neural Networks Helps Learning Long-Range Dependencies.
Denis Lukovnikov · Asja Fischer
Spotlight
Tue 17:35 Equivariant message passing for the prediction of tensorial properties and molecular spectra
Kristof T Schütt · Oliver Unke · Michael Gastegger
Oral Session
Tue 7:00 AutoML and Neural Network Architectures 1
Oral Session
Tue 6:00 AutoML and Deep Architecture
Poster
Tue 21:00 iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients
Miao Zhang · Steven Su · Shirui Pan · Xiaojun Chang · Ehsan Abbasnejad · Reza Haffari
Poster
Tue 21:00 Few-Shot Neural Architecture Search
Yiyang Zhao · Linnan Wang · Yuandong Tian · Rodrigo Fonseca · Tian Guo
Poster
Tue 9:00 Parallelizing Legendre Memory Unit Training
Narsimha Reddy Chilkuri · Chris Eliasmith
Poster
Thu 9:00 A Collective Learning Framework to Boost GNN Expressiveness for Node Classification
Mengyue Hang · Jennifer Neville · Bruno Ribeiro
Poster
Tue 9:00 Neural Architecture Search without Training
Joe Mellor · Jack Turner · Amos Storkey · Elliot Crowley
Spotlight
Wed 5:40 Generalization Guarantees for Neural Architecture Search with Train-Validation Split
Samet Oymak · Mingchen Li · Mahdi Soltanolkotabi