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Poster
Mon 9:00 Language-Agnostic Representation Learning of Source Code from Structure and Context
Daniel Zügner · Tobias Kirschstein · Michele Catasta · Jure Leskovec · Stephan Günnemann
Poster
Mon 9:00 Predicting Inductive Biases of Pre-Trained Models
Charles Lovering · Rohan Jha · Tal Linzen · Ellie Pavlick
Poster
Mon 9:00 Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures
Pedro Hermosilla Casajus · Marco Schäfer · Matej Lang · Gloria Fackelmann · Pere-Pau Vázquez · Barbora Kozlikova · Michael Krone · Tobias Ritschel · Timo Ropinski
Poster
Tue 1:00 What they do when in doubt: a study of inductive biases in seq2seq learners
Kharitonov Eugene · Rahma Chaabouni
Poster
Tue 9:00 Physics-aware, probabilistic model order reduction with guaranteed stability
Sebastian Kaltenbach · PS Koutsourelakis
Poster
Wed 1:00 Learning Task Decomposition with Ordered Memory Policy Network
Yuchen Lu · Yikang Shen · Siyuan Zhou · Aaron Courville · Joshua B Tenenbaum · Chuang Gan
Poster
Wed 9:00 Learning Mesh-Based Simulation with Graph Networks
Tobias Pfaff · Meire Fortunato · Alvaro Sanchez Gonzalez · Peter Battaglia
Poster
Wed 9:00 Learning to Represent Action Values as a Hypergraph on the Action Vertices
Arash Tavakoli · Mehdi Fatemi · Petar Kormushev
Spotlight
Wed 16:45 Learning Mesh-Based Simulation with Graph Networks
Tobias Pfaff · Meire Fortunato · Alvaro Sanchez Gonzalez · Peter Battaglia
Poster
Thu 1:00 The inductive bias of ReLU networks on orthogonally separable data
Mary Phuong · Christoph H Lampert
Poster
Thu 9:00 Directed Acyclic Graph Neural Networks
Veronika Thost · Jie Chen
Workshop
Fri 6:31 Reasoning with Deep Learning Architectures Based on System 2 Inductive Biases
Yoshua Bengio