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24 Results
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Workshop
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Cycle Representation Learning for Inductive Relation Prediction Zuoyu Yan · Tengfei Ma · Liangcai Gao · Zhi Tang · Chao Chen |
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Workshop
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CubeRep: Learning Relations Between Different Views of Data Rishi Sonthalia · Anna Gilbert · Matthew Durham |
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Workshop
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Inductive Biases for Relational Tasks Giancarlo Kerg · Sarthak Mittal · David Rolnick · Yoshua Bengio · Blake A Richards · Guillaume Lajoie |
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Poster
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Wed 18:30 |
RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning Xiaojian Ma · Weili Nie · Zhiding Yu · Huaizu Jiang · Chaowei Xiao · Yuke Zhu · Song-Chun Zhu · Anima Anandkumar |
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Workshop
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Fri 11:00 |
Learning to Walk over Relational Graphs of Source Code Pardis Pashakhanloo · Aaditya Naik · Hanjun Dai · Petros Maniatis · Mayur Naik |
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Poster
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Tue 10:30 |
Know Your Action Set: Learning Action Relations for Reinforcement Learning Ayush Jain · Norio Kosaka · Kyung-Min Kim · Joseph Lim |
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Poster
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Mon 18:30 |
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning Jiaxian Guo · Mingming Gong · Dacheng Tao |
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Spotlight
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Wed 10:30 |
Relational Multi-Task Learning: Modeling Relations between Data and Tasks Kaidi Cao · Jiaxuan You · Jure Leskovec |
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Poster
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Wed 10:30 |
Relational Multi-Task Learning: Modeling Relations between Data and Tasks Kaidi Cao · Jiaxuan You · Jure Leskovec |
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Workshop
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Compositional Multi-Object Reinforcement Learning with Linear Relation Networks Davide Mambelli · Frederik Träuble · Stefan Bauer · Bernhard Schoelkopf · Francesco Locatello |
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Workshop
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Compositional Multi-object Reinforcement Learning with Linear Relation Networks Davide Mambelli · Frederik Träuble · Stefan Bauer · Bernhard Schoelkopf · Francesco Locatello |
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Poster
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Mon 18:30 |
MoReL: Multi-omics Relational Learning Arman Hasanzadeh · Ehsan Hajiramezanali · Nick Duffield · Xiaoning Qian |