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Oral
Wed Jun 12 04:00 PM -- 04:20 PM (PDT) @ Grand Ballroom
Adversarially Learned Representations for Information Obfuscation and Inference
Martin A Bertran · Natalia Martinez · Afroditi Papadaki · Qiang Qiu · Miguel Rodrigues · Galen Reeves · Guillermo Sapiro
Oral
Wed Jun 12 04:20 PM -- 04:25 PM (PDT) @ Grand Ballroom
Adaptive Neural Trees
Ryutaro Tanno · Kai Arulkumaran · Daniel Alexander · Antonio Criminisi · Aditya Nori
Oral
Wed Jun 12 04:25 PM -- 04:30 PM (PDT) @ Grand Ballroom
Connectivity-Optimized Representation Learning via Persistent Homology
Christoph Hofer · Roland Kwitt · Marc Niethammer · Mandar Dixit
Oral
Wed Jun 12 04:30 PM -- 04:35 PM (PDT) @ Grand Ballroom
Minimal Achievable Sufficient Statistic Learning
Milan Cvitkovic · G√ľnther Koliander
Oral
Wed Jun 12 04:35 PM -- 04:40 PM (PDT) @ Grand Ballroom
Learning to Route in Similarity Graphs
Dmitry Baranchuk · Dmitry Persiyanov · Anton Sinitsin · Artem Babenko
Oral
Wed Jun 12 04:40 PM -- 05:00 PM (PDT) @ Grand Ballroom
Invariant-Equivariant Representation Learning for Multi-Class Data
Ilya Feige
Oral
Wed Jun 12 05:00 PM -- 05:05 PM (PDT) @ Grand Ballroom
Infinite Mixture Prototypes for Few-shot Learning
Kelsey Allen · Evan Shelhamer · Hanul Shin · Josh Tenenbaum
Oral
Wed Jun 12 05:05 PM -- 05:10 PM (PDT) @ Grand Ballroom
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
Sami Abu-El-Haija · Bryan Perozzi · Amol Kapoor · Nazanin Alipourfard · Kristina Lerman · Hrayr Harutyunyan · Greg Ver Steeg · Aram Galstyan
Oral
Wed Jun 12 05:10 PM -- 05:15 PM (PDT) @ Grand Ballroom
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting
Xilai Li · Yingbo Zhou · Tianfu Wu · Richard Socher · Caiming Xiong