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Oral
Fri Jun 14 08:00 AM -- 08:20 AM (KST) @ Hall A
Learning Fast Algorithms for Linear Transforms Using Butterfly Factorizations
In Representation Learning
Tri Dao · Albert Gu · Matthew Eichhorn · Atri Rudra · Christopher Re
Oral
Fri Jun 14 08:20 AM -- 08:25 AM (KST) @ Hall A
Distributed, Egocentric Representations of Graphs for Detecting Critical Structures
In Representation Learning
Ruo-Chun Tzeng · Shan-Hung (Brandon) Wu
[ Slides] 
Oral
Fri Jun 14 08:25 AM -- 08:30 AM (KST) @ Hall A
Breaking the Softmax Bottleneck via Learnable Monotonic Pointwise Non-linearities
In Representation Learning
Octavian-Eugen Ganea · Sylvain Gelly · Gary Becigneul · Aliaksei Severyn
[ Slides] 
Oral
Fri Jun 14 08:30 AM -- 08:35 AM (KST) @ Hall A
Multi-Object Representation Learning with Iterative Variational Inference
In Representation Learning
Klaus Greff · Raphael Lopez Kaufman · Rishabh Kabra · Nicholas Watters · Christopher Burgess · Daniel Zoran · Loic Matthey · Matthew Botvinick · Alexander Lerchner
[ Slides] 
Oral
Fri Jun 14 08:35 AM -- 08:40 AM (KST) @ Hall A
Cross-Domain 3D Equivariant Image Embeddings
In Representation Learning
Carlos Esteves · Avneesh Sud · Zhengyi Luo · Kostas Daniilidis · Ameesh Makadia
[ Slides] 
Oral
Fri Jun 14 08:40 AM -- 09:00 AM (KST) @ Hall A
Loss Landscapes of Regularized Linear Autoencoders
In Representation Learning
Daniel Kunin · Jonathan Bloom · Aleksandrina Goeva · Cotton Seed
[ Slides] 
Oral
Fri Jun 14 09:00 AM -- 09:05 AM (KST) @ Hall A
Hyperbolic Disk Embeddings for Directed Acyclic Graphs
In Representation Learning
Ryota Suzuki · Ryusuke Takahama · Shun Onoda
[ Slides] 
Oral
Fri Jun 14 09:05 AM -- 09:10 AM (KST) @ Hall A
LatentGNN: Learning Efficient Non-local Relations for Visual Recognition
In Representation Learning
Songyang Zhang · Xuming He · Shipeng Yan
[ Slides] 
Oral
Fri Jun 14 09:10 AM -- 09:15 AM (KST) @ Hall A
Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness
In Representation Learning
Raphael Suter · Djordje Miladinovic · Bernhard Schölkopf · Stefan Bauer
[ Slides] 
Oral
Fri Jun 14 09:15 AM -- 09:20 AM (KST) @ Hall A
Lorentzian Distance Learning for Hyperbolic Representations
In Representation Learning
Marc Law · Renjie Liao · Jake Snell · Richard Zemel
[ Slides]