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Spotlight
Fri Jul 22 04:30 AM -- 04:35 AM (KST) @ Ballroom 1 & 2
Bregman Neural Networks
In Deep Learning
Jordan Frecon · Gilles Gasso · Massimiliano Pontil · Saverio Salzo
Spotlight
Fri Jul 22 04:35 AM -- 04:40 AM (KST) @ Ballroom 1 & 2
Quantifying and Learning Linear Symmetry-Based Disentanglement
In Deep Learning
Loek Tonnaer · Luis Armando Perez Rey · Vlado Menkovski · Mike Holenderski · Jacobus Portegies
Spotlight
Fri Jul 22 04:40 AM -- 04:45 AM (KST) @ Ballroom 1 & 2
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups
In Deep Learning
David Knigge · David Romero · Erik Bekkers
Spotlight
Fri Jul 22 04:45 AM -- 04:50 AM (KST) @ Ballroom 1 & 2
PDO-s3DCNNs: Partial Differential Operator Based Steerable 3D CNNs
In Deep Learning
Zhengyang Shen · Tao Hong · Qi She · Jinwen Ma · Zhouchen Lin
Spotlight
Fri Jul 22 04:50 AM -- 04:55 AM (KST) @ Ballroom 1 & 2
Utilizing Expert Features for Contrastive Learning of Time-Series Representations
In Deep Learning
Manuel Nonnenmacher · Lukas Oldenburg · Ingo Steinwart · David Reeb
Spotlight
Fri Jul 22 04:55 AM -- 05:00 AM (KST) @ Ballroom 1 & 2
(Non-)Convergence Results for Predictive Coding Networks
In Deep Learning
Simon Frieder · Thomas Lukasiewicz
Spotlight
Fri Jul 22 05:00 AM -- 05:05 AM (KST) @ Ballroom 1 & 2
Representation Topology Divergence: A Method for Comparing Neural Network Representations.
In Deep Learning
Serguei Barannikov · Ilya Trofimov · Nikita Balabin · Evgeny Burnaev
Oral
Fri Jul 22 05:05 AM -- 05:25 AM (KST) @ Ballroom 1 & 2
Measuring Representational Robustness of Neural Networks Through Shared Invariances
In Deep Learning
Vedant Nanda · Till Speicher · Camila Kolling · John P Dickerson · Krishna Gummadi · Adrian Weller
Spotlight
Fri Jul 22 05:25 AM -- 05:30 AM (KST) @ Ballroom 1 & 2
The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns via Spotlights of Attention
In Deep Learning
Kazuki Irie · Robert Cordas · Jürgen Schmidhuber
Spotlight
Fri Jul 22 05:30 AM -- 05:35 AM (KST) @ Ballroom 1 & 2
Flowformer: Linearizing Transformers with Conservation Flows
In Deep Learning
Haixu Wu · Jialong Wu · Jiehui Xu · Jianmin Wang · Mingsheng Long
Spotlight
Fri Jul 22 05:35 AM -- 05:40 AM (KST) @ Ballroom 1 & 2
Spatial-Channel Token Distillation for Vision MLPs
In Deep Learning
Yanxi Li · Xinghao Chen · Minjing Dong · Yehui Tang · Yunhe Wang · Chang Xu
Spotlight
Fri Jul 22 05:40 AM -- 05:45 AM (KST) @ Ballroom 1 & 2
Neurocoder: General-Purpose Computation Using Stored Neural Programs
In Deep Learning
Hung Le · Svetha Venkatesh
Spotlight
Fri Jul 22 05:45 AM -- 05:50 AM (KST) @ Ballroom 1 & 2
Improving Transformers with Probabilistic Attention Keys
In Deep Learning
Tam Nguyen · Tan Nguyen · Dung Le · Duy Khuong Nguyen · Viet-Anh Tran · Richard Baraniuk · Nhat Ho · Stanley Osher
Spotlight
Fri Jul 22 05:50 AM -- 05:55 AM (KST) @ Ballroom 1 & 2
Rethinking Attention-Model Explainability through Faithfulness Violation Test
In Deep Learning
Yibing Liu · Haoliang Li · Yangyang Guo · Chenqi KONG · Jing Li · Shiqi Wang
Spotlight
Fri Jul 22 05:55 AM -- 06:00 AM (KST) @ Ballroom 1 & 2
AGNAS: Attention-Guided Micro- and Macro-Architecture Search
In Deep Learning
Zihao Sun · Yu Hu · Shun Lu · Longxing Yang · Jilin Mei · Yinhe Han · Xiaowei Li