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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 10:00 AM -- 10:20 AM (KST)
Cyclically Equivariant Neural Decoders for Cyclic Codes
In Learning Theory 9
Xiangyu Chen · Min Ye
[ Paper ]
Spotlight
Thu Jul 22 10:20 AM -- 10:25 AM (KST)
KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning
In Learning Theory 9
Ashok Vardhan Makkuva · Xiyang Liu · Mohammad Vahid Jamali · Hessam Mahdavifar · Sewoong Oh · Pramod Viswanath
[ Paper ]
Spotlight
Thu Jul 22 10:25 AM -- 10:30 AM (KST)
An Information-Geometric Distance on the Space of Tasks
In Learning Theory 9
Yansong Gao · Pratik Chaudhari
[ Paper ]
Spotlight
Thu Jul 22 10:30 AM -- 10:35 AM (KST)
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework
In Learning Theory 9
Zeyu Yan · Fei Wen · rendong Ying · Chao Ma · Peilin Liu
[ Paper ]
Spotlight
Thu Jul 22 10:35 AM -- 10:40 AM (KST)
Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information
In Learning Theory 9
Changhun Jo · Kangwook Lee
[ Paper ]
Spotlight
Thu Jul 22 10:40 AM -- 10:45 AM (KST)
A Novel Method to Solve Neural Knapsack Problems
In Learning Theory 9
Duanshun Li · Jing Liu · Dongeun Lee · Ali S. Mazloom · Giridhar Kaushik · Kookjin Lee · Noseong Park
[ Paper ]
Spotlight
Thu Jul 22 10:45 AM -- 10:50 AM (KST)
Chebyshev Polynomial Codes: Task Entanglement-based Coding for Distributed Matrix Multiplication
In Learning Theory 9
Sangwoo Hong · Heecheol Yang · Youngseok Yoon · Tae Hyun Cho · Jungwoo Lee
[ Paper ]
Q&A
Thu Jul 22 10:50 AM -- 10:55 AM (KST)
Q&A
In Learning Theory 9