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The 2021 schedule is still incomplete
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Oral
Wed Jul 21 06:00 PM -- 06:20 PM (PDT)
Cyclically Equivariant Neural Decoders for Cyclic Codes
In Learning Theory 9
Xiangyu Chen · Min Ye
[ Paper ]
Spotlight
Wed Jul 21 06:20 PM -- 06:25 PM (PDT)
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
Wed Jul 21 06:25 PM -- 06:30 PM (PDT)
An Information-Geometric Distance on the Space of Tasks
In Learning Theory 9
Yansong Gao · Pratik Chaudhari
[ Paper ]
Spotlight
Wed Jul 21 06:30 PM -- 06:35 PM (PDT)
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
Wed Jul 21 06:35 PM -- 06:40 PM (PDT)
Discrete-Valued Latent Preference Matrix Estimation with Graph Side Information
In Learning Theory 9
Changhun Jo · Kangwook Lee
[ Paper ]
Spotlight
Wed Jul 21 06:40 PM -- 06:45 PM (PDT)
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
Wed Jul 21 06:45 PM -- 06:50 PM (PDT)
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
Wed Jul 21 06:50 PM -- 06:55 PM (PDT)
Q&A
In Learning Theory 9