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The 2021 schedule is still incomplete
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Oral
Tue Jul 20 09:00 PM -- 09:20 PM (KST)
Attention is not all you need: pure attention loses rank doubly exponentially with depth
In Deep Learning Applications
Yihe Dong · Jean-Baptiste Cordonnier · Andreas Loukas
[ Paper ]
Spotlight
Tue Jul 20 09:20 PM -- 09:25 PM (KST)
Navigation Turing Test (NTT): Learning to Evaluate Human-Like Navigation
In Deep Learning Applications
Sam Devlin · Raluca Georgescu · Ida Momennejad · Jaroslaw Rzepecki · Evelyn Zuniga · Gavin Costello · Guy Leroy · Ali Shaw · Katja Hofmann
[ Paper ]
Spotlight
Tue Jul 20 09:25 PM -- 09:30 PM (KST)
Efficient Generative Modelling of Protein Structure Fragments using a Deep Markov Model
In Deep Learning Applications
Christian Thygesen · Christian Skjødt Steenmans · Ahmad Salim Al-Sibahi · Lys Sanz Moreta · Anders Bundgård Sørensen · Thomas Hamelryck
[ Paper ]
Spotlight
Tue Jul 20 09:30 PM -- 09:35 PM (KST)
Exploiting structured data for learning contagious diseases under incomplete testing
In Deep Learning Applications
Maggie Makar · Lauren R West · David C Hooper · Eric Horvitz · Erica Shenoy · John Guttag
[ Paper ]
Spotlight
Tue Jul 20 09:35 PM -- 09:40 PM (KST)
Strategic Classification Made Practical
In Deep Learning Applications
Sagi Levanon · Nir Rosenfeld
[ Paper ]
Spotlight
Tue Jul 20 09:40 PM -- 09:45 PM (KST)
Large-Margin Contrastive Learning with Distance Polarization Regularizer
In Deep Learning Applications
Shuo Chen · Gang Niu · Chen Gong · Jun Li · Jian Yang · Masashi Sugiyama
[ Paper ]
Spotlight
Tue Jul 20 09:45 PM -- 09:50 PM (KST)
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation
In Deep Learning Applications
Wuxinlin Cheng · Chenhui Deng · Zhiqiang Zhao · Yaohui Cai · Zhiru Zhang · Zhuo Feng
[ Paper ]
Q&A
Tue Jul 20 09:50 PM -- 09:55 PM (KST)
Q&A
In Deep Learning Applications