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Oral
Thu Dec 10 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Deep Learning
Is normalization indispensable for training deep neural network?
In Orals & Spotlights Track 34: Deep Learning
Jie Shao · Kai Hu · Changhu Wang · Xiangyang Xue · Bhiksha Raj
[ Paper ]
Oral
Thu Dec 10 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Deep Learning
Understanding Approximate Fisher Information for Fast Convergence of Natural Gradient Descent in Wide Neural Networks
In Orals & Spotlights Track 34: Deep Learning
Ryo Karakida · Kazuki Osawa
[ Paper ]
Oral
Thu Dec 10 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Deep Learning
Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks
In Orals & Spotlights Track 34: Deep Learning
Zhou Fan · Zhichao Wang
[ Paper ]
Break
Thu Dec 10 06:45 PM -- 07:00 PM (PST)
Break
In Orals & Spotlights Track 34: Deep Learning
Spotlight
Thu Dec 10 07:00 PM -- 07:10 PM (PST) @ Orals & Spotlights: Deep Learning
Generalization bound of globally optimal non-convex neural network training: Transportation map estimation by infinite dimensional Langevin dynamics
In Orals & Spotlights Track 34: Deep Learning
Taiji Suzuki
[ Paper ]
Spotlight
Thu Dec 10 07:10 PM -- 07:20 PM (PST) @ Orals & Spotlights: Deep Learning
Kernel Based Progressive Distillation for Adder Neural Networks
In Orals & Spotlights Track 34: Deep Learning
Yixing Xu · Chang Xu · Xinghao Chen · Wei Zhang · Chunjing XU · Yunhe Wang
[ Paper ]
Spotlight
Thu Dec 10 07:20 PM -- 07:30 PM (PST) @ Orals & Spotlights: Deep Learning
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation
In Orals & Spotlights Track 34: Deep Learning
Vitaly Feldman · Chiyuan Zhang
[ Paper ]
Spotlight
Thu Dec 10 07:30 PM -- 07:40 PM (PST) @ Orals & Spotlights: Deep Learning
Collegial Ensembles
In Orals & Spotlights Track 34: Deep Learning
Etai Littwin · Ben Myara · Sima Sabah · Joshua Susskind · Shuangfei Zhai · Oren Golan
[ Paper ]
Q&A
Thu Dec 10 07:40 PM -- 07:50 PM (PST)
Joint Q&A for Preceeding Spotlights
In Orals & Spotlights Track 34: Deep Learning
Spotlight
Thu Dec 10 07:50 PM -- 08:00 PM (PST) @ Orals & Spotlights: Deep Learning
Finite Versus Infinite Neural Networks: an Empirical Study
In Orals & Spotlights Track 34: Deep Learning
Jaehoon Lee · Samuel Schoenholz · Jeffrey Pennington · Ben Adlam · Lechao Xiao · Roman Novak · Jascha Sohl-Dickstein
[ Paper ]
Spotlight
Thu Dec 10 08:00 PM -- 08:10 PM (PST) @ Orals & Spotlights: Deep Learning
Estimating Training Data Influence by Tracing Gradient Descent
In Orals & Spotlights Track 34: Deep Learning
Garima Pruthi · Frederick Liu · Satyen Kale · Mukund Sundararajan
[ Paper ]
Spotlight
Thu Dec 10 08:10 PM -- 08:20 PM (PST) @ Orals & Spotlights: Deep Learning
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
In Orals & Spotlights Track 34: Deep Learning
Juntang Zhuang · Tommy Tang · Yifan Ding · Sekhar C Tatikonda · Nicha Dvornek · Xenophon Papademetris · James Duncan
[ Paper ]
Spotlight
Thu Dec 10 08:20 PM -- 08:30 PM (PST) @ Orals & Spotlights: Deep Learning
Part-dependent Label Noise: Towards Instance-dependent Label Noise
In Orals & Spotlights Track 34: Deep Learning
Xiaobo Xia · Tongliang Liu · Bo Han · Nannan Wang · Mingming Gong · Haifeng Liu · Gang Niu · Dacheng Tao · Masashi Sugiyama
[ Paper ]
Q&A
Thu Dec 10 08:30 PM -- 08:40 PM (PST)
Joint Q&A for Preceeding Spotlights
In Orals & Spotlights Track 34: Deep Learning
Break
Thu Dec 10 08:40 PM -- 09:00 PM (PST)
Break
In Orals & Spotlights Track 34: Deep Learning