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Oral
Tue Apr 26 01:00 AM -- 01:15 AM (PDT)
Expressiveness and Approximation Properties of Graph Neural Networks
In Oral 2: Understanding Deep Learning
Floris Geerts · Juan L. Reutter
Oral
Tue Apr 26 01:15 AM -- 01:30 AM (PDT)
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path
In Oral 2: Understanding Deep Learning
X.Y. Han · Vardan Papyan · David Donoho
Oral
Tue Apr 26 01:30 AM -- 01:45 AM (PDT)
Learning Strides in Convolutional Neural Networks
In Oral 2: Understanding Deep Learning
Rachid Riad · Olivier Teboul · David Grangier · Neil Zeghidour
Oral
Tue Apr 26 01:45 AM -- 02:00 AM (PDT)
The Hidden Convex Optimization Landscape of Regularized Two-Layer ReLU Networks: an Exact Characterization of Optimal Solutions
In Oral 2: Understanding Deep Learning
Yifei Wang · Jonathan Lacotte · Mert Pilanci
Oral
Tue Apr 26 02:00 AM -- 02:15 AM (PDT)
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
In Oral 2: Understanding Deep Learning
Chulhee Yun · Shashank Rajput · Suvrit Sra
Oral
Tue Apr 26 02:15 AM -- 02:30 AM (PDT)
DISCOVERING AND EXPLAINING THE REPRESENTATION BOTTLENECK OF DNNS
In Oral 2: Understanding Deep Learning
Huiqi Deng · Qihan Ren · Hao Zhang · Quanshi Zhang
Oral
Tue Apr 26 02:30 AM -- 02:45 AM (PDT)
Representational Continuity for Unsupervised Continual Learning
In Oral 2: Understanding Deep Learning
Divyam Madaan · Jaehong Yoon · Yuanchun Li · Yunxin Liu · Sung Ju Hwang