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Poster
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Fri 16:30
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Improved Particle Approximation Error for Mean Field Neural Networks
Atsushi Nitanda
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Workshop
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Cyclic Data Parallelism for Efficient Parallelism of Deep Neural Networks
Louis Fournier · Edouard Oyallon
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Poster
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Thu 11:00
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ECLipsE: Efficient Compositional Lipschitz Constant Estimation for Deep Neural Networks
Yuezhu Xu · S Sivaranjani
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Poster
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Thu 11:00
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Deep Graph Mating
Yongcheng Jing · Seok-Hee Hong · Dacheng Tao
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Workshop
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Learning From Convolution-based Unlearnable Datasets
Dohyun Kim · Pedro Sandoval-Segura
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Workshop
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Adaptive Quantization and Pruning of Deep Neural Networks via Layer Importance Estimation
Tushar Shinde
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Poster
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Wed 16:30
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Advancing Training Efficiency of Deep Spiking Neural Networks through Rate-based Backpropagation
Chengting Yu · Lei Liu · Gaoang Wang · Erping Li · Aili Wang
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Workshop
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Improving Deep Learning Speed and Performance through Synaptic Neural Balance
Antonios Alexos · ian domingo · Pierre Baldi
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Poster
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Wed 16:30
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Robust Graph Neural Networks via Unbiased Aggregation
Zhichao Hou · Ruiqi Feng · Tyler Derr · Xiaorui Liu
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Poster
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Fri 11:00
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Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
Thibault Simonetto · Salah GHAMIZI · Maxime Cordy
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Poster
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Fri 11:00
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Topological obstruction to the training of shallow ReLU neural networks
Marco Nurisso · Pierrick Leroy · Francesco Vaccarino
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Workshop
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Sat 15:45
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Scalable Subsampling Inference for Deep Neural Networks
Kejin Wu · Dimitris Politis
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