Workshop
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NeuZip: Memory-Efficient Training and Inference with Dynamic Compression of Neural Networks
Yongchang Hao · Yanshuai Cao · Lili Mou
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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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Workshop
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Convolutional Hierarchical Deep Learning Neural Networks-Tensor Decomposition (C-HiDeNN-TD): a scalable surrogate modeling approach for large-scale physical systems
Jiachen Guo · Chanwook Park · Xiaoyu Xie · Zhongsheng Sang · Gregory J. Wagner · Kam Liu
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Affinity Event
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Graph Neural Network-Enhanced Multi-Task Learning for Menstrual Disorder Prediction Using Multi-Omics Data
Comfort Adesina
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Workshop
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Convergence Guarantees for Neural Network-Based Hamilton–Jacobi Reachability
William Hofgard
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Poster
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Thu 11:00
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A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models
Shivvrat Arya · Tahrima Rahman · Vibhav Gogate
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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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Affinity Event
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Neural Machine Translators (NMTs) as Efficient Forward and Backward Arabic Transliterators
Toyib Ogunremi · Anthony Soronnadi · Olamide Shogbamu · Olubayo Adekanmbi
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Workshop
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Sun 12:00
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DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations
Wenhao Hu · Paul Henderson · José Cano
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Workshop
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HERTA: A High-Efficiency and Rigorous Training Algorithm for Unfolded Graph Neural Networks
Yongyi Yang · Jiaming Yang · Wei Hu · Michal Derezinski
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Workshop
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Computationally Efficient Laplace Approximations for Neural Networks
Swarnali Raha · Kshitij Khare · Rohit Patra
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