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Optimizing Compression Neural Networks for Weather and Climate Data
Dirichlet Pruning for Neural Network Compression | AISC
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained...
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FSPC: A Lossy Spike Compression Through Correlated-AER Merging In Spiking Neural Networks
Neural Network Compression: From Requirements to Deployment
Neural Network Atomic Data Compression and Simulation
Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity
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Last Updated: October 1, 2026
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5-min ML Paper Challenge EIE: Efficient Inference Engine on Spring 2018 William and Mary Department of Computer Science CSCI680 by Sirui Wang and Robert Xing. For slides and more information on the paper, visit ... Authors: Haichuan Yang, Shupeng Gui, Yuhao Zhu, Ji Liu Description: Deep Presentation Dr. Nikolai Solmsdorf CASTIEL 2 has received funding from the European High-Performance Computing Joint ... ... i am going to present my final year project on the topic of In this AI Research Roundup episode, Alex discusses the paper: 'Cut Less, Fold More: Model Deep Learning and Combinatorial Optimization 2021 "Scaling Up Exact 18th IEEE MCSoC 2025 - Regyular Presentation. This video represents an overview for a proposal I wrote while receiving my Master's at Penn State. It is a broad overview of a ...