Summary of Attention-based Feature Compression For Cnn Inference Offloading in Edge Computing, by Nan Li et al.
Attention-based Feature Compression for CNN Inference Offloading in Edge Computingby Nan Li, Alexandros Iosifidis, Qi…
Attention-based Feature Compression for CNN Inference Offloading in Edge Computingby Nan Li, Alexandros Iosifidis, Qi…
A Layered Architecture for Universal Causalityby Sridhar MahadevanFirst submitted to arxiv on: 18 Dec 2022CategoriesMain:…
FlatENN: Train Flat for Enhanced Fault Tolerance of Quantized Deep Neural Networksby Akul Malhotra, Sumeet…
On-Device Training Under 256KB Memoryby Ji Lin, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan,…
Going Beyond Approximation: Encoding Constraints for Explainable Multi-hop Inference via Differentiable Combinatorial Solversby Mokanarangan Thayaparan,…
Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classificationby Lirong Wu, Jun Xia, Haitao Lin,…
Over-the-Air Ensemble Inference with Model Privacyby Selim F. Yilmaz, Burak Hasircioglu, Deniz GunduzFirst submitted to…