Summary of Dtmm: Deploying Tinyml Models on Extremely Weak Iot Devices with Pruning, by Lixiang Han et al.
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruningby Lixiang Han, Zhen Xiao,…
Summary of Rethinking Impersonation and Dodging Attacks on Face Recognition Systems, by Fengfan Zhou et al.
Rethinking Impersonation and Dodging Attacks on Face Recognition Systemsby Fengfan Zhou, Qianyu Zhou, Bangjie Yin,…
Summary of Stochastic Subnetwork Annealing: a Regularization Technique For Fine Tuning Pruned Subnetworks, by Tim Whitaker et al.
Stochastic Subnetwork Annealing: A Regularization Technique for Fine Tuning Pruned Subnetworksby Tim Whitaker, Darrell WhitleyFirst…
Summary of Gd Doesn’t Make the Cut: Three Ways That Non-differentiability Affects Neural Network Training, by Siddharth Krishna Kumar
GD doesn’t make the cut: Three ways that non-differentiability affects neural network trainingby Siddharth Krishna…
Summary of Edge-enabled Anomaly Detection and Information Completion For Social Network Knowledge Graphs, by Fan Lu et al.
Edge-Enabled Anomaly Detection and Information Completion for Social Network Knowledge Graphsby Fan Lu, Quan Qi,…
Summary of Theoretical and Empirical Advances in Forest Pruning, by Albert Dorador
Theoretical and Empirical Advances in Forest Pruningby Albert DoradorFirst submitted to arxiv on: 10 Jan…
Summary of Esacl: Efficient Continual Learning Of Sparse Models, by Weijieying Ren et al.
EsaCL: Efficient Continual Learning of Sparse Modelsby Weijieying Ren, Vasant G HonavarFirst submitted to arxiv…
Summary of Synhing: Synthetic Heterogeneous Information Network Generation For Graph Learning and Explanation, by Ming-yi Hong et al.
SynHING: Synthetic Heterogeneous Information Network Generation for Graph Learning and Explanationby Ming-Yi Hong, Yi-Hsiang Huang,…
Summary of A Physics-guided Generative Ai Toolkit For Geophysical Monitoring, by Junhuan Yang et al.
A Physics-guided Generative AI Toolkit for Geophysical Monitoringby Junhuan Yang, Hanchen Wang, Yi Sheng, Youzuo…
Summary of Optimizing Convolutional Neural Network Architecture, by Luis Balderas et al.
Optimizing Convolutional Neural Network Architectureby Luis Balderas, Miguel Lastra, José M. BenítezFirst submitted to arxiv…