The importance of audit and the use of self-reflective were emphasized. Internal validation using Turning Point(;) was most useful. This was the first time that the SOM had used a road show format to deliver an educational topic. The road show format was successful, and other similar topics...
Structured Pruning of Neural Networks with Budget-Aware Regularization CVPR F - Importance Estimation for Neural Network Pruning CVPR F github OICSR: Out-In-Channel Sparsity Regularization for Compact Deep Neural Networks CVPR F - Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Ar...
A backbone-centred energy function of neural networks for protein design Bin Huang, Yang Xu, Xiuhong Hu, Yongrui Liu, Shanhui Liao, Jiahai Zhang, Chengdong Huang, Jingjun Hong, Quan Chen & Haiyan Liu Nature (2022) • code De novo Design of Cavity-Containing Proteins with a Backbone-Cen...
The importance of Wnt pathway has been documented in these tumors. We examined the presence of CTNNB1 mutations, seen in sporadic tumors, and germline mutations of the APC gene, associated with familial adenomatous polyposis (FAP), in a series of pediatric desmoids.Methods: Forty-four desmoids...
More importantly the applications of ML/DL/AI into industry areas such as Transportation, Medicine/Healthcare etc. will be something I'll watch with keen interest and would love to share the same with you. Finally, it is YOUR help I will seek to make it more useful and less boring, so...
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments You Only Cut Once: Boosting Data Augmentation with a Single Cut On the Effects of Artificial Data Modification DAVINZ: Data Valuation using Deep Neural Networks at Initialization ...
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks bot? Detecting Pretraining Data from Large Language Models Backdoor BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models Towards Reliable and Efficient Backdoor Trigger Inversion via Decoupling Ben...
Neural networksSupply-demand balanceIn contrast to most contemporary literature on demand-side management (DSM) in microgrids (MG), which often neglects the granularity of the load importance degree prior to the shedding time or at best arbitrarily fixes a certain load priority list (LPL), this ...
[2011] On the Expressive Power of Deep Architectures.pdf [2012 Book] A Practical Guide to Training Restricted Boltzmann Machines.pdf [2012 Dropout] Improving neural networks by preventing co-adaptation of feature detectors.pdf [2012 ICML] A Generative Process for Sampling Contractive Auto-Encoders....
Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order OptimizationJiaqi Gu; Chenghao Feng; Zheng Zhao; Zhoufeng Ying; Ray T. Chen; David Z. Pan2021 Attentive Neural Point Processes for Event ForecastingYulong Gu2021 ...