Summary of Self-supervised Quantization-aware Knowledge Distillation, by Kaiqi Zhao et al.
Self-Supervised Quantization-Aware Knowledge Distillationby Kaiqi Zhao, Ming ZhaoFirst submitted to arxiv on: 17 Mar 2024CategoriesMain:…
Summary of Counterfactual Analysis Of Neural Networks Used to Create Fertilizer Management Zones, by Giorgio Morales and John Sheppard
Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management Zonesby Giorgio Morales, John SheppardFirst…
Summary of Comprehensive Study Of Predictive Maintenance in Industries Using Classification Models and Lstm Model, by Saket Maheshwari et al.
Comprehensive Study Of Predictive Maintenance In Industries Using Classification Models And LSTM Modelby Saket Maheshwari,…
Summary of Emotional Intelligence Through Artificial Intelligence : Nlp and Deep Learning in the Analysis Of Healthcare Texts, by Prashant Kumar Nag et al.
Emotional Intelligence Through Artificial Intelligence : NLP and Deep Learning in the Analysis of Healthcare…
Summary of Drivaernet: a Parametric Car Dataset For Data-driven Aerodynamic Design and Prediction, by Mohamed Elrefaie et al.
DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Predictionby Mohamed Elrefaie, Angela Dai,…
Summary of Fluorosam: a Language-aligned Foundation Model For X-ray Image Segmentation, by Benjamin D. Killeen et al.
FluoroSAM: A Language-aligned Foundation Model for X-ray Image Segmentationby Benjamin D. Killeen, Liam J. Wang,…
Summary of The Effect Of Different Optimization Strategies to Physics-constrained Deep Learning For Soil Moisture Estimation, by Jianxin Xie et al.
The Effect of Different Optimization Strategies to Physics-Constrained Deep Learning for Soil Moisture Estimationby Jianxin…
Summary of A Machine Learning and Empirical Bayesian Approach For Predictive Buying in B2b E-commerce, by Tuhin Subhra De and Pranjal Singh and Alok Patel
A Machine learning and Empirical Bayesian Approach for Predictive Buying in B2B E-commerceby Tuhin Subhra…
Summary of A Pid-controlled Non-negative Tensor Factorization Model For Analyzing Missing Data in Nilm, by Dengyu Shi
A PID-Controlled Non-Negative Tensor Factorization Model for Analyzing Missing Data in NILMby DengYu ShiFirst submitted…
Summary of Framequant: Flexible Low-bit Quantization For Transformers, by Harshavardhan Adepu et al.
FrameQuant: Flexible Low-Bit Quantization for Transformersby Harshavardhan Adepu, Zhanpeng Zeng, Li Zhang, Vikas SinghFirst submitted…