Summary of Convergence Of Gradient Descent For Recurrent Neural Networks: a Nonasymptotic Analysis, by Semih Cayci et al.
Convergence of Gradient Descent for Recurrent Neural Networks: A Nonasymptotic Analysisby Semih Cayci, Atilla EryilmazFirst…
Summary of Spatio-temporal Few-shot Learning Via Diffusive Neural Network Generation, by Yuan Yuan et al.
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generationby Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng…
Summary of Slade: Detecting Dynamic Anomalies in Edge Streams Without Labels Via Self-supervised Learning, by Jongha Lee et al.
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learningby Jongha Lee, Sunwoo…
Summary of Compression Repair For Feedforward Neural Networks Based on Model Equivalence Evaluation, by Zihao Mo et al.
Compression Repair for Feedforward Neural Networks Based on Model Equivalence Evaluationby Zihao Mo, Yejiang Yang,…
Summary of Towards Theoretical Understandings Of Self-consuming Generative Models, by Shi Fu et al.
Towards Theoretical Understandings of Self-Consuming Generative Modelsby Shi Fu, Sen Zhang, Yingjie Wang, Xinmei Tian,…
Summary of Uncertainty Quantification Of Graph Convolution Neural Network Models Of Evolving Processes, by Jeremiah Hauth et al.
Uncertainty Quantification of Graph Convolution Neural Network Models of Evolving Processesby Jeremiah Hauth, Cosmin Safta,…
Summary of Neural Networks with (low-precision) Polynomial Approximations: New Insights and Techniques For Accuracy Improvement, by Chi Zhang et al.
Neural Networks with (Low-Precision) Polynomial Approximations: New Insights and Techniques for Accuracy Improvementby Chi Zhang,…
Summary of Biasbuster: a Neural Approach For Accurate Estimation Of Population Statistics Using Biased Location Data, by Sepanta Zeighami et al.
BiasBuster: a Neural Approach for Accurate Estimation of Population Statistics using Biased Location Databy Sepanta…
Summary of Tunetables: Context Optimization For Scalable Prior-data Fitted Networks, by Benjamin Feuer et al.
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networksby Benjamin Feuer, Robin Tibor Schirrmeister, Valeriia Cherepanova,…
Summary of Mshw, a Forecasting Library to Predict Short-term Electricity Demand Based on Multiple Seasonal Holt-winters, by Oscar Trull et al.
mshw, a forecasting library to predict short-term electricity demand based on multiple seasonal Holt-Wintersby Oscar…