Summary of The Fibonacci Network: a Simple Alternative For Positional Encoding, by Yair Bleiberg and Michael Werman
The Fibonacci Network: A Simple Alternative for Positional Encodingby Yair Bleiberg, Michael WermanFirst submitted to…
Summary of Dwfl: Enhancing Federated Learning Through Dynamic Weighted Averaging, by Prakash Chourasia et al.
DWFL: Enhancing Federated Learning through Dynamic Weighted Averagingby Prakash Chourasia, Tamkanat E Ali, Sarwan Ali,…
Summary of Interpretable Measurement Of Cnn Deep Feature Density Using Copula and the Generalized Characteristic Function, by David Chapman et al.
Interpretable Measurement of CNN Deep Feature Density using Copula and the Generalized Characteristic Functionby David…
Summary of Ascan: Asymmetric Convolution-attention Networks For Efficient Recognition and Generation, by Anil Kag et al.
AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generationby Anil Kag, Huseyin Coskun, Jierun Chen,…
Summary of Is Network Fragmentation a Useful Complexity Measure?, by Coenraad Mouton et al.
Is network fragmentation a useful complexity measure?by Coenraad Mouton, Randle Rabe, Daniël G. Haasbroek, Marthinus…
Summary of Normalized Space Alignment: a Versatile Metric For Representation Analysis, by Danish Ebadulla et al.
Normalized Space Alignment: A Versatile Metric for Representation Analysisby Danish Ebadulla, Aditya Gulati, Ambuj SinghFirst…
Summary of Uncertainty Prediction Neural Network (upnet): Embedding Artificial Neural Network in Bayesian Inversion Framework to Quantify the Uncertainty Of Remote Sensing Retrieval, by Dasheng Fan et al.
Uncertainty Prediction Neural Network (UpNet): Embedding Artificial Neural Network in Bayesian Inversion Framework to Quantify…
Summary of Pruning Literals For Highly Efficient Explainability at Word Level, by Rohan Kumar Yadav et al.
Pruning Literals for Highly Efficient Explainability at Word Levelby Rohan Kumar Yadav, Bimal Bhattarai, Abhik…
Summary of Neuro-symbolic Ai: Explainability, Challenges, and Future Trends, by Xin Zhang et al.
Neuro-Symbolic AI: Explainability, Challenges, and Future Trendsby Xin Zhang, Victor S. ShengFirst submitted to arxiv…
Summary of A Bayesian Mixture Model Of Temporal Point Processes with Determinantal Point Process Prior, by Yiwei Dong et al.
A Bayesian Mixture Model of Temporal Point Processes with Determinantal Point Process Priorby Yiwei Dong,…