Summary of Advancing Rvfl Networks: Robust Classification with the Hawkeye Loss Function, by Mushir Akhtar et al.
Advancing RVFL networks: Robust classification with the HawkEye loss functionby Mushir Akhtar, Ritik Mishra, M.…
Advancing RVFL networks: Robust classification with the HawkEye loss functionby Mushir Akhtar, Ritik Mishra, M.…
Enhancing Solution Efficiency in Reinforcement Learning: Leveraging Sub-GFlowNet and Entropy Integrationby Siyi HeFirst submitted to…
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshesby Tianchang Shen, Zhaoshuo Li, Marc Law,…
Constraint Guided Model Quantization of Neural Networksby Quinten Van Baelen, Peter KarsmakersFirst submitted to arxiv…
Investigating the Effect of Network Pruning on Performance and Interpretabilityby Jonathan von Rad, Florian SeuffertFirst…
Towards Croppable Implicit Neural Representationsby Maor Ashkenazi, Eran TreisterFirst submitted to arxiv on: 28 Sep…
Chebyshev Feature Neural Network for Accurate Function Approximationby Zhongshu Xu, Yuan Chen, Dongbin XiuFirst submitted…
Sequencing the Neurome: Towards Scalable Exact Parameter Reconstruction of Black-Box Neural Networksby Judah Goldfeder, Quinten…
Cauchy activation function and XNetby Xin Li, Zhihong Xia, Hongkun ZhangFirst submitted to arxiv on:…
Cottention: Linear Transformers With Cosine Attentionby Gabriel Mongaras, Trevor Dohm, Eric C. LarsonFirst submitted to…