Summary of Architecture-aware Learning Curve Extrapolation Via Graph Ordinary Differential Equation, by Yanna Ding et al.
Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equationby Yanna Ding, Zijie Huang, Xiao Shou,…
Summary of Efficient Neural Network Encoding For 3d Color Lookup Tables, by Vahid Zehtab et al.
Efficient Neural Network Encoding for 3D Color Lookup Tablesby Vahid Zehtab, David B. Lindell, Marcus…
Summary of Difficulty-aware Balancing Margin Loss For Long-tailed Recognition, by Minseok Son et al.
Difficulty-aware Balancing Margin Loss for Long-tailed Recognitionby Minseok Son, Inyong Koo, Jinyoung Park, Changick KimFirst…
Summary of Prenet: Leveraging Computational Features to Predict Deep Neural Network Training Time, by Alireza Pourali et al.
PreNeT: Leveraging Computational Features to Predict Deep Neural Network Training Timeby Alireza Pourali, Arian Boukani,…
Summary of A Multi-fidelity Graph U-net Model For Accelerated Physics Simulations, by Rini Jasmine Gladstone and Hadi Meidani
A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulationsby Rini Jasmine Gladstone, Hadi MeidaniFirst submitted…
Summary of Ai-powered Intracranial Hemorrhage Detection: a Co-scale Convolutional Attention Model with Uncertainty-based Fuzzy Integral Operator and Feature Screening, by Mehdi Hosseini Chagahi et al.
AI-Powered Intracranial Hemorrhage Detection: A Co-Scale Convolutional Attention Model with Uncertainty-Based Fuzzy Integral Operator and…
Summary of Trainable Adaptive Activation Function Structure (taafs) Enhances Neural Network Force Field Performance with Only Dozens Of Additional Parameters, by Enji Li
Trainable Adaptive Activation Function Structure (TAAFS) Enhances Neural Network Force Field Performance with Only Dozens…
Summary of Lorentzian Residual Neural Networks, by Neil He et al.
Lorentzian Residual Neural Networksby Neil He, Menglin Yang, Rex YingFirst submitted to arxiv on: 19…
Summary of Knowledge Distillation in Rnn-attention Models For Early Prediction Of Student Performance, by Sukrit Leelaluk et al.
Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performanceby Sukrit Leelaluk, Cheng Tang,…
Summary of Split Learning in Computer Vision For Semantic Segmentation Delay Minimization, by Nikos G. Evgenidis et al.
Split Learning in Computer Vision for Semantic Segmentation Delay Minimizationby Nikos G. Evgenidis, Nikos A.…