Summary of A Neural Network Training Method Based on Distributed Pid Control, by Jiang Kun
A Neural Network Training Method Based on Distributed PID Controlby Jiang KunFirst submitted to arxiv…
Summary of Tensor-based Foundations Of Ordinary Least Squares and Neural Network Regression Models, by Roberto Dias Algarte
Tensor-Based Foundations of Ordinary Least Squares and Neural Network Regression Modelsby Roberto Dias AlgarteFirst submitted…
Summary of Hysteresis Activation Function For Efficient Inference, by Moshe Kimhi et al.
Hysteresis Activation Function for Efficient Inferenceby Moshe Kimhi, Idan Kashani, Avi Mendelson, Chaim BaskinFirst submitted…
Summary of Activation Map Compression Through Tensor Decomposition For Deep Learning, by Le-trung Nguyen et al.
Activation Map Compression through Tensor Decomposition for Deep Learningby Le-Trung Nguyen, Aël Quélennec, Enzo Tartaglione,…
Summary of On Training Of Kolmogorov-arnold Networks, by Shairoz Sohail
On Training of Kolmogorov-Arnold Networksby Shairoz SohailFirst submitted to arxiv on: 8 Nov 2024CategoriesMain: Machine…
Summary of Few-shot Task Learning Through Inverse Generative Modeling, by Aviv Netanyahu et al.
Few-Shot Task Learning through Inverse Generative Modelingby Aviv Netanyahu, Yilun Du, Antonia Bronars, Jyothish Pari,…
Summary of Stepping Forward on the Last Mile, by Chen Feng et al.
Stepping Forward on the Last Mileby Chen Feng, Shaojie Zhuo, Xiaopeng Zhang, Ramchalam Kinattinkara Ramakrishnan,…
Summary of Propneat — Efficient Gpu-compatible Backpropagation Over Neuroevolutionary Augmenting Topology Networks, by Michael Merry et al.
PropNEAT – Efficient GPU-Compatible Backpropagation over NeuroEvolutionary Augmenting Topology Networksby Michael Merry, Patricia Riddle, Jim…
Summary of Temporal-difference Learning Using Distributed Error Signals, by Jonas Guan et al.
Temporal-Difference Learning Using Distributed Error Signalsby Jonas Guan, Shon Eduard Verch, Claas Voelcker, Ethan C.…
Summary of Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level, by Antoine Grosnit et al.
Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Levelby Antoine Grosnit, Alexandre Maraval, James…