Summary of A Survey on Lora Of Large Language Models, by Yuren Mao et al.
A Survey on LoRA of Large Language Modelsby Yuren Mao, Yuhang Ge, Yijiang Fan, Wenyi…
Summary of Learning by the F-adjoint, By Ahmed Boughammoura
Learning by the F-adjointby Ahmed BoughammouraFirst submitted to arxiv on: 8 Jul 2024CategoriesMain: Machine Learning…
Summary of An Open Source Multi-agent Deep Reinforcement Learning Routing Simulator For Satellite Networks, by Federico Lozano-cuadra et al.
An open source Multi-Agent Deep Reinforcement Learning Routing Simulator for satellite networksby Federico Lozano-Cuadra, Mathias…
Summary of No Train, All Gain: Self-supervised Gradients Improve Deep Frozen Representations, by Walter Simoncini et al.
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representationsby Walter Simoncini, Spyros Gidaris, Andrei…
Summary of Because: Bilinear Causal Representation For Generalizable Offline Model-based Reinforcement Learning, by Haohong Lin et al.
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learningby Haohong Lin, Wenhao Ding, Jian…
Summary of Q-sparse: All Large Language Models Can Be Fully Sparsely-activated, by Hongyu Wang et al.
Q-Sparse: All Large Language Models can be Fully Sparsely-Activatedby Hongyu Wang, Shuming Ma, Ruiping Wang,…
Summary of Walking the Values in Bayesian Inverse Reinforcement Learning, by Ondrej Bajgar et al.
Walking the Values in Bayesian Inverse Reinforcement Learningby Ondrej Bajgar, Alessandro Abate, Konstantinos Gatsis, Michael…
Summary of Vgbench: Evaluating Large Language Models on Vector Graphics Understanding and Generation, by Bocheng Zou et al.
VGBench: Evaluating Large Language Models on Vector Graphics Understanding and Generationby Bocheng Zou, Mu Cai,…
Summary of Circuitsynth: Leveraging Large Language Models For Circuit Topology Synthesis, by Prashanth Vijayaraghavan et al.
CIRCUITSYNTH: Leveraging Large Language Models for Circuit Topology Synthesisby Prashanth Vijayaraghavan, Luyao Shi, Ehsan Degan,…
Summary of Residual Resampling-based Physics-informed Neural Network For Neutron Diffusion Equations, by Heng Zhang et al.
Residual resampling-based physics-informed neural network for neutron diffusion equationsby Heng Zhang, Yun-Ling He, Dong Liu,…