Summary of Projected Forward Gradient-guided Frank-wolfe Algorithm Via Variance Reduction, by M. Rostami et al.
Projected Forward Gradient-Guided Frank-Wolfe Algorithm via Variance Reductionby M. Rostami, S. S. KiaFirst submitted to…
Summary of Forward Learning Of Graph Neural Networks, by Namyong Park et al.
Forward Learning of Graph Neural Networksby Namyong Park, Xing Wang, Antoine Simoulin, Shuai Yang, Grey…
Summary of Fast Inference Of Removal-based Node Influence, by Weikai Li et al.
Fast Inference of Removal-Based Node Influenceby Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou SunFirst submitted…
Summary of Gaia: Categorical Foundations Of Generative Ai, by Sridhar Mahadevan
GAIA: Categorical Foundations of Generative AIby Sridhar MahadevanFirst submitted to arxiv on: 28 Feb 2024CategoriesMain:…
Summary of Efficient Backpropagation with Variance-controlled Adaptive Sampling, by Ziteng Wang et al.
Efficient Backpropagation with Variance-Controlled Adaptive Samplingby Ziteng Wang, Jianfei Chen, Jun ZhuFirst submitted to arxiv…
Summary of Extraction Propagation, by Stephen Pasteris et al.
Extraction Propagationby Stephen Pasteris, Chris Hicks, Vasilios MavroudisFirst submitted to arxiv on: 24 Feb 2024CategoriesMain:…
Summary of Second-order Fine-tuning Without Pain For Llms:a Hessian Informed Zeroth-order Optimizer, by Yanjun Zhao et al.
Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizerby Yanjun Zhao, Sizhe Dang, Haishan…
Summary of Neuroflux: Memory-efficient Cnn Training Using Adaptive Local Learning, by Dhananjay Saikumar and Blesson Varghese
NeuroFlux: Memory-Efficient CNN Training Using Adaptive Local Learningby Dhananjay Saikumar, Blesson VargheseFirst submitted to arxiv…
Summary of Moonwalk: Inverse-forward Differentiation, by Dmitrii Krylov et al.
Moonwalk: Inverse-Forward Differentiationby Dmitrii Krylov, Armin Karamzade, Roy FoxFirst submitted to arxiv on: 22 Feb…
Summary of Ebft: Effective and Block-wise Fine-tuning For Sparse Llms, by Song Guo et al.
EBFT: Effective and Block-Wise Fine-Tuning for Sparse LLMsby Song Guo, Fan Wu, Lei Zhang, Xiawu…