Summary of Smart Sampling: Helping From Friendly Neighbors For Decentralized Federated Learning, by Lin Wang et al.
Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learningby Lin Wang, Yang Chen, Yongxin…
Summary of Rethinking Data Input For Point Cloud Upsampling, by Tongxu Zhang
Rethinking Data Input for Point Cloud Upsamplingby Tongxu ZhangFirst submitted to arxiv on: 5 Jul…
Summary of Loco: Low-bit Communication Adaptor For Large-scale Model Training, by Xingyu Xie et al.
LoCo: Low-Bit Communication Adaptor for Large-scale Model Trainingby Xingyu Xie, Zhijie Lin, Kim-Chuan Toh, Pan…
Summary of Leveraging Graph Structures to Detect Hallucinations in Large Language Models, by Noa Nonkes et al.
Leveraging Graph Structures to Detect Hallucinations in Large Language Modelsby Noa Nonkes, Sergei Agaronian, Evangelos…
Summary of Proud: Pareto-guided Diffusion Model For Multi-objective Generation, by Yinghua Yao et al.
PROUD: PaRetO-gUided Diffusion Model for Multi-objective Generationby Yinghua Yao, Yuangang Pan, Jing Li, Ivor Tsang,…
Summary of Using Petri Nets As An Integrated Constraint Mechanism For Reinforcement Learning Tasks, by Timon Sachweh et al.
Using Petri Nets as an Integrated Constraint Mechanism for Reinforcement Learning Tasksby Timon Sachweh, Pierre…
Summary of Layershuffle: Enhancing Robustness in Vision Transformers by Randomizing Layer Execution Order, By Matthias Freiberger et al.
LayerShuffle: Enhancing Robustness in Vision Transformers by Randomizing Layer Execution Orderby Matthias Freiberger, Peter Kun,…
Summary of G-adaptivity: Optimised Graph-based Mesh Relocation For Finite Element Methods, by James Rowbottom et al.
G-Adaptivity: optimised graph-based mesh relocation for finite element methodsby James Rowbottom, Georg Maierhofer, Teo Deveney,…
Summary of Graph Reinforcement Learning For Power Grids: a Comprehensive Survey, by Mohamed Hassouna et al.
Graph Reinforcement Learning for Power Grids: A Comprehensive Surveyby Mohamed Hassouna, Clara Holzhüter, Pawel Lytaev,…
Summary of Gpt Vs Retro: Exploring the Intersection Of Retrieval and Parameter-efficient Fine-tuning, by Aleksander Ficek et al.
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuningby Aleksander Ficek, Jiaqi Zeng,…