Summary of The Complexity Dynamics Of Grokking, by Branton Demoss et al.
The Complexity Dynamics of Grokkingby Branton DeMoss, Silvia Sapora, Jakob Foerster, Nick Hawes, Ingmar PosnerFirst…
Summary of Federated Learning Of Dynamic Bayesian Network Via Continuous Optimization From Time Series Data, by Jianhong Chen et al.
Federated Learning of Dynamic Bayesian Network via Continuous Optimization from Time Series Databy Jianhong Chen,…
Summary of Dynamic Prompt Allocation and Tuning For Continual Test-time Adaptation, by Chaoran Cui et al.
Dynamic Prompt Allocation and Tuning for Continual Test-Time Adaptationby Chaoran Cui, Yongrui Zhen, Shuai Gong,…
Summary of In-dataset Trajectory Return Regularization For Offline Preference-based Reinforcement Learning, by Songjun Tu et al.
In-Dataset Trajectory Return Regularization for Offline Preference-based Reinforcement Learningby Songjun Tu, Jingbo Sun, Qichao Zhang,…
Summary of Federated Foundation Models on Heterogeneous Time Series, by Shengchao Chen et al.
Federated Foundation Models on Heterogeneous Time Seriesby Shengchao Chen, Guodong Long, Jing Jiang, Chengqi ZhangFirst…
Summary of Barking Up the Syntactic Tree: Enhancing Vlm Training with Syntactic Losses, by Jiayun Luo et al.
Barking Up The Syntactic Tree: Enhancing VLM Training with Syntactic Lossesby Jiayun Luo, Mir Rayat…
Summary of Taylor Outlier Exposure, by Kohei Fukuda et al.
Taylor Outlier Exposureby Kohei Fukuda, Hiroaki AizawaFirst submitted to arxiv on: 10 Dec 2024CategoriesMain: Computer…
Summary of Parseval Regularization For Continual Reinforcement Learning, by Wesley Chung et al.
Parseval Regularization for Continual Reinforcement Learningby Wesley Chung, Lynn Cherif, David Meger, Doina PrecupFirst submitted…
Summary of From Uncertainty to Trust: Enhancing Reliability in Vision-language Models with Uncertainty-guided Dropout Decoding, by Yixiong Fang et al.
From Uncertainty to Trust: Enhancing Reliability in Vision-Language Models with Uncertainty-Guided Dropout Decodingby Yixiong Fang,…
Summary of Dapperfl: Domain Adaptive Federated Learning with Model Fusion Pruning For Edge Devices, by Yongzhe Jia et al.
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devicesby Yongzhe Jia, Xuyun…