Summary of Vitime: a Visual Intelligence-based Foundation Model For Time Series Forecasting, by Luoxiao Yang et al.
ViTime: A Visual Intelligence-Based Foundation Model for Time Series Forecastingby Luoxiao Yang, Yun Wang, Xinqi…
Summary of Magmax: Leveraging Model Merging For Seamless Continual Learning, by Daniel Marczak et al.
MagMax: Leveraging Model Merging for Seamless Continual Learningby Daniel Marczak, Bartłomiej Twardowski, Tomasz Trzciński, Sebastian…
Summary of Solo: a Single Transformer For Scalable Vision-language Modeling, by Yangyi Chen et al.
SOLO: A Single Transformer for Scalable Vision-Language Modelingby Yangyi Chen, Xingyao Wang, Hao Peng, Heng…
Summary of Sketchy Moment Matching: Toward Fast and Provable Data Selection For Finetuning, by Yijun Dong et al.
Sketchy Moment Matching: Toward Fast and Provable Data Selection for Finetuningby Yijun Dong, Hoang Phan,…
Summary of Self-supervised Pretraining For Partial Differential Equations, by Varun Madhavan and Amal S Sebastian and Bharath Ramsundar and Venkatasubramanian Viswanathan
Self-supervised Pretraining for Partial Differential Equationsby Varun Madhavan, Amal S Sebastian, Bharath Ramsundar, Venkatasubramanian ViswanathanFirst…
Summary of Unsupervised Fault Detection Using Sam with a Moving Window Approach, by Ahmed Maged and Herman Shen
Unsupervised Fault Detection using SAM with a Moving Window Approachby Ahmed Maged, Herman ShenFirst submitted…
Summary of Sbora: Low-rank Adaptation with Regional Weight Updates, by Lai-man Po et al.
SBoRA: Low-Rank Adaptation with Regional Weight Updatesby Lai-Man Po, Yuyang Liu, Haoxuan Wu, Tianqi Zhang,…
Summary of See Further For Parameter Efficient Fine-tuning by Standing on the Shoulders Of Decomposition, By Chongjie Si et al.
See Further for Parameter Efficient Fine-tuning by Standing on the Shoulders of Decompositionby Chongjie Si,…
Summary of Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-constrained Iot Clients, by Shaoyuan Chen et al.
Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clientsby Shaoyuan Chen, Linlin You,…
Summary of Lora-ga: Low-rank Adaptation with Gradient Approximation, by Shaowen Wang et al.
LoRA-GA: Low-Rank Adaptation with Gradient Approximationby Shaowen Wang, Linxi Yu, Jian LiFirst submitted to arxiv…