Summary of Arc: a Generalist Graph Anomaly Detector with In-context Learning, by Yixin Liu et al.
ARC: A Generalist Graph Anomaly Detector with In-Context Learningby Yixin Liu, Shiyuan Li, Yu Zheng,…
Summary of Taga: Text-attributed Graph Self-supervised Learning by Synergizing Graph and Text Mutual Transformations, By Zheng Zhang et al.
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformationsby Zheng Zhang, Yuntong…
Summary of The Impact Of Geometric Complexity on Neural Collapse in Transfer Learning, by Michael Munn et al.
The Impact of Geometric Complexity on Neural Collapse in Transfer Learningby Michael Munn, Benoit Dherin,…
Summary of In-context Time Series Predictor, by Jiecheng Lu et al.
In-context Time Series Predictorby Jiecheng Lu, Yan Sun, Shihao YangFirst submitted to arxiv on: 23…
Summary of Conditional Diffusion on Web-scale Image Pairs Leads to Diverse Image Variations, by Manoj Kumar et al.
Conditional Diffusion on Web-Scale Image Pairs leads to Diverse Image Variationsby Manoj Kumar, Neil Houlsby,…
Summary of Implicit In-context Learning, by Zhuowei Li et al.
Implicit In-context Learningby Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu,…
Summary of When Predict Can Also Explain: Few-shot Prediction to Select Better Neural Latents, by Kabir Dabholkar et al.
When predict can also explain: few-shot prediction to select better neural latentsby Kabir Dabholkar, Omri…
Summary of Time-ffm: Towards Lm-empowered Federated Foundation Model For Time Series Forecasting, by Qingxiang Liu et al.
Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecastingby Qingxiang Liu, Xu Liu, Chenghao…
Summary of Text-to-model: Text-conditioned Neural Network Diffusion For Train-once-for-all Personalization, by Zexi Li et al.
Text-to-Model: Text-Conditioned Neural Network Diffusion for Train-Once-for-All Personalizationby Zexi Li, Lingzhi Gao, Chao WuFirst submitted…
Summary of Comparative Analysis Of Different Efficient Fine Tuning Methods Of Large Language Models (llms) in Low-resource Setting, by Krishna Prasad Varadarajan Srinivasan et al.
Comparative Analysis of Different Efficient Fine Tuning Methods of Large Language Models (LLMs) in Low-Resource…