Summary of Unifying Generation and Prediction on Graphs with Latent Graph Diffusion, by Cai Zhou et al.
Unifying Generation and Prediction on Graphs with Latent Graph Diffusionby Cai Zhou, Xiyuan Wang, Muhan…
Summary of Competesmoe — Effective Training Of Sparse Mixture Of Experts Via Competition, by Quang Pham et al.
CompeteSMoE – Effective Training of Sparse Mixture of Experts via Competitionby Quang Pham, Giang Do,…
Summary of Absolute Convergence and Error Thresholds in Non-active Adaptive Sampling, by Manuel Vilares Ferro et al.
Absolute convergence and error thresholds in non-active adaptive samplingby Manuel Vilares Ferro, Victor M. Darriba…
Summary of Timer: Generative Pre-trained Transformers Are Large Time Series Models, by Yong Liu et al.
Timer: Generative Pre-trained Transformers Are Large Time Series Modelsby Yong Liu, Haoran Zhang, Chenyu Li,…
Summary of Autotimes: Autoregressive Time Series Forecasters Via Large Language Models, by Yong Liu et al.
AutoTimes: Autoregressive Time Series Forecasters via Large Language Modelsby Yong Liu, Guo Qin, Xiangdong Huang,…
Summary of Noah: Learning Pairwise Object Category Attentions For Image Classification, by Chao Li et al.
NOAH: Learning Pairwise Object Category Attentions for Image Classificationby Chao Li, Aojun Zhou, Anbang YaoFirst…
Summary of Revisiting the Power Of Prompt For Visual Tuning, by Yuzhu Wang et al.
Revisiting the Power of Prompt for Visual Tuningby Yuzhu Wang, Lechao Cheng, Chaowei Fang, Dingwen…
Summary of Dellma: Decision Making Under Uncertainty with Large Language Models, by Ollie Liu et al.
DeLLMa: Decision Making Under Uncertainty with Large Language Modelsby Ollie Liu, Deqing Fu, Dani Yogatama,…
Summary of Solution-oriented Agent-based Models Generation with Verifier-assisted Iterative In-context Learning, by Tong Niu et al.
Solution-oriented Agent-based Models Generation with Verifier-assisted Iterative In-context Learningby Tong Niu, Weihao Zhang, Rong ZhaoFirst…
Summary of Fredf: Learning to Forecast in Frequency Domain, by Hao Wang et al.
FreDF: Learning to Forecast in Frequency Domainby Hao Wang, Licheng Pan, Zhichao Chen, Degui Yang,…