Summary of Flops: Forward Learning with Optimal Sampling, by Tao Ren et al.
FLOPS: Forward Learning with OPtimal Samplingby Tao Ren, Zishi Zhang, Jinyang Jiang, Guanghao Li, Zeliang…
Summary of Pyramidal Flow Matching For Efficient Video Generative Modeling, by Yang Jin et al.
Pyramidal Flow Matching for Efficient Video Generative Modelingby Yang Jin, Zhicheng Sun, Ningyuan Li, Kun…
Summary of Conml: a Universal Meta-learning Framework with Task-level Contrastive Learning, by Shiguang Wu et al.
ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learningby Shiguang Wu, Yaqing Wang, Yatao Bian,…
Summary of Efficient Policy Evaluation with Safety Constraint For Reinforcement Learning, by Claire Chen et al.
Efficient Policy Evaluation with Safety Constraint for Reinforcement Learningby Claire Chen, Shuze Liu, Shangtong ZhangFirst…
Summary of Scaling Laws Across Model Architectures: a Comparative Analysis Of Dense and Moe Models in Large Language Models, by Siqi Wang et al.
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large…
Summary of Federated Learning with Dynamic Client Arrival and Departure: Convergence and Rapid Adaptation Via Initial Model Construction, by Zhan-lun Chang et al.
Federated Learning with Dynamic Client Arrival and Departure: Convergence and Rapid Adaptation via Initial Model…
Summary of Holistic Unlearning Benchmark: a Multi-faceted Evaluation For Text-to-image Diffusion Model Unlearning, by Saemi Moon et al.
Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearningby Saemi Moon, Minjong Lee,…
Summary of Improving Disease Comorbidity Prediction Based on Human Interactome with Biologically Supervised Graph Embedding, by Xihan Qin et al.
Improving Disease Comorbidity Prediction Based on Human Interactome with Biologically Supervised Graph Embeddingby Xihan Qin,…
Summary of Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning, by Lequan Lin et al.
Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuningby Lequan Lin, Dai…
Summary of Extreme Value Modelling Of Feature Residuals For Anomaly Detection in Dynamic Graphs, by Sevvandi Kandanaarachchi et al.
Extreme Value Modelling of Feature Residuals for Anomaly Detection in Dynamic Graphsby Sevvandi Kandanaarachchi, Conrad…