Summary of Bootstraping Clustering Of Gaussians For View-consistent 3d Scene Understanding, by Wenbo Zhang et al.
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understandingby Wenbo Zhang, Lu Zhang, Ping Hu,…
Summary of Contrastive Cfg: Improving Cfg in Diffusion Models by Contrasting Positive and Negative Concepts, By Jinho Chang et al.
Contrastive CFG: Improving CFG in Diffusion Models by Contrasting Positive and Negative Conceptsby Jinho Chang,…
Summary of Contrastive Graph Condensation: Advancing Data Versatility Through Self-supervised Learning, by Xinyi Gao et al.
Contrastive Graph Condensation: Advancing Data Versatility through Self-Supervised Learningby Xinyi Gao, Yayong Li, Tong Chen,…
Summary of Grid and Road Expressions Are Complementary For Trajectory Representation Learning, by Silin Zhou et al.
Grid and Road Expressions Are Complementary for Trajectory Representation Learningby Silin Zhou, Shuo Shang, Lisi…
Summary of Dissecting Representation Misalignment in Contrastive Learning Via Influence Function, by Lijie Hu et al.
Dissecting Representation Misalignment in Contrastive Learning via Influence Functionby Lijie Hu, Chenyang Ren, Huanyi Xie,…
Summary of Breaking the Reclustering Barrier in Centroid-based Deep Clustering, by Lukas Miklautz et al.
Breaking the Reclustering Barrier in Centroid-based Deep Clusteringby Lukas Miklautz, Timo Klein, Kevin Sidak, Collin…
Summary of Hg-adapter: Improving Pre-trained Heterogeneous Graph Neural Networks with Dual Adapters, by Yujie Mo and Runpeng Yu and Xiaofeng Zhu and Xinchao Wang
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adaptersby Yujie Mo, Runpeng Yu, Xiaofeng…
Summary of Contrastive Learning with Auxiliary User Detection For Identifying Activities, by Wen Ge et al.
Contrastive Learning with Auxiliary User Detection for Identifying Activitiesby Wen Ge, Guanyi Mou, Emmanuel O.…
Summary of Uncovering Capabilities Of Model Pruning in Graph Contrastive Learning, by Junran Wu et al.
Uncovering Capabilities of Model Pruning in Graph Contrastive Learningby Junran Wu, Xueyuan Chen, Shangzhe LiFirst…
Summary of Reinforcement Learning For Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting, by Mohamed Salim Aissi et al.
Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt…