Summary of Slim: Let Llm Learn More and Forget Less with Soft Lora and Identity Mixture, by Jiayi Han et al.
SLIM: Let LLM Learn More and Forget Less with Soft LoRA and Identity Mixtureby Jiayi…
Summary of From Logits to Hierarchies: Hierarchical Clustering Made Simple, by Emanuele Palumbo et al.
From Logits to Hierarchies: Hierarchical Clustering made Simpleby Emanuele Palumbo, Moritz Vandenhirtz, Alain Ryser, Imant…
Summary of Distributionally Robust Clustered Federated Learning: a Case Study in Healthcare, by Xenia Konti et al.
Distributionally Robust Clustered Federated Learning: A Case Study in Healthcareby Xenia Konti, Hans Riess, Manos…
Summary of Matcha: Mitigating Graph Structure Shifts with Test-time Adaptation, by Wenxuan Bao et al.
Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptationby Wenxuan Bao, Zhichen Zeng, Zhining Liu, Hanghang…
Summary of Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention, by Siyuan Huang et al.
Cluster-wise Graph Transformer with Dual-granularity Kernelized Attentionby Siyuan Huang, Yunchong Song, Jiayue Zhou, Zhouhan LinFirst…
Summary of Shade: Deep Density-based Clustering, by Anna Beer et al.
SHADE: Deep Density-based Clusteringby Anna Beer, Pascal Weber, Lukas Miklautz, Collin Leiber, Walid Durani, Christian…
Summary of Gaussian-based and Outside-the-box Runtime Monitoring Join Forces, by Vahid Hashemi et al.
Gaussian-Based and Outside-the-Box Runtime Monitoring Join Forcesby Vahid Hashemi, Jan Křetínský, Sabine Rieder, Torsten Schön,…
Summary of Hierarchical Matrix Completion For the Prediction Of Properties Of Binary Mixtures, by Dominik Gond et al.
Hierarchical Matrix Completion for the Prediction of Properties of Binary Mixturesby Dominik Gond, Jan-Tobias Sohns,…
Summary of Model-glue: Democratized Llm Scaling For a Large Model Zoo in the Wild, by Xinyu Zhao et al.
Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wildby Xinyu Zhao, Guoheng…
Summary of Failure-proof Non-contrastive Self-supervised Learning, by Emanuele Sansone et al.
Failure-Proof Non-Contrastive Self-Supervised Learningby Emanuele Sansone, Tim Lebailly, Tinne TuytelaarsFirst submitted to arxiv on: 7…