Summary of Cluster-guided Contrastive Class-imbalanced Graph Classification, by Wei Ju et al.
Cluster-guided Contrastive Class-imbalanced Graph Classificationby Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu,…
Summary of Auto-cypher: Improving Llms on Cypher Generation Via Llm-supervised Generation-verification Framework, by Aman Tiwari et al.
Auto-Cypher: Improving LLMs on Cypher generation via LLM-supervised generation-verification frameworkby Aman Tiwari, Shiva Krishna Reddy…
Summary of Pickllm: Context-aware Rl-assisted Large Language Model Routing, by Dimitrios Sikeridis et al.
PickLLM: Context-Aware RL-Assisted Large Language Model Routingby Dimitrios Sikeridis, Dennis Ramdass, Pranay PareekFirst submitted to…
Summary of Evollama: Enhancing Llms’ Understanding Of Proteins Via Multimodal Structure and Sequence Representations, by Nuowei Liu et al.
EvoLlama: Enhancing LLMs’ Understanding of Proteins via Multimodal Structure and Sequence Representationsby Nuowei Liu, Changzhi…
Summary of On the Ability Of Deep Networks to Learn Symmetries From Data: a Neural Kernel Theory, by Andrea Perin and Stephane Deny
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theoryby…
Summary of Mgda: Model-based Goal Data Augmentation For Offline Goal-conditioned Weighted Supervised Learning, by Xing Lei et al.
MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learningby Xing Lei, Xuetao Zhang,…
Summary of Are Expressive Models Truly Necessary For Offline Rl?, by Guan Wang et al.
Are Expressive Models Truly Necessary for Offline RL?by Guan Wang, Haoyi Niu, Jianxiong Li, Li…
Summary of Edge Contrastive Learning: An Augmentation-free Graph Contrastive Learning Model, by Yujun Li et al.
Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Modelby Yujun Li, Hongyuan Zhang, Yuan YuanFirst…
Summary of Apar: Modeling Irregular Target Functions in Tabular Regression Via Arithmetic-aware Pre-training and Adaptive-regularized Fine-tuning, by Hong-wei Wu et al.
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuningby Hong-Wei…
Summary of A Statistical Analysis For Supervised Deep Learning with Exponential Families For Intrinsically Low-dimensional Data, by Saptarshi Chakraborty and Peter L. Bartlett
A Statistical Analysis for Supervised Deep Learning with Exponential Families for Intrinsically Low-dimensional Databy Saptarshi…