Summary of Federated Graph Learning For Cross-domain Recommendation, by Ziqi Yang et al.
Federated Graph Learning for Cross-Domain Recommendationby Ziqi Yang, Zhaopeng Peng, Zihui Wang, Jianzhong Qi, Chaochao…
Summary of Neural Material Adaptor For Visual Grounding Of Intrinsic Dynamics, by Junyi Cao et al.
Neural Material Adaptor for Visual Grounding of Intrinsic Dynamicsby Junyi Cao, Shanyan Guan, Yanhao Ge,…
Summary of Adashadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environments, by Cheng Fang et al.
AdaShadow: Responsive Test-time Model Adaptation in Non-stationary Mobile Environmentsby Cheng Fang, Sicong Liu, Zimu Zhou,…
Summary of Pretraining Graph Transformers with Atom-in-a-molecule Quantum Properties For Improved Admet Modeling, by Alessio Fallani et al.
Pretraining Graph Transformers with Atom-in-a-Molecule Quantum Properties for Improved ADMET Modelingby Alessio Fallani, Ramil Nugmanov,…
Summary of Private Language Models Via Truncated Laplacian Mechanism, by Tianhao Huang et al.
Private Language Models via Truncated Laplacian Mechanismby Tianhao Huang, Tao Yang, Ivan Habernal, Lijie Hu,…
Summary of Composite Learning Units: Generalized Learning Beyond Parameter Updates to Transform Llms Into Adaptive Reasoners, by Santosh Kumar Radha et al.
Composite Learning Units: Generalized Learning Beyond Parameter Updates to Transform LLMs into Adaptive Reasonersby Santosh…
Summary of Verifierq: Enhancing Llm Test Time Compute with Q-learning-based Verifiers, by Jianing Qi et al.
VerifierQ: Enhancing LLM Test Time Compute with Q-Learning-based Verifiersby Jianing Qi, Hao Tang, Zhigang ZhuFirst…
Summary of Scaling Up Your Kernels: Large Kernel Design in Convnets Towards Universal Representations, by Yiyuan Zhang et al.
Scaling Up Your Kernels: Large Kernel Design in ConvNets towards Universal Representationsby Yiyuan Zhang, Xiaohan…
Summary of On the Convergence Of (stochastic) Gradient Descent For Kolmogorov–arnold Networks, by Yihang Gao et al.
On the Convergence of (Stochastic) Gradient Descent for Kolmogorov–Arnold Networksby Yihang Gao, Vincent Y. F.…
Summary of Closing the Loop: Learning to Generate Writing Feedback Via Language Model Simulated Student Revisions, by Inderjeet Nair et al.
Closing the Loop: Learning to Generate Writing Feedback via Language Model Simulated Student Revisionsby Inderjeet…