Summary of Segmn: a Structure-enhanced Graph Matching Network For Graph Similarity Learning, by Wenjun Wang et al.
SEGMN: A Structure-Enhanced Graph Matching Network for Graph Similarity Learningby Wenjun Wang, Jiacheng Lu, Kejia…
Summary of Constrained Multi-objective Bayesian Optimization Through Optimistic Constraints Estimation, by Diantong Li et al.
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimationby Diantong Li, Fengxue Zhang, Chong Liu, Yuxin…
Summary of Policy Aggregation, by Parand A. Alamdari et al.
Policy Aggregationby Parand A. Alamdari, Soroush Ebadian, Ariel D. ProcacciaFirst submitted to arxiv on: 6…
Summary of Multi-model Ensemble Conformal Prediction in Dynamic Environments, by Erfan Hajihashemi and Yanning Shen
Multi-model Ensemble Conformal Prediction in Dynamic Environmentsby Erfan Hajihashemi, Yanning ShenFirst submitted to arxiv on:…
Summary of Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach, by Hanyang Yuan et al.
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approachby Hanyang Yuan,…
Summary of Generalized Trusted Multi-view Classification Framework with Hierarchical Opinion Aggregation, by Long Shi et al.
Generalized Trusted Multi-view Classification Framework with Hierarchical Opinion Aggregationby Long Shi, Chuanqing Tang, Huangyi Deng,…
Summary of Neurips 2023 Competition: Privacy Preserving Federated Learning Document Vqa, by Marlon Tobaben et al.
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQAby Marlon Tobaben, Mohamed Ali Souibgui, Rubèn…
Summary of Beyond Model Adaptation at Test Time: a Survey, by Zehao Xiao et al.
Beyond Model Adaptation at Test Time: A Surveyby Zehao Xiao, Cees G. M. SnoekFirst submitted…
Summary of Propneat — Efficient Gpu-compatible Backpropagation Over Neuroevolutionary Augmenting Topology Networks, by Michael Merry et al.
PropNEAT – Efficient GPU-Compatible Backpropagation over NeuroEvolutionary Augmenting Topology Networksby Michael Merry, Patricia Riddle, Jim…
Summary of Human-in-the-loop Feature Selection Using Interpretable Kolmogorov-arnold Network-based Double Deep Q-network, by Md Abrar Jahin et al.
Human-in-the-Loop Feature Selection Using Interpretable Kolmogorov-Arnold Network-based Double Deep Q-Networkby Md Abrar Jahin, M. F.…