Summary of Towards Graph Contrastive Learning: a Survey and Beyond, by Wei Ju et al.
Towards Graph Contrastive Learning: A Survey and Beyondby Wei Ju, Yifan Wang, Yifang Qin, Zhengyang…
Summary of Semantic Trajectory Data Mining with Llm-informed Poi Classification, by Yifan Liu et al.
Semantic Trajectory Data Mining with LLM-Informed POI Classificationby Yifan Liu, Chenchen Kuai, Haoxuan Ma, Xishun…
Summary of Feasibility Consistent Representation Learning For Safe Reinforcement Learning, by Zhepeng Cen et al.
Feasibility Consistent Representation Learning for Safe Reinforcement Learningby Zhepeng Cen, Yihang Yao, Zuxin Liu, Ding…
Summary of Efficient Multi-agent Reinforcement Learning by Planning, By Qihan Liu et al.
Efficient Multi-agent Reinforcement Learning by Planningby Qihan Liu, Jianing Ye, Xiaoteng Ma, Jun Yang, Bin…
Summary of Reward-punishment Reinforcement Learning with Maximum Entropy, by Jiexin Wang and Eiji Uchibe
Reward-Punishment Reinforcement Learning with Maximum Entropyby Jiexin Wang, Eiji UchibeFirst submitted to arxiv on: 20…
Summary of Retraction-free Decentralized Non-convex Optimization with Orthogonal Constraints, by Youbang Sun et al.
Retraction-Free Decentralized Non-convex Optimization with Orthogonal Constraintsby Youbang Sun, Shixiang Chen, Alfredo Garcia, Shahin ShahrampourFirst…
Summary of The Limits and Potentials Of Local Sgd For Distributed Heterogeneous Learning with Intermittent Communication, by Kumar Kshitij Patel et al.
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communicationby Kumar…
Summary of Do No Harm: a Counterfactual Approach to Safe Reinforcement Learning, by Sean Vaskov et al.
Do No Harm: A Counterfactual Approach to Safe Reinforcement Learningby Sean Vaskov, Wilko Schwarting, Chris…
Summary of Approximation and Gradient Descent Training with Neural Networks, by G. Welper
Approximation and Gradient Descent Training with Neural Networksby G. WelperFirst submitted to arxiv on: 19…
Summary of Efficiency Optimization Of Large-scale Language Models Based on Deep Learning in Natural Language Processing Tasks, by Taiyuan Mei et al.
Efficiency optimization of large-scale language models based on deep learning in natural language processing tasksby…