Summary of Scalable Nested Optimization For Deep Learning, by Jonathan Lorraine
Scalable Nested Optimization for Deep Learningby Jonathan LorraineFirst submitted to arxiv on: 1 Jul 2024CategoriesMain:…
Summary of Fairpriori: Improving Biased Subgroup Discovery For Deep Neural Network Fairness, by Kacy Zhou et al.
Fairpriori: Improving Biased Subgroup Discovery for Deep Neural Network Fairnessby Kacy Zhou, Jiawen Wen, Nan…
Summary of Maze Discovery Using Multiple Robots Via Federated Learning, by Kalpana Ranasinghe et al.
Maze Discovery using Multiple Robots via Federated Learningby Kalpana Ranasinghe, H.P. Madushanka, Rafaela Scaciota, Sumudu…
Summary of Physics-inspired Deep Learning and Transferable Models For Bridge Scour Prediction, by Negin Yousefpour et al.
Physics-Inspired Deep Learning and Transferable Models for Bridge Scour Predictionby Negin Yousefpour, Bo WangFirst submitted…
Summary of Metric-entropy Limits on Nonlinear Dynamical System Learning, by Yang Pan et al.
Metric-Entropy Limits on Nonlinear Dynamical System Learningby Yang Pan, Clemens Hutter, Helmut BölcskeiFirst submitted to…
Summary of Revisiting Random Walks For Learning on Graphs, by Jinwoo Kim et al.
Revisiting Random Walks for Learning on Graphsby Jinwoo Kim, Olga Zaghen, Ayhan Suleymanzade, Youngmin Ryou,…
Summary of Bridging Smoothness and Approximation: Theoretical Insights Into Over-smoothing in Graph Neural Networks, by Guangrui Yang et al.
Bridging Smoothness and Approximation: Theoretical Insights into Over-Smoothing in Graph Neural Networksby Guangrui Yang, Jianfei…
Summary of Energy-aware Decentralized Learning with Intermittent Model Training, by Akash Dhasade et al.
Energy-Aware Decentralized Learning with Intermittent Model Trainingby Akash Dhasade, Paolo Dini, Elia Guerra, Anne-Marie Kermarrec,…
Summary of Complementary Fusion Of Deep Network and Tree Model For Eta Prediction, by Yurui Huang et al.
Complementary Fusion of Deep Network and Tree Model for ETA Predictionby YuRui Huang, Jie Zhang,…
Summary of We-math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?, by Runqi Qiao et al.
We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning?by Runqi Qiao, Qiuna Tan, Guanting…