Summary of Smart: Towards Pre-trained Missing-aware Model For Patient Health Status Prediction, by Zhihao Yu et al.
SMART: Towards Pre-trained Missing-Aware Model for Patient Health Status Predictionby Zhihao Yu, Xu Chu, Yujie…
Summary of Unmasking Efficiency: Learning Salient Sparse Models in Non-iid Federated Learning, by Riyasat Ohib et al.
Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learningby Riyasat Ohib, Bishal Thapaliya, Gintare…
Summary of Deep Learning in Earthquake Engineering: a Comprehensive Review, by Yazhou Xie
Deep Learning in Earthquake Engineering: A Comprehensive Reviewby Yazhou XieFirst submitted to arxiv on: 15…
Summary of Can We Defend Against the Unknown? An Empirical Study About Threshold Selection For Neural Network Monitoring, by Khoi Tran Dang et al.
Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network…
Summary of Gradient Estimation and Variance Reduction in Stochastic and Deterministic Models, by Ronan Keane
Gradient Estimation and Variance Reduction in Stochastic and Deterministic Modelsby Ronan KeaneFirst submitted to arxiv…
Summary of Beyond the Black Box: Do More Complex Deep Learning Models Provide Superior Xai Explanations?, by Mateusz Cedro et al.
Beyond the Black Box: Do More Complex Deep Learning Models Provide Superior XAI Explanations?by Mateusz…
Summary of Weakly-supervised Causal Discovery Based on Fuzzy Knowledge and Complex Data Complementarity, by Wenrui Li et al.
Weakly-supervised causal discovery based on fuzzy knowledge and complex data complementarityby Wenrui Li, Wei Zhang,…
Summary of Promoting Ai Equity in Science: Generalized Domain Prompt Learning For Accessible Vlm Research, by Qinglong Cao et al.
Promoting AI Equity in Science: Generalized Domain Prompt Learning for Accessible VLM Researchby Qinglong Cao,…
Summary of Expensive Multi-objective Bayesian Optimization Based on Diffusion Models, by Bingdong Li et al.
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Modelsby Bingdong Li, Zixiang Di, Yongfan Lu, Hong…
Summary of Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory, by Xueyan Niu et al.
Beyond Scaling Laws: Understanding Transformer Performance with Associative Memoryby Xueyan Niu, Bo Bai, Lei Deng,…