Summary of A Survey Of Out-of-distribution Generalization For Graph Machine Learning From a Causal View, by Jing Ma
A Survey of Out-of-distribution Generalization for Graph Machine Learning from a Causal Viewby Jing MaFirst…
Summary of From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcare, by Ming Li et al.
From Challenges and Pitfalls to Recommendations and Opportunities: Implementing Federated Learning in Healthcareby Ming Li,…
Summary of The Optimality Of (accelerated) Sgd For High-dimensional Quadratic Optimization, by Haihan Zhang et al.
The Optimality of (Accelerated) SGD for High-Dimensional Quadratic Optimizationby Haihan Zhang, Yuanshi Liu, Qianwen Chen,…
Summary of Rewind-to-delete: Certified Machine Unlearning For Nonconvex Functions, by Siqiao Mu et al.
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functionsby Siqiao Mu, Diego KlabjanFirst submitted to arxiv on:…
Summary of Integrating Audio Narrations to Strengthen Domain Generalization in Multimodal First-person Action Recognition, by Cagri Gungor and Adriana Kovashka
Integrating Audio Narrations to Strengthen Domain Generalization in Multimodal First-Person Action Recognitionby Cagri Gungor, Adriana…
Summary of Cosco: a Sharpness-aware Training Framework For Few-shot Multivariate Time Series Classification, by Jesus Barreda et al.
COSCO: A Sharpness-Aware Training Framework for Few-shot Multivariate Time Series Classificationby Jesus Barreda, Ashley Gomez,…
Summary of Language Models “grok” to Copy, by Ang Lv et al.
Language Models “Grok” to Copyby Ang Lv, Ruobing Xie, Xingwu Sun, Zhanhui Kang, Rui YanFirst…
Summary of Curricula For Learning Robust Policies with Factored State Representations in Changing Environments, by Panayiotis Panayiotou et al.
Curricula for Learning Robust Policies with Factored State Representations in Changing Environmentsby Panayiotis Panayiotou, Özgür…
Summary of Cross-entropy Optimization For Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networks, by Kevin Li et al.
Cross-Entropy Optimization for Hyperparameter Optimization in Stochastic Gradient-based Approaches to Train Deep Neural Networksby Kevin…
Summary of Can Kans (re)discover Predictive Models For Direct-drive Laser Fusion?, by Rahman Ejaz et al.
Can Kans (re)discover predictive models for Direct-Drive Laser Fusion?by Rahman Ejaz, Varchas Gopalaswamy, Riccardo Betti,…