Summary of Harder Tasks Need More Experts: Dynamic Routing in Moe Models, by Quzhe Huang et al.
Harder Tasks Need More Experts: Dynamic Routing in MoE Modelsby Quzhe Huang, Zhenwei An, Nan…
Summary of Machine Learning For Soccer Match Result Prediction, by Rory Bunker et al.
Machine Learning for Soccer Match Result Predictionby Rory Bunker, Calvin Yeung, Keisuke FujiiFirst submitted to…
Summary of Reinforced Sequential Decision-making For Sepsis Treatment: the Posnegdm Framework with Mortality Classifier and Transformer, by Dipesh Tamboli and Jiayu Chen and Kiran Pranesh Jotheeswaran and Denny Yu and Vaneet Aggarwal
Reinforced Sequential Decision-Making for Sepsis Treatment: The POSNEGDM Framework with Mortality Classifier and Transformerby Dipesh…
Summary of Challenging Forgets: Unveiling the Worst-case Forget Sets in Machine Unlearning, by Chongyu Fan et al.
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearningby Chongyu Fan, Jiancheng Liu, Alfred…
Summary of Auxiliary Classifiers Improve Stability and Efficiency in Continual Learning, by Filip Szatkowski et al.
Auxiliary Classifiers Improve Stability and Efficiency in Continual Learningby Filip Szatkowski, Fei Yang, Bartłomiej Twardowski,…
Summary of Learning-augmented Algorithms with Explicit Predictors, by Marek Elias and Haim Kaplan and Yishay Mansour and Shay Moran
Learning-Augmented Algorithms with Explicit Predictorsby Marek Elias, Haim Kaplan, Yishay Mansour, Shay MoranFirst submitted to…
Summary of Experimental Comparison Of Ensemble Methods and Time-to-event Analysis Models Through Integrated Brier Score and Concordance Index, by Camila Fernandez (lpsm) et al.
Experimental Comparison of Ensemble Methods and Time-to-Event Analysis Models Through Integrated Brier Score and Concordance…
Summary of Don’t Forget What I Did?: Assessing Client Contributions in Federated Learning, by Bishwamittra Ghosh et al.
Don’t Forget What I did?: Assessing Client Contributions in Federated Learningby Bishwamittra Ghosh, Debabrota Basu,…
Summary of Near-interpolators: Rapid Norm Growth and the Trade-off Between Interpolation and Generalization, by Yutong Wang et al.
Near-Interpolators: Rapid Norm Growth and the Trade-Off between Interpolation and Generalizationby Yutong Wang, Rishi Sonthalia,…
Summary of Autoeval Done Right: Using Synthetic Data For Model Evaluation, by Pierre Boyeau et al.
AutoEval Done Right: Using Synthetic Data for Model Evaluationby Pierre Boyeau, Anastasios N. Angelopoulos, Nir…