Summary of Is Machine Learning Good or Bad For the Natural Sciences?, by David W. Hogg (nyu et al.
Is machine learning good or bad for the natural sciences?by David W. Hogg, Soledad VillarFirst…
Summary of 4-bit Shampoo For Memory-efficient Network Training, by Sike Wang et al.
4-bit Shampoo for Memory-Efficient Network Trainingby Sike Wang, Pan Zhou, Jia Li, Hua HuangFirst submitted…
Summary of Semf: Supervised Expectation-maximization Framework For Predicting Intervals, by Ilia Azizi et al.
SEMF: Supervised Expectation-Maximization Framework for Predicting Intervalsby Ilia Azizi, Marc-Olivier Boldi, Valérie Chavez-DemoulinFirst submitted to…
Summary of Delving Into Differentially Private Transformer, by Youlong Ding et al.
Delving into Differentially Private Transformerby Youlong Ding, Xueyang Wu, Yining Meng, Yonggang Luo, Hao Wang,…
Summary of Cost-sensitive Multi-fidelity Bayesian Optimization with Transfer Of Learning Curve Extrapolation, by Dong Bok Lee et al.
Cost-Sensitive Multi-Fidelity Bayesian Optimization with Transfer of Learning Curve Extrapolationby Dong Bok Lee, Aoxuan Silvia…
Summary of Bridging Mini-batch and Asymptotic Analysis in Contrastive Learning: From Infonce to Kernel-based Losses, by Panagiotis Koromilas et al.
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Lossesby Panagiotis Koromilas,…
Summary of An Information Theoretic Evaluation Metric For Strong Unlearning, by Dongjae Jeon et al.
An Information Theoretic Evaluation Metric For Strong Unlearningby Dongjae Jeon, Wonje Jeung, Taeheon Kim, Albert…
Summary of Towards Efficient Disaster Response Via Cost-effective Unbiased Class Rate Estimation Through Neyman Allocation Stratified Sampling Active Learning, by Yanbing Bai et al.
Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling…
Summary of Post-fair Federated Learning: Achieving Group and Community Fairness in Federated Learning Via Post-processing, by Yuying Duan et al.
Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processingby Yuying Duan,…
Summary of Probabilistically Plausible Counterfactual Explanations with Normalizing Flows, by Patryk Wielopolski et al.
Probabilistically Plausible Counterfactual Explanations with Normalizing Flowsby Patryk Wielopolski, Oleksii Furman, Jerzy Stefanowski, Maciej ZiębaFirst…