Summary of Recall: Membership Inference Via Relative Conditional Log-likelihoods, by Roy Xie et al.
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoodsby Roy Xie, Junlin Wang, Ruomin Huang, Minxing Zhang,…
Summary of Measuring Sample Importance in Data Pruning For Language Models Based on Information Entropy, by Minsang Kim et al.
Measuring Sample Importance in Data Pruning for Language Models based on Information Entropyby Minsang Kim,…
Summary of An Evidential Time-to-event Prediction Model Based on Gaussian Random Fuzzy Numbers, by Ling Huang et al.
An evidential time-to-event prediction model based on Gaussian random fuzzy numbersby Ling Huang, Yucheng Xing,…
Summary of Flexible Heteroscedastic Count Regression with Deep Double Poisson Networks, by Spencer Young et al.
Flexible Heteroscedastic Count Regression with Deep Double Poisson Networksby Spencer Young, Porter Jenkins, Lonchao Da,…
Summary of Reassessing How to Compare and Improve the Calibration Of Machine Learning Models, by Muthu Chidambaram and Rong Ge
Reassessing How to Compare and Improve the Calibration of Machine Learning Modelsby Muthu Chidambaram, Rong…
Summary of Improving Discrete Diffusion Models Via Structured Preferential Generation, by Severi Rissanen et al.
Improving Discrete Diffusion Models via Structured Preferential Generationby Severi Rissanen, Markus Heinonen, Arno SolinFirst submitted…
Summary of Counterfactual Gradients-based Quantification Of Prediction Trust in Neural Networks, by Mohit Prabhushankar and Ghassan Alregib
Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networksby Mohit Prabhushankar, Ghassan AlRegibFirst submitted to…
Summary of General Bounds on the Quality Of Bayesian Coresets, by Trevor Campbell
General bounds on the quality of Bayesian coresetsby Trevor CampbellFirst submitted to arxiv on: 20…
Summary of Uncertainty Quantification Metrics For Deep Regression, by Simon Kristoffersson Lind et al.
Uncertainty Quantification Metrics for Deep Regressionby Simon Kristoffersson Lind, Ziliang Xiong, Per-Erik Forssén, Volker KrügerFirst…
Summary of Deep Neural Networks For Choice Analysis: Enhancing Behavioral Regularity with Gradient Regularization, by Siqi Feng et al.
Deep neural networks for choice analysis: Enhancing behavioral regularity with gradient regularizationby Siqi Feng, Rui…