Summary of Querying Easily Flip-flopped Samples For Deep Active Learning, by Seong Jin Cho et al.
Querying Easily Flip-flopped Samples for Deep Active Learningby Seong Jin Cho, Gwangsu Kim, Junghyun Lee,…
Querying Easily Flip-flopped Samples for Deep Active Learningby Seong Jin Cho, Gwangsu Kim, Junghyun Lee,…
Fixed-Budget Differentially Private Best Arm Identificationby Zhirui Chen, P. N. Karthik, Yeow Meng Chee, Vincent…
Bayes Conditional Distribution Estimation for Knowledge Distillation Based on Conditional Mutual Informationby Linfeng Ye, Shayan…
Feature Selection via Maximizing Distances between Class Conditional Distributionsby Chunxu Cao, Qiang ZhangFirst submitted to…
Accelerated Sampling of Rare Events using a Neural Network Bias Potentialby Xinru Hua, Rasool Ahmad,…
Model-Free Approximate Bayesian Learning for Large-Scale Conversion Funnel Optimizationby Garud Iyengar, Raghav SingalFirst submitted to…
A Stochastic Approach to Classification Error Estimates in Convolutional Neural Networksby Jan Peleska, Felix BrĂ¼ning,…
An attempt to generate new bridge types from latent space of PixelCNNby Hongjun ZhangFirst submitted…
Theoretical and Empirical Advances in Forest Pruningby Albert DoradorFirst submitted to arxiv on: 10 Jan…
Reliability Analysis of Complex Systems using Subset Simulations with Hamiltonian Neural Networksby Denny Thaler, Somayajulu…