| Evaluation Methods for Representation Learning: A Survey | 0 | 0.34 | 2022 |
| Pairwise Supervision Can Provably Elicit a Decision Boundary | 0 | 0.34 | 2022 |
| Predictive variational Bayesian inference as risk-seeking optimization | 0 | 0.34 | 2022 |
| Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum. | 0 | 0.34 | 2022 |
| Active Classification With Uncertainty Comparison Queries | 0 | 0.34 | 2022 |
| Loss function based second-order Jensen inequality and its application to particle variational inference. | 0 | 0.34 | 2021 |
| Diagnostic Uncertainty Calibration: Towards Reliable Machine Predictions In Medical Domain | 0 | 0.34 | 2021 |
| User interfaces for high-dimensional design problems: from theories to implementations | 0 | 0.34 | 2021 |
| Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification | 0 | 0.34 | 2021 |
| Interactive Optimization Of Generative Image Modelling Using Sequential Subspace Search And Content-Based Guidance | 0 | 0.34 | 2021 |
| γ-ABC - Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator. | 0 | 0.34 | 2021 |
| A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima | 0 | 0.34 | 2021 |
| Artificial Neural Variability For Deep Learning: On Overfitting, Noise Memorization, And Catastrophic Forgetting | 0 | 0.34 | 2021 |
| A Comparison Of Compressed Sensing And Dnn Based Reconstruction For Ghost Motion Imaging | 0 | 0.34 | 2020 |
| Development of training environment for deep learning with medical images on supercomputer system based on asynchronous parallel Bayesian optimization | 0 | 0.34 | 2020 |
| Classification from Triplet Comparison Data. | 0 | 0.34 | 2020 |
| Weak approximation of transformed stochastic gradient MCMC. | 0 | 0.34 | 2020 |
| Novel platform for development, training, and validation of computer-assisted detection/diagnosis software. | 0 | 0.34 | 2020 |
| Accelerating the diffusion-based ensemble sampling by non-reversible dynamics | 0 | 0.34 | 2020 |
| Sequential gallery for interactive visual design optimization | 1 | 0.35 | 2020 |
| Few-shot Domain Adaptation by Causal Mechanism Transfer | 0 | 0.34 | 2020 |
| Online Multiclass Classification Based on Prediction Margin for Partial Feedback. | 0 | 0.34 | 2019 |
| Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks using PAC-Bayesian Analysis. | 0 | 0.34 | 2019 |
| Classification From Pairwise Similarities/Dissimilarities And Unlabeled Data Via Empirical Risk Minimization | 1 | 0.35 | 2019 |
| Directing DNNs Attention for Facial Attribution Classification using Gradient-weighted Class Activation Mapping | 0 | 0.34 | 2019 |
| On Learning from Ghost Imaging without Imaging. | 0 | 0.34 | 2019 |
| PAC-Bayes Analysis of Sentence Representation. | 0 | 0.34 | 2019 |
| Interactive Subspace Exploration on Generative Image Modelling. | 0 | 0.34 | 2019 |
| Bayesian posterior approximation via greedy particle optimization | 0 | 0.34 | 2019 |
| On Transformations in Stochastic Gradient MCMC. | 0 | 0.34 | 2019 |
| Solving NP-Hard Problems on Graphs by Reinforcement Learning without Domain Knowledge. | 0 | 0.34 | 2019 |
| Use of Ghost Cytometry to Differentiate Cells with Similar Gross Morphologic Characteristics | 0 | 0.34 | 2019 |
| Semisupervised Ordinal Regression Based on Empirical Risk Minimization | 0 | 0.34 | 2019 |
| Multi-level Monte Carlo Variational Inference. | 0 | 0.34 | 2019 |
| Stochastic Divergence Minimization For Biterm Topic Models | 0 | 0.34 | 2018 |
| Frank-Wolfe Stein Sampling. | 0 | 0.34 | 2018 |
| Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks. | 12 | 0.50 | 2018 |
| Variational Inference For Gaussian Processes With Panel Count Data | 0 | 0.34 | 2018 |
| Convex formulation of multiple instance learning from positive and unlabeled bags. | 2 | 0.36 | 2018 |
| Clipped Matrix Completion: A Remedy for Ceiling Effects | 0 | 0.34 | 2018 |
| Bayesian Optimization Of Hpc Systems For Energy Efficiency | 2 | 0.39 | 2018 |
| Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model. | 0 | 0.34 | 2018 |
| Unsupervised Domain Adaptation Based on Source-Guided Discrepancy | 0 | 0.34 | 2018 |
| Does Distributionally Robust Supervised Learning Give Robust Classifiers? | 4 | 0.39 | 2018 |
| Managing Computer-Assisted Detection System Based on Transfer Learning with Negative Transfer Inhibition. | 0 | 0.34 | 2018 |
| On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions | 0 | 0.34 | 2018 |
| A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors. | 0 | 0.34 | 2017 |
| Risk Minimization Framework for Multiple Instance Learning from Positive and Unlabeled Bags. | 0 | 0.34 | 2017 |
| On the Model Shrinkage Effect of Gamma Process Edge Partition Models | 0 | 0.34 | 2017 |
| Expectation Propagation for t-Exponential Family Using q-Algebra | 0 | 0.34 | 2017 |
