| Which Minimizer Does My Neural Network Converge To?
|
2021 |
Nonnenmacher, Manuel |
| Dep-L0: Improving L0-Based Network Sparsification via Dependency Modeling
|
2021 |
Li, Yang |
| Fast Conditional Network Compression Using Bayesian HyperNetworks
|
2021 |
Nguyen, Phuoc |
| Bayesian Crowdsourcing with Constraints
|
2021 |
Traganitis, Panagiotis A. |
| Small-Vote Sample Selection for Label-Noise Learning
|
2021 |
Xu, Youze |
| lterated Matrix Reordering
|
2021 |
Vracem, Gauthier Van |
| Disentanglement and Local Directions of Variance
|
2021 |
Rakowski, Alexander |
| Learning Disentangled Representations with the Wasserstein Autoencoder
|
2021 |
Gaujac, Benoit |
| Information Interaction Profile of Choice Adoption
|
2021 |
Poux-Médard, Gaël |
| Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks
|
2021 |
Chin, Ting-Wu |
| A Variance Controlled Stochastic Method with Biased Estimation for Faster Non-convex Optimization
|
2021 |
Bi, Jia |
| Robust Regression via Model Based Methods
|
2021 |
Moharrer, Armin |
| Black-Box Optimizer with Stochastic Implicit Natural Gradient
|
2021 |
Lyu, Yueming |
| Variance Reduced Stochastic Proximal Algorithm for AUC Maximization
|
2021 |
Dan, Soham |
| Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction
|
2021 |
Yue, Yun |
| Adaptive Learning Rate and Momentum for Training Deep Neural Networks
|
2021 |
Hao, Zhiyong |
| Differentiable Feature Selection, A Reparameterization Approach
|
2021 |
Donà, Jérémie |
| Robust Selection Stability Estimation in Correlated Spaces
|
2021 |
Hamer, Victor |
| Reparameterized Sampling for Generative Adversarial Networks
|
2021 |
Wang, Yifei |
| VOGUE: Answer Verbalization Through Multi-Task Learning
|
2021 |
Kacupaj, Endri |
Tag hinzufügen