Disentanglement and Local Directions of Variance
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2021 |
Rakowski, Alexander |
Learning Disentangled Representations with the Wasserstein Autoencoder
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2021 |
Gaujac, Benoit |
Information Interaction Profile of Choice Adoption
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2021 |
Poux-Médard, Gaël |
Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks
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2021 |
Chin, Ting-Wu |
A Variance Controlled Stochastic Method with Biased Estimation for Faster Non-convex Optimization
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2021 |
Bi, Jia |
Robust Regression via Model Based Methods
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2021 |
Moharrer, Armin |
Black-Box Optimizer with Stochastic Implicit Natural Gradient
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2021 |
Lyu, Yueming |
Variance Reduced Stochastic Proximal Algorithm for AUC Maximization
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2021 |
Dan, Soham |
Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction
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2021 |
Yue, Yun |
Adaptive Learning Rate and Momentum for Training Deep Neural Networks
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2021 |
Hao, Zhiyong |
Differentiable Feature Selection, A Reparameterization Approach
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2021 |
Donà, Jérémie |
Robust Selection Stability Estimation in Correlated Spaces
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2021 |
Hamer, Victor |
Reparameterized Sampling for Generative Adversarial Networks
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2021 |
Wang, Yifei |
VOGUE: Answer Verbalization Through Multi-Task Learning
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2021 |
Kacupaj, Endri |
NA-Aware Machine Reading Comprehension for Document-Level Relation Extraction
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2021 |
Zhang, Zhenyu |
MaxVA: Fast Adaptation of Step Sizes by Maximizing Observed Variance of Gradients
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2021 |
Zhu, Chen |
Semi-structured Document Annotation Using Entity and Relation Types
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2021 |
Kundu, Arpita |
Very Fast Streaming Submodular Function Maximization
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2021 |
Buschjäger, Sebastian |
Hyper-parameter Optimization for Latent Spaces
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2021 |
Veloso, Bruno |
Rank Aggregation for Non-stationary Data Streams
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2021 |
Irurozki, Ekhine |