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| Local Competition and Stochasticity for Adversarial Robustness in Deep Learning | Jan 4, 2021 | Adversarial AttackAdversarial Robustness | —Unverified | 0 |
| Frequency Principle in Deep Learning Beyond Gradient-descent-based Training | Jan 4, 2021 | Deep Learning | —Unverified | 0 |
| Parkinson's Disease Diagnosis Using Deep Learning | Jan 3, 2021 | Deep LearningTime Series | —Unverified | 0 |
| DTMNet: A Discrete Tchebichef Moments-Based Deep Neural Network for Multi-Focus Image Fusion | Jan 1, 2021 | Computational EfficiencyDeep Learning | —Unverified | 0 |
| Cross-Patch Graph Convolutional Network for Image Denoising | Jan 1, 2021 | Deep LearningDenoising | —Unverified | 0 |
| Geometric Deep Neural Network Using Rigid and Non-Rigid Transformations for Human Action Recognition | Jan 1, 2021 | Action RecognitionDeep Learning | —Unverified | 0 |
| TeLU: A New Activation Function for Deep Learning | Jan 1, 2021 | Deep Learning | —Unverified | 0 |
| An iterative K-FAC algorithm for Deep Learning | Jan 1, 2021 | Deep Learning | —Unverified | 0 |
| Biologically Inspired Hexagonal Deep Learning for Hexagonal Image Generation | Jan 1, 2021 | Deep LearningImage Generation | —Unverified | 0 |
| Connection- and Node-Sparse Deep Learning: Statistical Guarantees | Jan 1, 2021 | Deep LearningPrediction | —Unverified | 0 |
| On the Marginal Regret Bound Minimization of Adaptive Methods | Jan 1, 2021 | Deep LearningOpen-Ended Question Answering | —Unverified | 0 |
| Deep Learning Solution of the Eigenvalue Problem for Differential Operators | Jan 1, 2021 | Deep Learning | —Unverified | 0 |
| On Batch-size Selection for Stochastic Training for Graph Neural Networks | Jan 1, 2021 | Deep Learning | —Unverified | 0 |
| Self-supervised Bayesian Deep Learning for Image Denoising | Jan 1, 2021 | Deep LearningDenoising | —Unverified | 0 |
| An Unsupervised Deep Learning Approach for Real-World Image Denoising | Jan 1, 2021 | DecoderDeep Learning | CodeCode Available | 1 |
| A Simple Sparse Denoising Layer for Robust Deep Learning | Jan 1, 2021 | Deep LearningDenoising | —Unverified | 0 |
| Model information as an analysis tool in deep learning | Jan 1, 2021 | Deep Learning | —Unverified | 0 |
| A New Variant of Stochastic Heavy ball Optimization Method for Deep Learning | Jan 1, 2021 | Deep Learning | —Unverified | 0 |
| Towards Practical Second Order Optimization for Deep Learning | Jan 1, 2021 | Click-Through Rate PredictionCPU | —Unverified | 0 |
| Descending through a Crowded Valley — Benchmarking Deep Learning Optimizers | Jan 1, 2021 | BenchmarkingDeep Learning | CodeCode Available | 1 |
| Physics-Informed Deep Learning of Incompressible Fluid Dynamics | Jan 1, 2021 | Deep Learning | —Unverified | 0 |
| Adaptive Optimizers with Sparse Group Lasso | Jan 1, 2021 | Deep Learning | —Unverified | 0 |
| AutoCleansing: Unbiased Estimation of Deep Learning with Mislabeled Data | Jan 1, 2021 | Deep Learning | —Unverified | 0 |
| A Simple and Effective Baseline for Out-of-Distribution Detection using Abstention | Jan 1, 2021 | Deep LearningOut-of-Distribution Detection | —Unverified | 0 |