| On the Channel Pruning using Graph Convolution Network for Convolutional Neural Network Acceleration | 0 | 0.34 | 2022 |
| Sequential Intention-aware Recommender based on User Interaction Graph | 0 | 0.34 | 2022 |
| Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models. | 0 | 0.34 | 2021 |
| Agnostic Learning Of Halfspaces With Gradient Descent Via Soft Margins | 0 | 0.34 | 2021 |
| Towards Understanding the Spectral Bias of Deep Learning. | 0 | 0.34 | 2021 |
| Provable Generalization Of Sgd-Trained Neural Networks Of Any Width In The Presence Of Adversarial Label Noise | 0 | 0.34 | 2021 |
| How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks? | 0 | 0.34 | 2021 |
| Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures. | 0 | 0.34 | 2021 |
| The geometry of integration in text classification RNNs. | 0 | 0.34 | 2021 |
| Gradient descent optimizes over-parameterized deep ReLU networks | 5 | 0.46 | 2020 |
| Generalization Error Bounds Of Gradient Descent For Learning Over-Parameterized Deep Relu Networks | 0 | 0.34 | 2020 |
| A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks | 1 | 0.36 | 2020 |
| Tight Sample Complexity of Learning One-hidden-layer Convolutional Neural Networks | 0 | 0.34 | 2019 |
| Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks. | 3 | 0.37 | 2019 |
| Hierarchical Generative Modeling for Controllable Speech Synthesis. | 0 | 0.34 | 2019 |
| Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks | 1 | 0.35 | 2019 |
| On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization. | 10 | 0.53 | 2018 |
| Multiple Query-Independent Values Based Asymmetric Ranking for Approximate Nearest Neighbor Search | 0 | 0.34 | 2016 |
