| Learning To Recommend From Sparse Data Via Generative User Feedback | 0 | 0.34 | 2021 |
| Zero-Shot Recognition Via Optimal Transport | 0 | 0.34 | 2021 |
| Improving Text Generation with Student-Forcing Optimal Transport. | 0 | 0.34 | 2020 |
| An End-to-End Generative Architecture for Paraphrase Generation | 0 | 0.34 | 2019 |
| Ouroboros: On Accelerating Training of Transformer-Based Language Models | 0 | 0.34 | 2019 |
| On Norm-Agnostic Robustness of Adversarial Training. | 0 | 0.34 | 2019 |
| A convergence analysis for a class of practical variance-reduction stochastic gradient MCMC | 1 | 0.37 | 2019 |
| Certified Adversarial Robustness with Additive Noise | 0 | 0.34 | 2019 |
| Joint Embedding of Words and Labels for Text Classification. | 0 | 0.34 | 2018 |
| Sequence Generation with Guider Network. | 2 | 0.35 | 2018 |
| Second-Order Adversarial Attack and Certifiable Robustness. | 1 | 0.34 | 2018 |
| Distilled Wasserstein Learning for Word Embedding and Topic Modeling. | 6 | 0.38 | 2018 |
| A Unified Particle-Optimization Framework For Scalable Bayesian Sampling | 5 | 0.41 | 2018 |
| Joint Embedding Of Words And Labels For Text Classification | 7 | 0.41 | 2018 |
| Zero-Shot Learning via Class-Conditioned Deep Generative Models | 16 | 0.55 | 2018 |
| Baseline Needs More Love: On Simple Word-Embedding-Based Models And Associated Pooling Mechanisms | 9 | 0.45 | 2018 |
| InverseNet: Solving Inverse Problems with Splitting Networks. | 1 | 0.37 | 2017 |
| Earliness-Aware Deep Convolutional Networks for Early Time Series Classification. | 1 | 0.35 | 2016 |
| Deep Metric Learning with Data Summarization. | 2 | 0.37 | 2016 |
