| Baseline needs more love: On simple word-embedding-based models and associated pooling mechanisms D Shen, G Wang, W Wang, MR Min, Q Su, Y Zhang, C Li, R Henao, ... ACL-18, 2018 | 302 | 2018 |
| Joint Embedding of Words and Labels for Text Classification G Wang, C Li, W Wang, Y Zhang, D Shen, X Zhang, R Henao, L Carin ACL-18, 2018 | 288 | 2018 |
| Certified Adversarial Robustness with Additive Noise B Li, C Chen, W Wang, L Carin NeurIPS-19, 9459-9469, 2019 | 166 | 2019 |
| Zero-Shot Learning via Class-Conditioned Deep Generative Models W Wang, Y Pu, VK Verma, K Fan, Y Zhang, C Chen, P Rai, L Carin AAAI-18, 2018 | 135 | 2018 |
| Wide Compression: Tensor Ring Nets W Wang, Y Sun, B Eriksson, W Wang, V Aggarwal CVPR-18, 2018 | 94 | 2018 |
| Topic-Guided Variational Autoencoders for Text Generation W Wang, Z Gan, H Xu, R Zhang, G Wang, D Shen, C Chen, L Carin NAACL-19, 2019 | 88 | 2019 |
| Second-order adversarial attack and certifiable robustness B Li, C Chen, W Wang, L Carin ICML-19, Workshop on Real-world Sequential Decision Making, 2018 | 81 | 2018 |
| Topic Compositional Neural Language Model W Wang, Z Gan, W Wang, D Shen, J Huang, W Ping, S Satheesh, L Carin AISTATS-18, 2018 | 73 | 2018 |
| Distilled Wasserstein Learning for Word Embedding and Topic Modeling H Xu, W Wang, W Liu, L Carin NeurIPS-18, 2018 | 59 | 2018 |
| A Unified Particle-Optimization Framework for Scalable Bayesian Sampling C Chen, R Zhang, W Wang, B Li, L Chen UAI-18, 2018 | 54 | 2018 |
| Continuous-Time Flows for Efficient Inference and Density Estimation C Chen, C Li, L Chen, W Wang, Y Pu, LC Duke ICML-18, 2018 | 50* | 2018 |
| NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing D Shen, Q Su, P Chapfuwa, W Wang, G Wang, L Carin, R Henao ACL-18, 2018 | 48 | 2018 |
| An End-to-End Generative Architecture for Paraphrase Generation Q Yang, Z Huo, D Shen, Y Cheng, W Wang, G Wang, L Carin EMNLP-19, 2019 | 32 | 2019 |
| Earliness-aware deep convolutional networks for early time series classification W Wang, C Chen, W Wang, P Rai, L Carin arXiv preprint arXiv:1611.04578, 2016 | 25 | 2016 |
| A convergence analysis for a class of practical variance-reduction stochastic gradient mcmc C Chen, W Wang, Y Zhang, Q Su, L Carin SCIENCE CHINA Information Sciences (SCIS-19)., 2017 | 22 | 2017 |
| Deep Metric Learning with Data Summarization W Wang, C Chen, W Chen, P Rai, L Carin ECML-16, 2016 | 17 | 2016 |
| Graph-Driven Generative Models for Heterogeneous Multi-Task Learning W Wang, H Xu, Z Gan, B Li, G Wang, L Chen, Q Yang, W Wang, L Carin AAAI-20, 2019 | 15 | 2019 |
| Improving Textual Network Embedding with Global Attention via Optimal Transport L Chen, G Wang, C Tao, D Shen, P Cheng, X Zhang, W Wang, Y Zhang, ... ACL-19, 2019 | 15 | 2019 |
| Improving Adversarial Text Generation by Modeling the Distant Future R Zhang, C Chen, Z Gan, W Wang, D Shen, G Wang, Z Wen, L Carin ACL-20, 2020 | 10 | 2020 |
| Improving Textual Network Learning with Variational Homophilic Embeddings W Wang, C Tao, Z Gan, G Wang, L Chen, X Zhang, R Zhang, Q Yang, ... NeurIPS-19, 2019 | 10 | 2019 |
Lawrence CarinProvost, King Abdullah University of Science & Technology (KAUST)Потвърден имейл адрес: kaust.edu.sa
