% Key papers for GANs for text generation (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{aaai2018_long_105897, title = {{Long Text Generation via Adversarial Training with Leaked Information}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/11957}, } @inproceedings{iclr2018_maskgan_28464, title = {{MaskGAN: Better Text Generation via Filling in the \_\_\_\_\_\_\_}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2018}, url = {https://iclr.cc/virtual/2018/poster/10}, } @inproceedings{icml2017_adversarial_36055, title = {{Adversarial Feature Matching for Text Generation}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2017}, url = {https://icml.cc/virtual/2017/poster/773}, } @inproceedings{iclr2019_relgan_29148, title = {{RelGAN: Relational Generative Adversarial Networks for Text Generation}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2019}, url = {https://iclr.cc/virtual/2019/poster/966}, } @inproceedings{iclr2020_language_29301, title = {{Language GANs Falling Short}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=BJgza6VtPB}, } @inproceedings{aaai2019_improving_103427, title = {{Improving Image Captioning with Conditional Generative Adversarial Nets}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2019}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/4823}, } @inproceedings{aaai2020_catgan_103051, title = {{CatGAN: Category-Aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6361}, } @inproceedings{neurips2018_adversarial_56850, title = {{Adversarial Text Generation via Feature-Mover's Distance}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2018}, url = {https://nips.cc/virtual/2018/poster/11459}, } @inproceedings{aaai2021_strokegan_1433, title = {{StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/03270-strokegan-reducing-mode-collapse-in-chinese-font-generation-via-stroke-encoding/}, } @inproceedings{aaai2018_show_104059, title = {{Show, Reward and Tell: Automatic Generation of Narrative Paragraph From Photo Stream by Adversarial Training}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2018}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/12318}, } @inproceedings{aaai2020_a_100773, title = {{A Character-Centric Neural Model for Automated Story Generation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/5536}, } @inproceedings{aaai2021_textgail_1487, title = {{TextGAIL: Generative Adversarial Imitation Learning for Text Generation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/14067-textgail-generative-adversarial-imitation-learning-for-text-generation/}, } @inproceedings{aaai2020_posterior_102963, title = {{Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6273}, } @inproceedings{neurips2019_training_59112, title = {{Training Language GANs from Scratch}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2019}, url = {https://nips.cc/virtual/2019/poster/13586}, } @inproceedings{aaai2020_multi_103086, title = {{Multi-Task Learning with Generative Adversarial Training for Multi-Passage Machine Reading Comprehension}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6396}, } @inproceedings{aaai2020_meta_103180, title = {{Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2020}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/6490}, } @inproceedings{iclr2020_self_29257, title = {{Self-Adversarial Learning with Comparative Discrimination for Text Generation}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2020}, url = {https://openreview.net/forum?id=B1l8L6EtDS}, } @inproceedings{icml2022_generative_40625, title = {{Generative Cooperative Networks for Natural Language Generation}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2022}, url = {https://icml.cc/virtual/2022/poster/18131}, } @inproceedings{iclr2022_pretraining_31751, title = {{Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2022}, url = {https://iclr.cc/virtual/2022/poster/6049}, } @inproceedings{neurips2017_adversarial_56146, title = {{Adversarial Ranking for Language Generation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2017}, url = {https://nips.cc/virtual/2017/poster/9100}, }