{"total":12,"rows":[{"id":"2109.15144","title":"A Review of Text Style Transfer using Deep Learning","created":"2021-09-30","cited_by_count":18,"area":null},{"id":"2203.03047","title":"Recent Advances in Neural Text Generation: A Task-Agnostic Survey","created":"2022-03-06","cited_by_count":14,"area":null},{"id":"2208.03063","title":"Enhancing the Robustness via Adversarial Learning and Joint Spatial-Temporal Embeddings in Traffic Forecasting","created":"2022-08-05","cited_by_count":11,"area":null},{"id":"2108.10764","title":"Regularizing Transformers With Deep Probabilistic Layers","created":"2021-08-23","cited_by_count":4,"area":null},{"id":"2101.08675","title":"Adversarial Machine Learning in Text Analysis and Generation","created":"2021-01-14","cited_by_count":2,"area":null},{"id":"2107.12230","title":"Belief Propagation as Diffusion","created":"2021-07-26","cited_by_count":2,"area":null},{"id":"2302.07998","title":"cGAN-Based High Dimensional IMU Sensor Data Generation for Enhanced Human Activity Recognition in Therapeutic Activities","created":"2023-02-16","cited_by_count":2,"area":null},{"id":"2111.05508","title":"Training Generative Adversarial Networks with Adaptive Composite Gradient","created":"2021-11-10","cited_by_count":1,"area":null},{"id":"2112.07041","title":"Survey of Generative Methods for Social Media Analysis","created":"2021-12-13","cited_by_count":1,"area":null},{"id":"2307.08016","title":"Breaking Down the Task: A Unit-Grained Hybrid Training Framework for Vision and Language Decision Making","created":"2023-07-16","cited_by_count":0,"area":null},{"id":"2307.11785","title":"Adversarial Conversational Shaping for Intelligent Agents","created":"2023-07-20","cited_by_count":0,"area":null},{"id":"2502.12207","title":"PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN","created":"2025-02-16","cited_by_count":0,"area":null}],"next_cursor":null}