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Methodology
← Learning Types
Machine Learning
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Learning Types
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Adversarial Learning
4854 directly classified papers
Papers per year
2006: 3
2007: 1
2009: 4
2010: 6
2011: 3
2012: 5
2013: 10
2014: 6
2015: 8
2016: 18
2017: 87
2018: 261
2019: 551
2020: 588
2021: 703
2022: 633
2023: 672
2024: 579
2025: 561
2026: 155
Papers
Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge
NIPS 2019
Deep Adversarial Multi-view Clustering Network
IJCAI 2019
Single-Channel Signal Separation and Deconvolution with Generative Adversarial Networks
IJCAI 2019
Posing Fair Generalization Tasks for Natural Language Inference
EMNLP 2019
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation
EMNLP 2019
ARAML: A Stable Adversarial Training Framework for Text Generation
EMNLP 2019
Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control
EMNLP 2019
Pun-GAN: Generative Adversarial Network for Pun Generation
EMNLP 2019
DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning
EMNLP 2019
The FEVER2.0 Shared Task
EMNLP 2019
Open Event Extraction from Online Text using a Generative Adversarial Network
EMNLP 2019
Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach
CVPR 2019
Balanced Self-Paced Learning for Generative Adversarial Clustering Network
CVPR 2019
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model
CVPR 2019
Robustness via Curvature Regularization, and Vice Versa
CVPR 2019
AIRD: Adversarial Learning Framework for Image Repurposing Detection
CVPR 2019
Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images
CVPR 2019
On Stabilizing Generative Adversarial Training With Noise
CVPR 2019
Improving Black-box Adversarial Attacks with a Transfer-based Prior
NIPS 2019
On Relating Explanations and Adversarial Examples
NIPS 2019
Multi-marginal Wasserstein GAN
NIPS 2019
Adversarial Examples Are Not Bugs, They Are Features
NIPS 2019
Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning
CVPR 2019
Domain-agnostic Question-Answering with Adversarial Training
EMNLP 2019
Adversarial Reprogramming of Text Classification Neural Networks
EMNLP 2019
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