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← Learning Types
Machine Learning
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Learning Types
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Adversarial Learning
4,854 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
KnowMAN: Weakly Supervised Multinomial Adversarial Networks
EMNLP 2021
Knowing False Negatives: An Adversarial Training Method for Distantly Supervised Relation Extraction
EMNLP 2021
Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion
EMNLP 2021
Wasserstein Selective Transfer Learning for Cross-domain Text Mining
EMNLP 2021
SeqAttack: On Adversarial Attacks for Named Entity Recognition
EMNLP 2021
Robustness and Adversarial Examples in Natural Language Processing
EMNLP 2021
BFClass: A Backdoor-free Text Classification Framework
EMNLP 2021
Towards Improving Adversarial Training of NLP Models
EMNLP 2021
APGN: Adversarial and Parameter Generation Networks for Multi-Source Cross-Domain Dependency Parsing
EMNLP 2021
Give the Truth: Incorporate Semantic Slot into Abstractive Dialogue Summarization
EMNLP 2021
Controlled Neural Sentence-Level Reframing of News Articles
EMNLP 2021
Adversarial Examples for Evaluating Math Word Problem Solvers
EMNLP 2021
ARCH: Efficient Adversarial Regularized Training with Caching
EMNLP 2021
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates
EMNLP 2021
Syntactically Diverse Adversarial Network for Knowledge-Grounded Conversation Generation
EMNLP 2021
Counterfactual Adversarial Learning with Representation Interpolation
EMNLP 2021
Counter-Contrastive Learning for Language GANs
EMNLP 2021
Multi-Layer Random Perturbation Training for improving Model Generalization Efficiently
EMNLP 2021
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing
EMNLP 2021
Attacks against Ranking Algorithms with Text Embeddings: A Case Study on Recruitment Algorithms
EMNLP 2021
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics
EMNLP 2021
Multilingual and Multilabel Emotion Recognition using Virtual Adversarial Training
EMNLP 2021
Can Question Generation Debias Question Answering Models? A Case Study on Question–Context Lexical Overlap
EMNLP 2021
Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation
EMNLP 2021
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization
ICCV 2021
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