adversarial training

CONAN: Complementary Pattern Augmentation for Rare Disease Detection AAAI 2020 Concise Explanations of Neural Networks using Adversarial Training ICML 2020 Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks ICML 2020 ConjNLI: Natural Language Inference Over Conjunctive Sentences EMNLP 2020 Contrastive Learning with Adversarial Examples NeurIPS 2020 Contrastive Predictive Coding of Audio with an Adversary Interspeech 2020 CORE: Automatic Molecule Optimization Using Copy & Refine Strategy AAAI 2020 Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation ACL 2020 Cross-lingual Spoken Language Understanding with Regularized Representation Alignment EMNLP 2020 DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training ICML 2020 Defending Against Physically Realizable Attacks on Image Classification ICLR 2020 Demoting Racial Bias in Hate Speech Detection ACL 2020 Distortion Agnostic Deep Watermarking CVPR 2020 Don’t take “nswvtnvakgxpm” for an answer –The surprising vulnerability of automatic content scoring systems to adversarial input COLING 2020 Dual-Adversarial Domain Adaptation for Generalized Replay Attack Detection Interspeech 2020 Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks NeurIPS 2020 DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles NeurIPS 2020 Effective Unsupervised Domain Adaptation with Adversarially Trained Language Models EMNLP 2020 Efficient Adversarial Training With Transferable Adversarial Examples CVPR 2020 Elaborating on Learned Demonstrations with Temporal Logic Specifications RSS 2020 Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design NeurIPS 2020 Emu: Enhancing Multilingual Sentence Embeddings with Semantic Specialization AAAI 2020 End-to-End Domain-Adversarial Voice Activity Detection Interspeech 2020 End-to-End Speech Translation with Adversarial Training ACL 2020 Enhance Robustness of Sequence Labelling with Masked Adversarial Training EMNLP 2020