Skip to content
conftrace_

adversarial training

1,416 papers

AT

Papers

Low-Resource Response Generation with Template Prior EMNLP 2019 MarginGAN: Adversarial Training in Semi-Supervised Learning NeurIPS 2019 Monge blunts Bayes: Hardness Results for Adversarial Training ICML 2019 Moulding Humans: Non-Parametric 3D Human Shape Estimation From Single Images ICCV 2019 MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension EMNLP 2019 Multivariate-Information Adversarial Ensemble for Scalable Joint Distribution Matching ICML 2019 Musical Composition Style Transfer via Disentangled Timbre Representations IJCAI 2019 NAOMI: Non-Autoregressive Multiresolution Sequence Imputation NeurIPS 2019 Neural Duplicate Question Detection without Labeled Training Data EMNLP 2019 Object-Driven Text-To-Image Synthesis via Adversarial Training CVPR 2019 On Committee Representations of Adversarial Learning Models for Question-Answer Ranking ACL 2019 On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models NAACL 2019 On-Line Adaptative Curriculum Learning for GANs AAAI 2019 On Stabilizing Generative Adversarial Training With Noise CVPR 2019 On the Convergence and Robustness of Adversarial Training ICML 2019 On the Effectiveness of Low Frequency Perturbations IJCAI 2019 On the Sensitivity of Adversarial Robustness to Input Data Distributions ICLR 2019 On the Usage of Phonetic Information for Text-Independent Speaker Embedding Extraction Interspeech 2019 Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack CVPR 2019 Partially Encrypted Deep Learning using Functional Encryption NeurIPS 2019 PAWS: Paraphrase Adversaries from Word Scrambling NAACL 2019 PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation NeurIPS 2019 Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers NeurIPS 2019 Quantum Wasserstein Generative Adversarial Networks NeurIPS 2019 Reinforced Negative Sampling for Recommendation with Exposure Data IJCAI 2019