conftrace_

adversarial training

1262 papers

Explore in graph

Also known as

AT

Co-occurring keywords

adversarial robustness (1341) adversarial learning (1595) domain adaptation (4595) adversarial attack (1621) neural network (6616) text classification (6793) model robustness (480) adversarial example (564) data augmentation (3052) generative adversarial network (1944)

Papers

End-to-End Domain-Adversarial Voice Activity Detection INTERSPEECH 2020
Kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification COLING 2020
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples COLING 2020
Robustness to Programmable String Transformations via Augmented Abstract Training ICML 2020
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations ICML 2020
Understanding and Mitigating the Tradeoff between Robustness and Accuracy ICML 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning CVPR 2020
Adversarial Robustness Against the Union of Multiple Perturbation Models ICML 2020
Toward a Universal Model for Shape From Texture CVPR 2020
Guided Variational Autoencoder for Disentanglement Learning CVPR 2020
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training ICML 2020
Towards Understanding the Dynamics of the First-Order Adversaries ICML 2020
Adversarially-learned Inference via an Ensemble of Discrete Undirected Graphical Models NIPS 2020
Adversarial Training is a Form of Data-dependent Operator Norm Regularization NIPS 2020
Learning from Failure: De-biasing Classifier from Biased Classifier NIPS 2020
Concise Explanations of Neural Networks using Adversarial Training ICML 2020
Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks NIPS 2020
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles NIPS 2020
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses NIPS 2020
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free NIPS 2020
Robust Pre-Training by Adversarial Contrastive Learning NIPS 2020
Robust Federated Learning: The Case of Affine Distribution Shifts NIPS 2020
Adversarial Sparse Transformer for Time Series Forecasting NIPS 2020
Large-Scale Adversarial Training for Vision-and-Language Representation Learning NIPS 2020
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation AAAI 2020