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Robustness

531 papers

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Papers

Certified Defenses for Data Poisoning Attacks NIPS 2017
Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks NIPS 2017
Consistent Robust Regression NIPS 2017
Robust Adversarial Reinforcement Learning ICML 2017
Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences NIPS 2016
Safe Policy Improvement by Minimizing Robust Baseline Regret NIPS 2016
Pull the Plug? Predicting If Computers or Humans Should Segment Images CVPR 2016
Improving the Robustness of Deep Neural Networks via Stability Training CVPR 2016
Robust Portfolio Optimization NIPS 2015
Robust Regression via Hard Thresholding NIPS 2015
Distributionally Robust Logistic Regression NIPS 2015
Discriminative Robust Transformation Learning NIPS 2015
Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images CVPR 2015
Self Scaled Regularized Robust Regression CVPR 2015
RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning NIPS 2014
Robust Classification Under Sample Selection Bias NIPS 2014
Fast and Robust Least Squares Estimation in Corrupted Linear Models NIPS 2014
Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model CVPR 2014
Grassmann Averages for Scalable Robust PCA CVPR 2014
T-Linkage: A Continuous Relaxation of J-Linkage for Multi-Model Fitting CVPR 2014
Reinforcement Learning in Robust Markov Decision Processes NIPS 2013
Online Robust PCA via Stochastic Optimization NIPS 2013
Regret based Robust Solutions for Uncertain Markov Decision Processes NIPS 2013
Least Soft-Threshold Squares Tracking CVPR 2013
A Polynomial-time Form of Robust Regression NIPS 2012