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Robustness

529 directly classified papers

Papers per year

Papers

Exploring Generalization in Deep Learning NIPS 2017
Consistent Robust Regression NIPS 2017
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
Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences NIPS 2016
Safe Policy Improvement by Minimizing Robust Baseline Regret NIPS 2016
Robust Portfolio Optimization NIPS 2015
Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images CVPR 2015
Self Scaled Regularized Robust Regression CVPR 2015
Robust Regression via Hard Thresholding NIPS 2015
Distributionally Robust Logistic Regression NIPS 2015
Discriminative Robust Transformation Learning NIPS 2015
Robust Classification Under Sample Selection Bias NIPS 2014
Grassmann Averages for Scalable Robust PCA CVPR 2014
Occlusion Coherence: Localizing Occluded Faces with a Hierarchical Deformable Part Model CVPR 2014
T-Linkage: A Continuous Relaxation of J-Linkage for Multi-Model Fitting CVPR 2014
RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning NIPS 2014
Fast and Robust Least Squares Estimation in Corrupted Linear Models NIPS 2014
Regret based Robust Solutions for Uncertain Markov Decision Processes NIPS 2013
Online Robust PCA via Stochastic Optimization NIPS 2013
Reinforcement Learning in Robust Markov Decision Processes NIPS 2013
Least Soft-Threshold Squares Tracking CVPR 2013
Robustness and risk-sensitivity in Markov decision processes NIPS 2012
Tractable Objectives for Robust Policy Optimization NIPS 2012
A Polynomial-time Form of Robust Regression NIPS 2012