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robust classification

89 papers

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Co-occurring keywords

adversarial training (1261) adversarial robustness (1335) label noise (496) adversarial attack (1599) adversarial example (563) adversarial learning (1592) image classification (1943) sample complexity (1158) robust learning (120) deep neural network (1801)

Papers

Peer Loss Functions: Learning from Noisy Labels without Knowing Noise Rates ICML 2020
Identifying Spurious Correlations for Robust Text Classification EMNLP 2020
Robustness for Non-Parametric Classification: A Generic Attack and Defense AISTATS 2020
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks ICML 2020
Safe Sample Screening for Robust Support Vector Machine AAAI 2020
Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion CVPR 2020
Fairness for Robust Log Loss Classification AAAI 2020
Deep Generative Model for Robust Imbalance Classification CVPR 2020
A Bi-level Formulation for Label Noise Learning with Spectral Cluster Discovery IJCAI 2020
Robust Bayesian Classification Using An Optimistic Score Ratio ICML 2020
Probably Approximately Correct Constrained Learning NIPS 2020
Leakage-Robust Classifier via Mask-Enhanced Training (Student Abstract) AAAI 2020
Proper Network Interpretability Helps Adversarial Robustness in Classification ICML 2020
Efficiently Learning Adversarially Robust Halfspaces with Noise ICML 2020
Adversarially Robust Learning Could Leverage Computational Hardness. ALT 2020
The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure AAAI 2019
On the Hardness of Robust Classification NIPS 2019
Computational Limitations in Robust Classification and Win-Win Results COLT 2019
Are Labels Required for Improving Adversarial Robustness? NIPS 2019
LexicalAT: Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification EMNLP 2019
Combating Label Noise in Deep Learning using Abstention ICML 2019
Adversarial Examples Are Not Bugs, They Are Features NIPS 2019
On Robustness to Adversarial Examples and Polynomial Optimization NIPS 2019
Adversarial Training and Robustness for Multiple Perturbations NIPS 2019
Adversarially Robust Generalization Requires More Data NIPS 2018