conftrace_

robust learning

120 papers

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Co-occurring keywords

label noise (498) noisy label (321) adversarial learning (1595) sample complexity (1169) robust optimization (307) adversarial robustness (1341) pac learning (283) domain adaptation (4595) graph neural network (3962) deep neural network (1803)

Papers

Meta Self-Refinement for Robust Learning with Weak Supervision EACL 2023
Robust Federated Learning With Noisy and Heterogeneous Clients CVPR 2022
Robustly-reliable learners under poisoning attacks COLT 2022
On Learning Contrastive Representations for Learning With Noisy Labels CVPR 2022
Boosting Barely Robust Learners: A New Perspective on Adversarial Robustness NIPS 2022
When are Local Queries Useful for Robust Learning? NIPS 2022
Minimax Regret Optimization for Robust Machine Learning under Distribution Shift COLT 2022
Online Continual Learning on a Contaminated Data Stream With Blurry Task Boundaries CVPR 2022
A Nested Bi-level Optimization Framework for Robust Few Shot Learning AAAI 2022
Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks AISTATS 2022
Sample Complexity Bounds for Robustly Learning Decision Lists against Evasion Attacks IJCAI 2022
Private and polynomial time algorithms for learning Gaussians and beyond COLT 2022
A Discriminative and Robust Feature Learning Approach for EEG-Based Motor Imagery Decoding (Student Abstract) AAAI 2022
PNP: Robust Learning From Noisy Labels by Probabilistic Noise Prediction CVPR 2022
Overparameterization from Computational Constraints NIPS 2022
Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum ICML 2022
On Robust Multiclass Learnability NIPS 2022
Phase Transition from Clean Training to Adversarial Training NIPS 2022
Robust Density Estimation from Batches: The Best Things in Life are (Nearly) Free ICML 2021
Robust Learning for Data Poisoning Attacks ICML 2021
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks ICML 2021
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking ICCV 2021
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning AAAI 2021
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks ICML 2021
DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions CVPR 2021