Co-occurring keywords · papers mentioning both
Papers
Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models
ICML 2025
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks
ICLR 2024
Freeze then Train: Towards Provable Representation Learning under Spurious Correlations and Feature Noise
AISTATS 2023
Noisy adversarial representation learning for effective and efficient image obfuscation
UAI 2023
Feature Noise Induces Loss Discrepancy Across Groups
ICML 2020
Partial Multi-Label Learning via Multi-Subspace Representation
IJCAI 2020
Rank Aggregation and Prediction with Item Features
AISTATS 2017
Matrix Completion with Noisy Side Information
NeurIPS 2015
Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis
NeurIPS 2015
An Analysis of Active Learning with Uniform Feature Noise
AISTATS 2014
Co-Training with Insufficient Views
ACML 2013