Learning from Better Supervision: Self-distillation for Learning with Noisy Labels

S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks

Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation

Evaluating Weakly Supervised Object Localization Methods Right

PsyNet: Self-supervised Object Localization using Point Symmetric Transformation

Diversity Regularized Autoencoders for Text Generation

Collaborative Distillation for Top-N Recommendation

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

Attention-based Dropout Layer for Weakly Supervised Object Localization

An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods