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Weakly Supervised Learning

3,895 papers

Papers per year

Papers

PIAP-DF: Pixel-Interested and Anti Person-Specific Facial Action Unit Detection Net With Discrete Feedback Learning ICCV 2021
Grafit: Learning Fine-Grained Image Representations With Coarse Labels ICCV 2021
Weakly Supervised Text-Based Person Re-Identification ICCV 2021
Weakly Supervised Person Search With Region Siamese Networks ICCV 2021
Weakly-Supervised Video Anomaly Detection With Robust Temporal Feature Magnitude Learning ICCV 2021
Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images ICCV 2021
D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations ICCV 2021
Weak Adaptation Learning: Addressing Cross-Domain Data Insufficiency With Weak Annotator ICCV 2021
Scribble-Supervised Semantic Segmentation Inference ICCV 2021
Procrustean Training for Imbalanced Deep Learning ICCV 2021
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization ICCV 2021
Confidence Scores Make Instance-dependent Label-noise Learning Possible ICML 2021
Offline Contextual Bandits with Overparameterized Models ICML 2021
Disambiguation of Weak Supervision leading to Exponential Convergence rates ICML 2021
Learning from Similarity-Confidence Data ICML 2021
Classification with Rejection Based on Cost-sensitive Classification ICML 2021
Putting the “Learning" into Learning-Augmented Algorithms for Frequency Estimation ICML 2021
Pointwise Binary Classification with Pairwise Confidence Comparisons ICML 2021
Learning disentangled representations via product manifold projection ICML 2021
Discriminative Complementary-Label Learning with Weighted Loss ICML 2021
SPECTRE: defending against backdoor attacks using robust statistics ICML 2021
Hyperparameter Selection for Imitation Learning ICML 2021
Learning Randomly Perturbed Structured Predictors for Direct Loss Minimization ICML 2021
Multi-Dimensional Classification via Sparse Label Encoding ICML 2021
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations ICML 2021