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Weakly Supervised Learning

3,895 papers

Papers per year

Papers

De-Biasing Neural Networks With Estimated Offset for Class Imbalanced Learning WACV 2021
Reducing the Annotation Effort for Video Object Segmentation Datasets WACV 2021
Where to Look?: Mining Complementary Image Regions for Weakly Supervised Object Localization WACV 2021
RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization WACV 2021
CAT-Net: Compression Artifact Tracing Network for Detection and Localization of Image Splicing WACV 2021
Asymmetric Contextual Modulation for Infrared Small Target Detection WACV 2021
Red Carpet to Fight Club: Partially-Supervised Domain Transfer for Face Recognition in Violent Videos WACV 2021
A Weakly Supervised Consistency-Based Learning Method for COVID-19 Segmentation in CT Images WACV 2021
Detecting Human-Object Interaction With Mixed Supervision WACV 2021
Weakly-Supervised Object Representation Learning for Few-Shot Semantic Segmentation WACV 2021
Do We Really Need Gold Samples for Sample Weighting Under Label Noise? WACV 2021
Part Segmentation of Unseen Objects Using Keypoint Guidance WACV 2021
EvidentialMix: Learning With Combined Open-Set and Closed-Set Noisy Labels WACV 2021
Out-of-Distribution Intent Detection with Self-Supervision and Discriminative Training ACL 2021
One-bit Supervision for Image Classification NIPS 2020
Exploiting weakly supervised visual patterns to learn from partial annotations NIPS 2020
Online Agnostic Boosting via Regret Minimization NIPS 2020
Causal Intervention for Weakly-Supervised Semantic Segmentation NIPS 2020
Improved Schemes for Episodic Memory-based Lifelong Learning NIPS 2020
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback NIPS 2020
Deep Imitation Learning for Bimanual Robotic Manipulation NIPS 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior NIPS 2020
Partial Optimal Tranport with applications on Positive-Unlabeled Learning NIPS 2020
A Unified View of Label Shift Estimation NIPS 2020
Counterfactual Predictions under Runtime Confounding NIPS 2020