conftrace_
← Learning Types
Deep Learning › Learning Types ›

Semi-Supervised Learning

407 papers

Papers per year

5
62
28
'15
'20
'25

Papers

Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results NIPS 2017
Good Semi-supervised Learning That Requires a Bad GAN NIPS 2017
Triple Generative Adversarial Nets NIPS 2017
Learning Disentangled Representations with Semi-Supervised Deep Generative Models NIPS 2017
Structured Generative Adversarial Networks NIPS 2017
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference NIPS 2017
Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks NIPS 2017
Semi-Supervised Haptic Material Recognition for Robots using Generative Adversarial Networks CORL 2017
Generating and Exploiting Large-scale Pseudo Training Data for Zero Pronoun Resolution ACL 2017
Semi-Supervised QA with Generative Domain-Adaptive Nets ACL 2017
Semi-supervised Multitask Learning for Sequence Labeling ACL 2017
What's in a Question: Using Visual Questions as a Form of Supervision CVPR 2017
Learning to Learn From Noisy Web Videos CVPR 2017
Semi-Supervised Deep Learning for Monocular Depth Map Prediction CVPR 2017
Regularization With Stochastic Transformations and Perturbations for Deep Semi-Supervised Learning NIPS 2016
Improved Techniques for Training GANs NIPS 2016
A Probabilistic Framework for Deep Learning NIPS 2016
SemiContour: A Semi-Supervised Learning Approach for Contour Detection CVPR 2016
Semi-Supervised Training in Deep Learning Acoustic Model INTERSPEECH 2016
Semi-supervised Learning with Ladder Networks NIPS 2015
Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding NIPS 2015
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation NIPS 2015
Large-Scale Damage Detection Using Satellite Imagery CVPR 2015
Salient Object Detection via Bootstrap Learning CVPR 2015
Semi-supervised Learning with Deep Generative Models NIPS 2014