conftrace_

unlabeled datum

120 papers

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Co-occurring keywords

semi-supervised learning (2341) text classification (6793) transfer learning (5449) domain adaptation (4595) data augmentation (3052) unlabeled data (7) binary classification (678) representation learning (6206) consistency regularization (150) knowledge distillation (3725)

Papers

Speech Emotion Recognition via Multi-Level Cross-Modal Distillation INTERSPEECH 2021
Task Cooperation for Semi-Supervised Few-Shot Learning AAAI 2021
Exploiting Unlabeled Data via Partial Label Assignment for Multi-Class Semi-Supervised Learning AAAI 2021
Are Labels Always Necessary for Classifier Accuracy Evaluation? CVPR 2021
PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector AAAI 2021
VirFace: Enhancing Face Recognition via Unlabeled Shallow Data CVPR 2021
Adversarial Self-Supervised Contrastive Learning NIPS 2020
DIVA: Domain Invariant Variational Autoencoders MIDL 2020
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language ACL 2020
Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful UAI 2020
Zero-shot Text Classification via Reinforced Self-training ACL 2020
Augmenting Data for Sarcasm Detection with Unlabeled Conversation Context ACL 2020
Semi-Supervised Learning for Maximizing the Partial AUC AAAI 2020
Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning NIPS 2020
Semi-Supervised Dependency Parsing with Arc-Factored Variational Autoencoding COLING 2020
Text Classification Using Label Names Only: A Language Model Self-Training Approach EMNLP 2020
Research Replication Prediction Using Weakly Supervised Learning EMNLP 2020
Exploring Unlabeled Faces for Novel Attribute Discovery CVPR 2020
Semi-Supervised Learning for Character Expression of Spoken Dialogue Systems INTERSPEECH 2020
Learning from Positive and Unlabeled Data with Arbitrary Positive Shift NIPS 2020
Instance Credibility Inference for Few-Shot Learning CVPR 2020
An Unbiased Risk Estimator for Learning with Augmented Classes NIPS 2020
Unifying Heterogeneous Classifiers With Distillation CVPR 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning NIPS 2019
Investigating the effect of novel classes in semi-supervised learning ACML 2019