Co-occurring keywords · papers mentioning both
Papers
Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning
EACL 2021
Edit Distance Based Curriculum Learning for Paraphrase Generation
ACL 2021
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning
EMNLP 2021
Enhancing Audio-Visual Association with Self-Supervised Curriculum Learning
AAAI 2021
Exploiting Curriculum Learning in Unsupervised Neural Machine Translation
EMNLP 2021
Exploring Text-to-Text Transformers for English to Hinglish Machine Translation with Synthetic Code-Mixing
NAACL 2021
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning
NAACL 2021
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
NeurIPS 2021
From Machine Translation to Code-Switching: Generating High-Quality Code-Switched Text
ACL 2021
Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval
ICCV 2021
Hierarchical Class-Based Curriculum Loss
IJCAI 2021
Hierarchical Neural Dynamic Policies
RSS 2021
Inferring Emotion from Large-scale Internet Voice Data: A Semi-supervised Curriculum Augmentation based Deep Learning Approach
AAAI 2021
Is Active Learning Always Beneficial? (Student Abstract)
AAAI 2021
Learning A Minimax Optimizer: A Pilot Study
ICLR 2021
Learning From the Master: Distilling Cross-Modal Advanced Knowledge for Lip Reading
CVPR 2021
Learning Term Embeddings for Lexical Taxonomies
AAAI 2021
Learning To Aggregate and Personalize 3D Face From In-the-Wild Photo Collection
CVPR 2021
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
ICLR 2021
Learning With Memory-Based Virtual Classes for Deep Metric Learning
ICCV 2021
Learn Like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification
WACV 2021
Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation
AAAI 2021
Mining Better Samples for Contrastive Learning of Temporal Correspondence
CVPR 2021
Mitigating Data Scarceness through Data Synthesis, Augmentation and Curriculum for Abstractive Summarization
EMNLP 2021
Modeling financial uncertainty with multivariate temporal entropy-based curriculums
UAI 2021