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Curriculum Learning

55 directly classified papers

Papers per year

Papers

Do Data-based Curricula Work? ACL 2022
Generative Entity Typing with Curriculum Learning EMNLP 2022
Curriculum Learning Meets Weakly Supervised Multimodal Correlation Learning EMNLP 2022
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning EMNLP 2022
One for More: Selecting Generalizable Samples for Generalizable ReID Model AAAI 2021
Curriculum Learning for Vision-and-Language Navigation NIPS 2021
Shortformer: Better Language Modeling using Shorter Inputs ACL 2021
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning EMNLP 2021
Competence-based Curriculum Learning for Multilingual Machine Translation EMNLP 2021
On the Role of Corpus Ordering in Language Modeling EMNLP 2021
Adaptive Curriculum Learning ICCV 2021
Inferring Emotion from Large-scale Internet Voice Data: A Semi-supervised Curriculum Augmentation based Deep Learning Approach AAAI 2021
Curriculum Pre-training for End-to-End Speech Translation ACL 2020
Norm-Based Curriculum Learning for Neural Machine Translation ACL 2020
Curriculum Learning by Dynamic Instance Hardness NIPS 2020
BabyWalk: Going Farther in Vision-and-Language Navigation by Taking Baby Steps ACL 2020
CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation ACL 2020
Learning a Multi-Domain Curriculum for Neural Machine Translation ACL 2020
Uncertainty-Aware Curriculum Learning for Neural Machine Translation ACL 2020
Learning Words by Drawing Images CVPR 2019
Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks CVPR 2019
Comparing Sample-Wise Learnability across Deep Neural Network Models AAAI 2019
Dynamically Composing Domain-Data Selection with Clean-Data Selection by “Co-Curricular Learning” for Neural Machine Translation ACL 2019
Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum NIPS 2019
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks ICML 2018