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Continual Learning

1895 directly classified papers

Papers per year

Papers

Towards Continual Learning for Multilingual Machine Translation via Vocabulary Substitution NAACL 2021
Online probabilistic label trees AISTATS 2021
Multi-Domain Multi-Task Rehearsal for Lifelong Learning AAAI 2021
Remember More by Recalling Less: Investigating the Role of Batch Size in Continual Learning with Experience Replay (Student Abstract) AAAI 2021
Few-Shot Class-Incremental Learning via Relation Knowledge Distillation AAAI 2021
Federated Continual Learning with Weighted Inter-client Transfer ICML 2021
IncreACO: Incrementally Learned Automatic Check-Out With Photorealistic Exemplar Augmentation WACV 2021
Continual Quality Estimation with Online Bayesian Meta-Learning ACL 2021
Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking ACL 2021
Preserving Cross-Linguality of Pre-trained Models via Continual Learning ACL 2021
Meta-Consolidation for Continual Learning NIPS 2020
Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks NIPS 2020
Discovering Subsequence Patterns for Next POI Recommendation IJCAI 2020
Forgetting to Learn Logic Programs AAAI 2020
Modeling the Background for Incremental Learning in Semantic Segmentation CVPR 2020
A Combinatorial Perspective on Transfer Learning NIPS 2020
Continual Learning for Multi-Dialect Acoustic Models INTERSPEECH 2020
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems EMNLP 2020
Using the Past Knowledge to Improve Sentiment Classification EMNLP 2020
Dynamic Data Selection for Curriculum Learning via Ability Estimation EMNLP 2020
Deep Streaming Label Learning ICML 2020
Regularize, Expand and Compress: NonExpansive Continual Learning WACV 2020
Improved Schemes for Episodic Memory-based Lifelong Learning NIPS 2020
DeltaGrad: Rapid retraining of machine learning models ICML 2020
Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation AAAI 2020