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Continual Learning

1,929 papers

Papers per year

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Papers

Class-Incremental Domain Adaptation ECCV 2020
Efficient Meta Lifelong-Learning with Limited Memory EMNLP 2020
Incremental Event Detection via Knowledge Consolidation Networks EMNLP 2020
Visually Grounded Continual Learning of Compositional Phrases EMNLP 2020
Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation EMNLP 2020
Lifelong Language Knowledge Distillation EMNLP 2020
Disentangle-based Continual Graph Representation Learning EMNLP 2020
A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis EMNLP 2020
Recall and Learn: Fine-tuning Deep Pretrained Language Models with Less Forgetting EMNLP 2020
Dynamic Data Selection for Curriculum Learning via Ability Estimation EMNLP 2020
Using the Past Knowledge to Improve Sentiment Classification EMNLP 2020
Continual Learning Long Short Term Memory EMNLP 2020
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems EMNLP 2020
Continual Adaptation for Efficient Machine Communication EMNLP 2020
Findings of the First Shared Task on Lifelong Learning Machine Translation EMNLP 2020
Online Learned Continual Compression with Adaptive Quantization Modules ICML 2020
Online Continual Learning from Imbalanced Data ICML 2020
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location ICML 2020
Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search ICML 2020
Neural Topic Modeling with Continual Lifelong Learning ICML 2020
Optimal Continual Learning has Perfect Memory and is NP-hard ICML 2020
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions ICML 2020
Deep Streaming Label Learning ICML 2020
DeltaGrad: Rapid retraining of machine learning models ICML 2020
XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning ICML 2020