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Continual Learning

1895 directly classified papers

Papers per year

Papers

Visually Grounded Continual Learning of Compositional Phrases EMNLP 2020
Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization NIPS 2020
Lifelong Language Knowledge Distillation EMNLP 2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey JMLR 2020
Neural Topic Modeling with Continual Lifelong Learning ICML 2020
Conditional Channel Gated Networks for Task-Aware Continual Learning CVPR 2020
Incremental Event Detection via Knowledge Consolidation Networks EMNLP 2020
A Multi-Task Incremental Learning Framework with Category Name Embedding for Aspect-Category Sentiment Analysis EMNLP 2020
Dark Experience for General Continual Learning: a Strong, Simple Baseline NIPS 2020
LT3 at SemEval-2020 Task 8: Multi-Modal Multi-Task Learning for Memotion Analysis COLING 2020
Continual Relation Learning via Episodic Memory Activation and Reconsolidation ACL 2020
Findings of the First Shared Task on Lifelong Learning Machine Translation EMNLP 2020
Continual Adaptation for Efficient Machine Communication EMNLP 2020
GAN Memory with No Forgetting NIPS 2020
Calibrating CNNs for Lifelong Learning NIPS 2020
Coresets via Bilevel Optimization for Continual Learning and Streaming NIPS 2020
Iterative Learning for Reliable Underwater Link Adaptation (Student Abstract) AAAI 2020
Incremental Learning in Online Scenario CVPR 2020
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation CVPR 2020
Self-Induced Curriculum Learning in Self-Supervised Neural Machine Translation EMNLP 2020
Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition CVPR 2020
Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition CVPR 2020
Disentangle-based Continual Graph Representation Learning EMNLP 2020
ADINet: Attribute Driven Incremental Network for Retinal Image Classification CVPR 2020
Supermasks in Superposition NIPS 2020