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Continual Learning
309 directly classified papers
Papers per year
2015: 1
2017: 2
2018: 4
2019: 10
2020: 30
2021: 41
2022: 41
2023: 49
2024: 71
2025: 59
2026: 1
Papers
Incremental Intent Detection for Medical Domain with Contrast Replay Networks
ACL 2022
ELLE: Efficient Lifelong Pre-training for Emerging Data
ACL 2022
TimeLMs: Diachronic Language Models from Twitter
ACL 2022
Learning To Prompt for Continual Learning
CVPR 2022
Fine-tuned Language Models are Continual Learners
EMNLP 2022
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
EMNLP 2022
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation
EMNLP 2022
Continual Training of Language Models for Few-Shot Learning
EMNLP 2022
Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue
EMNLP 2022
Continual Learning for Natural Language Generations with Transformer Calibration
EMNLP 2022
ConTinTin: Continual Learning from Task Instructions
ACL 2022
Continual Prompt Tuning for Dialog State Tracking
ACL 2022
Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification of User Goals
ACL 2022
Lifelong Generative Modelling Using Dynamic Expansion Graph Model
AAAI 2022
Continual Learning through Retrieval and Imagination
AAAI 2022
Same State, Different Task: Continual Reinforcement Learning without Interference
AAAI 2022
Self-Supervised Models Are Continual Learners
CVPR 2022
Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds
NIPS 2022
Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks
NIPS 2022
Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning
NIPS 2022
Continual Learning for Visual Search With Backward Consistent Feature Embedding
CVPR 2022
Gradient Regularized Contrastive Learning for Continual Domain Adaptation
AAAI 2021
Optimizing Reusable Knowledge for Continual Learning via Metalearning
NIPS 2021
CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks
NIPS 2021
Formalizing the Generalization-Forgetting Trade-off in Continual Learning
NIPS 2021
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