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Machine Learning
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Continual Learning
1895 directly classified papers
Papers per year
2005: 1
2010: 1
2012: 1
2013: 4
2014: 7
2015: 6
2016: 4
2017: 25
2018: 35
2019: 75
2020: 126
2021: 202
2022: 221
2023: 362
2024: 351
2025: 353
2026: 121
Papers
Learning Robust Representations for Continual Relation Extraction via Adversarial Class Augmentation
EMNLP 2022
Towards Teachable Reasoning Systems: Using a Dynamic Memory of User Feedback for Continual System Improvement
EMNLP 2022
Entropy-Based Vocabulary Substitution for Incremental Learning in Multilingual Neural Machine Translation
EMNLP 2022
Continual Learning for Natural Language Generations with Transformer Calibration
EMNLP 2022
Static-Dynamic Co-teaching for Class-Incremental 3D Object Detection
AAAI 2022
Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data
WACV 2022
Continually Detection, Rapidly React: Unseen Rumors Detection Based on Continual Prompt-Tuning
COLING 2022
S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning
NIPS 2022
Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time
NIPS 2022
Repairing Neural Networks by Leaving the Right Past Behind
NIPS 2022
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer
NIPS 2022
Deep Cascade Learning for Optimal Medical Image Feature Representation
MLHC 2022
Mitigating the Diminishing Effect of Elastic Weight Consolidation
COLING 2022
Ask Question First for Enhancing Lifelong Language Learning
COLING 2022
Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay (Student Abstract)
AAAI 2022
Same State, Different Task: Continual Reinforcement Learning without Interference
AAAI 2022
Wide Neural Networks Forget Less Catastrophically
ICML 2022
Chunk Dynamic Updating for Group Lasso with ODEs
AAAI 2022
Exploring Few-Shot Fine-Tuning Strategies for Models of Visually Grounded Speech
INTERSPEECH 2022
Overcoming Catastrophic Forgetting During Domain Adaptation of Seq2seq Language Generation
NAACL 2022
How catastrophic can catastrophic forgetting be in linear regression?
COLT 2022
Continual Learning via Sequential Function-Space Variational Inference
ICML 2022
Dataset Knowledge Transfer for Class-Incremental Learning Without Memory
WACV 2022
Learning Multi-Objective Curricula for Robotic Policy Learning
CORL 2022
Fast Lifelong Adaptive Inverse Reinforcement Learning from Demonstrations
CORL 2022
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