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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
Knowledge Transfer in Incremental Learning for Multilingual Neural Machine Translation
ACL 2023
ScoNe: Benchmarking Negation Reasoning in Language Models With Fine-Tuning and In-Context Learning
ACL 2023
On the Compositional Generalization in Versatile Open-domain Dialogue
ACL 2023
Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform
ACL 2023
Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning
ACL 2023
History repeats: Overcoming catastrophic forgetting for event-centric temporal knowledge graph completion
ACL 2023
“Geen makkie”: Interpretable Classification and Simplification of Dutch Text Complexity
ACL 2023
Learning “O” Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER
ACL 2023
Cross-lingual Continual Learning
ACL 2023
Enhancing Continual Relation Extraction via Classifier Decomposition
ACL 2023
Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule Accumulation
EMNLP 2023
Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN
EMNLP 2023
Continual Named Entity Recognition without Catastrophic Forgetting
EMNLP 2023
Empower Nested Boolean Logic via Self-Supervised Curriculum Learning
EMNLP 2023
Rationale-Enhanced Language Models are Better Continual Relation Learners
EMNLP 2023
Coordinated Replay Sample Selection for Continual Federated Learning
EMNLP 2023
Investigating the Role and Impact of Disfluency on Summarization
EMNLP 2023
Dual Contrastive Learning Framework for Incremental Text Classification
EMNLP 2023
Novel Slot Detection With an Incremental Setting
EMNLP 2023
Lifelong Sequence Generation with Dynamic Module Expansion and Adaptation
EMNLP 2023
Continual Event Extraction with Semantic Confusion Rectification
EMNLP 2023
Continual Detection Transformer for Incremental Object Detection
CVPR 2023
A-La-Carte Prompt Tuning (APT): Combining Distinct Data via Composable Prompting
CVPR 2023
Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning
CVPR 2023
Unsupervised Continual Semantic Adaptation Through Neural Rendering
CVPR 2023
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