Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Learning Types
Machine Learning
›
Learning Types
›
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
An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction
ACL 2024
Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning
CVPR 2024
Continual Forgetting for Pre-trained Vision Models
CVPR 2024
Vector Quantization Prompting for Continual Learning
NIPS 2024
Non-compositional Expression Generation and its Continual Learning
ACL 2024
What How and When Should Object Detectors Update in Continually Changing Test Domains?
CVPR 2024
Online Boosting Adaptive Learning under Concept Drift for Multistream Classification
AAAI 2024
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models
ACL 2024
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
AAAI 2024
Federated Ensemble-Directed Offline Reinforcement Learning
NIPS 2024
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model
AAAI 2024
Hypercorrelation Evolution for Video Class-Incremental Learning
AAAI 2024
Multi-Domain Incremental Learning for Face Presentation Attack Detection
AAAI 2024
Incremental Sequence Labeling: A Tale of Two Shifts
ACL 2024
Continual Relation Extraction via Sequential Multi-Task Learning
AAAI 2024
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
AAAI 2024
Intentional Evolutionary Learning for Untrimmed Videos with Long Tail Distribution
AAAI 2024
Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection
AAAI 2024
Embracing Language Inclusivity and Diversity in CLIP through Continual Language Learning
AAAI 2024
Efficient Spiking Neural Networks with Sparse Selective Activation for Continual Learning
AAAI 2024
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
NIPS 2024
Stepping Forward on the Last Mile
NIPS 2024
Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention
AAAI 2024
Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning
AAAI 2024
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning
AAAI 2024
<
1
…
19
20
21
…
76
>