Continual Learning
2,107 papers
Papers per year
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1
1
4
7
6
4
25
43
78
139
219
252
388
385
421
133
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Papers
A-La-Carte Prompt Tuning (APT): Combining Distinct Data via Composable Prompting
CVPR 2023
Alleviating Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation
ICCV 2023
A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning
ICLR 2023
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime
AISTATS 2023
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning
NeurIPS 2023
An Empirical Investigation of the Role of Pre-training in Lifelong Learning
JMLR 2023
A Neural Span-Based Continual Named Entity Recognition Model
AAAI 2023
An Investigation of the Combination of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language Understanding
Interspeech 2023
Annealing-Based Label-Transfer Learning for Open World Object Detection
CVPR 2023
A Probabilistic Framework for Lifelong Test-Time Adaptation
CVPR 2023
A Robust Test for the Stationarity Assumption in Sequential Decision Making
ICML 2023
Artificial Neuronal Ensembles with Learned Context Dependent Gating
ICLR 2023
A Simple Recipe to Meta-Learn Forward and Backward Transfer
ICCV 2023
A Soft Nearest-Neighbor Framework for Continual Semi-Supervised Learning
ICCV 2023
A Spectral Viewpoint on Continual Relation Extraction
EMNLP 2023
Attribution-Aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
WACV 2023
AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
CVPR 2023
AUC Maximization in Imbalanced Lifelong Learning
UAI 2023
Audio-Visual Class-Incremental Learning
ICCV 2023
Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection
ICCV 2023
Augmented Memory Replay-based Continual Learning Approaches for Network Intrusion Detection
NeurIPS 2023
Augmenting Language Models with Long-Term Memory
NeurIPS 2023
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
NeurIPS 2023
A Unified Continual Learning Framework with General Parameter-Efficient Tuning
ICCV 2023
Avalanche: A PyTorch Library for Deep Continual Learning
JMLR 2023