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Continual Learning

1895 directly classified papers

Papers per year

Papers

Finite-time complexity of incremental policy gradient methods for solving multi-task reinforcement learning L4DC 2024
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners CVPR 2024
Incremental Sequence Labeling: A Tale of Two Shifts ACL 2024
Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learning L4DC 2024
Continual learning of multi-modal dynamics with external memory L4DC 2024
Safe learning in nonlinear model predictive control L4DC 2024
Adaptive neural network based control approach for building energy control under changing environmental conditions L4DC 2024
A Learning Rate Path Switching Training Paradigm for Version Updates of Large Language Models EMNLP 2024
Recall-Oriented Continual Learning with Generative Adversarial Meta-Model AAAI 2024
Preserving Generalization of Language models in Few-shot Continual Relation Extraction EMNLP 2024
Flexible Weight Tuning and Weight Fusion Strategies for Continual Named Entity Recognition ACL 2024
Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning AAAI 2024
Prospective Representation Learning for Non-Exemplar Class-Incremental Learning NIPS 2024
Hypercorrelation Evolution for Video Class-Incremental Learning AAAI 2024
Less is More: Pre-Training Cross-Lingual Small-Scale Language Models with Cognitively-Plausible Curriculum Learning Strategies CONLL 2024
Using Curriculum Masking Based on Child Language Development to Train a Large Language Model with Limited Training Data CONLL 2024
Multi-Domain Incremental Learning for Face Presentation Attack Detection AAAI 2024
TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation AAAI 2024
Memory-Efficient Prompt Tuning for Incremental Histopathology Classification AAAI 2024
An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction ACL 2024
Gradient Reweighting: Towards Imbalanced Class-Incremental Learning CVPR 2024
CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models NIPS 2024
Continual Learning with Semi-supervised Contrastive Distillation for Incremental Neural Machine Translation ACL 2024
A Two-Stage Adaptation of Large Language Models for Text Ranking ACL 2024
Non-compositional Expression Generation and its Continual Learning ACL 2024