← Learning Types
Deep Learning › Learning Types ›

Continual Learning

309 directly classified papers

Papers per year

Papers

Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework NIPS 2023
Saving 100x Storage: Prototype Replay for Reconstructing Training Sample Distribution in Class-Incremental Semantic Segmentation NIPS 2023
Skill-it! A data-driven skills framework for understanding and training language models NIPS 2023
RDumb: A simple approach that questions our progress in continual test-time adaptation NIPS 2023
Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication NIPS 2023
Adaptive Orthogonal Projection for Batch and Online Continual Learning AAAI 2022
S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning NIPS 2022
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting NIPS 2022
Navigating Memory Construction by Global Pseudo-Task Simulation for Continual Learning NIPS 2022
Continual Learning with Evolving Class Ontologies NIPS 2022
Decomposed Knowledge Distillation for Class-Incremental Semantic Segmentation NIPS 2022
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation NIPS 2022
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal NIPS 2022
Retaining Knowledge for Learning with Dynamic Definition NIPS 2022
Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer NIPS 2022
SparCL: Sparse Continual Learning on the Edge NIPS 2022
NOTE: Robust Continual Test-time Adaptation Against Temporal Correlation NIPS 2022
Representation Compensation Networks for Continual Semantic Segmentation CVPR 2022
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning CVPR 2022
Lifelong Unsupervised Domain Adaptive Person Re-Identification With Coordinated Anti-Forgetting and Adaptation CVPR 2022
Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning CVPR 2022
Incremental Learning in Semantic Segmentation From Image Labels CVPR 2022
Class-Incremental Learning With Strong Pre-Trained Models CVPR 2022
Online Continual Learning on a Contaminated Data Stream With Blurry Task Boundaries CVPR 2022
Learning To Imagine: Diversify Memory for Incremental Learning Using Unlabeled Data CVPR 2022