Continual Learning

Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning ICLR 2023 Prompt-aligned Gradient for Prompt Tuning ICCV 2023 Prompt-augmented Temporal Point Process for Streaming Event Sequence NeurIPS 2023 Prompt Discriminative Language Models for Domain Adaptation ACL 2023 Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning ICCV 2023 Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning ICML 2023 Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery ICCV 2023 RanPAC: Random Projections and Pre-trained Models for Continual Learning NeurIPS 2023 Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right? ICCV 2023 Rationale-Enhanced Language Models are Better Continual Relation Learners EMNLP 2023 RDumb: A simple approach that questions our progress in continual test-time adaptation NeurIPS 2023 Real-Time Evaluation in Online Continual Learning: A New Hope CVPR 2023 Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning CVPR 2023 Re-Basin via Implicit Sinkhorn Differentiation CVPR 2023 Recasting Continual Learning as Sequence Modeling NeurIPS 2023 RECL: Responsive Resource-Efficient Continuous Learning for Video Analytics NSDI 2023 Recyclable Tuning for Continual Pre-training ACL 2023 Regularizing Second-Order Influences for Continual Learning CVPR 2023 Rehearsal-free Continual Language Learning via Efficient Parameter Isolation ACL 2023 Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less ICCV 2023 Rehearsal-Free Online Continual Learning for Automatic Speech Recognition Interspeech 2023 Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning AAAI 2023 Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling CVPR 2023 Rewiring Neurons in Non-Stationary Environments NeurIPS 2023 Robust and Adaptive Deep Learning via Bayesian Principles AAAI 2023