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Continual Learning

2,107 papers

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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