Continual Learning

The complexity of non-stationary reinforcement learning ALT 2024 The Inter-batch Diversity of Samples in Experience Replay for Continual Learning AAAI 2024 The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model ICLR 2024 TiC-CLIP: Continual Training of CLIP Models ICLR 2024 TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation AAAI 2024 TinyTTA: Efficient Test-time Adaptation via Early-exit Ensembles on Edge Devices NeurIPS 2024 TL-CL: Task And Language Incremental Continual Learning EMNLP 2024 To Learn or Not to Learn, That is the Question — A Feature-Task Dual Learning Model of Perceptual Learning NeurIPS 2024 Towards a Unified Framework for Adaptable Problematic Content Detection via Continual Learning NAACL 2024 Towards Backward-Compatible Continual Learning of Image Compression CVPR 2024 Towards Continual Knowledge Graph Embedding via Incremental Distillation AAAI 2024 Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding AAAI 2024 Towards Domain-Aware Knowledge Distillation for Continual Model Generalization WACV 2024 Towards Effective and General Graph Unlearning via Mutual Evolution AAAI 2024 Towards Efficient Replay in Federated Incremental Learning CVPR 2024 Towards Rehearsal-Free Multilingual ASR: A LoRA-based Case Study on Whisper Interspeech 2024 Towards Reliable Learning in the Wild: Generalization and Adaptation AAAI 2024 Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation Interspeech 2024 Towards Robust Temporal Activity Localization Learning with Noisy Labels COLING 2024 Traceable Federated Continual Learning CVPR 2024 Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning NeurIPS 2024 Uncertainty-Guided Never-Ending Learning to Drive CVPR 2024 Understanding Catastrophic Forgetting in Language Models via Implicit Inference ICLR 2024 Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype AAAI 2024 Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt AAAI 2024