Continual Learning

Pretrained Language Model in Continual Learning: A Comparative Study ICLR 2022 Prompt Conditioned VAE: Enhancing Generative Replay for Lifelong Learning in Task-Oriented Dialogue EMNLP 2022 Remember the Past: Distilling Datasets into Addressable Memories for Neural Networks NeurIPS 2022 Representation Compensation Networks for Continual Semantic Segmentation CVPR 2022 Retaining Knowledge for Learning with Dynamic Definition NeurIPS 2022 Same State, Different Task: Continual Reinforcement Learning without Interference AAAI 2022 Self-Supervised Models Are Continual Learners CVPR 2022 Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning CVPR 2022 SparCL: Sparse Continual Learning on the Edge NeurIPS 2022 S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning NeurIPS 2022 TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models EMNLP 2022 TimeLMs: Diachronic Language Models from Twitter ACL 2022 Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification of User Goals ACL 2022 Achieving Forgetting Prevention and Knowledge Transfer in Continual Learning NeurIPS 2021 A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation AAAI 2021 Adaptive Aggregation Networks for Class-Incremental Learning CVPR 2021 AFEC: Active Forgetting of Negative Transfer in Continual Learning NeurIPS 2021 BooVAE: Boosting Approach for Continual Learning of VAE NeurIPS 2021 CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks NeurIPS 2021 Class Normalization for (Continual)? Generalized Zero-Shot Learning ICLR 2021 Continual Learning by Using Information of Each Class Holistically AAAI 2021 Continual Learning in Multilingual NMT via Language-Specific Embeddings EMNLP 2021 Continual Learning via Bit-Level Information Preserving CVPR 2021 Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations CVPR 2021 DER: Dynamically Expandable Representation for Class Incremental Learning CVPR 2021