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conftrace_

catastrophic forgetting

1,155 papers

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Also known as

CF

Co-occurring keywords · papers mentioning both

continual learning (701) knowledge distillation (183) class-incremental learning (146) incremental learning (81) representation learning (71) domain adaptation (69) lifelong learning (69) large language model (64) few-shot learning (60) transfer learning (55)

Papers

MoNMT: Modularly Leveraging Monolingual and Bilingual Knowledge for Neural Machine Translation COLING 2024 MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning WACV 2024 More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs EMNLP 2024 Multi-Domain Incremental Learning for Face Presentation Attack Detection AAAI 2024 Multi-layer Rehearsal Feature Augmentation for Class-Incremental Learning ICML 2024 Multi-Task Transfer Matters During Instruction-Tuning ACL 2024 Navigating Continual Test-time Adaptation with Symbiosis Knowledge IJCAI 2024 Neighboring Perturbations of Knowledge Editing on Large Language Models ICML 2024 Non-exemplar Domain Incremental Object Detection via Learning Domain Bias AAAI 2024 Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement AAAI 2024 Online Class-Incremental Learning for Real-World Food Image Classification WACV 2024 On the Diminishing Returns of Width for Continual Learning ICML 2024 Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation CVPR 2024 OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning CVPR 2024 Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System ACL 2024 Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning WACV 2024 Persistence Homology Distillation for Semi-supervised Continual Learning NeurIPS 2024 Pin-Tuning: Parameter-Efficient In-Context Tuning for Few-Shot Molecular Property Prediction NeurIPS 2024 Predictive Attractor Models NeurIPS 2024 Preserving Generalization of Language models in Few-shot Continual Relation Extraction EMNLP 2024 Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation EMNLP 2024 Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners CVPR 2024 PromptFusion: Decoupling Stability and Plasticity for Continual Learning ECCV 2024 RanDumb: Random Representations Outperform Online Continually Learned Representations NeurIPS 2024 Rapid Learning without Catastrophic Forgetting in the Morris Water Maze ICML 2024