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conftrace_

catastrophic forgetting

1,155 papers

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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

Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning CVPR 2024 Continual Vision-Language Retrieval via Dynamic Knowledge Rectification AAAI 2024 Continuous Adaptation for Interactive Segmentation Using Teacher-Student Architecture WACV 2024 Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation AAAI 2024 Convolutional Prompting meets Language Models for Continual Learning CVPR 2024 CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning NeurIPS 2024 CroMo-Mixup: Augmenting Cross-Model Representations for Continual Self-Supervised Learning ECCV 2024 DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models ACL 2024 Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay CVPR 2024 Defying Imbalanced Forgetting in Class Incremental Learning AAAI 2024 Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning IJCAI 2024 Depth Aware Hierarchical Replay Continual Learning for Knowledge Based Question Answering COLING 2024 DiffClass: Diffusion-Based Class Incremental Learning ECCV 2024 DiNADO: Norm-Disentangled Neurally-Decomposed Oracles for Controlling Language Models ICML 2024 Dirichlet Continual Learning: Tackling Catastrophic Forgetting in NLP UAI 2024 Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet ICML 2024 Disentangling and mitigating the impact of task similarity for continual learning NeurIPS 2024 Distilling Causal Effect of Data in Continual Few-shot Relation Learning COLING 2024 Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identification CVPR 2024 Divide and not forget: Ensemble of selectively trained experts in Continual Learning ICLR 2024 Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? EMNLP 2024 DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting NeurIPS 2024 Domain adapted machine translation: What does catastrophic forgetting forget and why? EMNLP 2024 Domain-Hallucinated Updating for Multi-Domain Face Anti-spoofing AAAI 2024 Doubly Perturbed Task Free Continual Learning AAAI 2024