catastrophic forgetting

939 papers

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Also known as

CF

Co-occurring keywords

continual learning (1164) knowledge distillation (3680) class-incremental learning (154) incremental learning (278) domain adaptation (4578) representation learning (6174) lifelong learning (142) few-shot learning (3390) transfer learning (5442) large language model (12755)

Papers

Bilateral Memory Consolidation for Continual Learning CVPR 2023

Achieving a Better Stability-Plasticity Trade-Off via Auxiliary Networks in Continual Learning CVPR 2023

An Empirical Investigation of the Role of Pre-training in Lifelong Learning JMLR 2023

CITB: A Benchmark for Continual Instruction Tuning EMNLP 2023

Adaptive Plasticity Improvement for Continual Learning CVPR 2023

AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning CVPR 2023

Continual Learning With Dependency Preserving Hypernetworks WACV 2023

FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning WACV 2023

VQACL: A Novel Visual Question Answering Continual Learning Setting CVPR 2023

Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions CVPR 2023

GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting CVPR 2023

NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging CVPR 2023

CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning CVPR 2023

Attribution-Aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation WACV 2023

Poisoning Generative Replay in Continual Learning to Promote Forgetting ICML 2023

Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class CVPR 2023

Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation CVPR 2023

GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task CVPR 2023

Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation EMNLP 2023

Parameterizing Context: Unleashing the Power of Parameter-Efficient Fine-Tuning and In-Context Tuning for Continual Table Semantic Parsing NIPS 2023

Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning AAAI 2023

Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime AISTATS 2023

DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning CVPR 2023

The Ideal Continual Learner: An Agent That Never Forgets ICML 2023

Incremental Image De-raining via Associative Memory AAAI 2023