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

Uncovering Latent Memories in Large Language Models ICLR 2025 Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning ICLR 2025 Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective ICML 2025 Unveiling and Addressing Pseudo Forgetting in Large Language Models ACL 2025 Upweighting Easy Samples in Fine-Tuning Mitigates Forgetting ICML 2025 VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs EMNLP 2025 Vision and Language Synergy for Rehearsal Free Continual Learning ICLR 2025 Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models AAAI 2025 Weight Factorization and Centralization for Continual Learning in Speech Recognition Interspeech 2025 What Causes Knowledge Loss in Multilingual Language Models? ACL 2025 When to Learn and When to Stop: Quitting at the Optimal Time (Student Abstract) AAAI 2025 ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think ICML 2025 Accurate Forgetting for Heterogeneous Federated Continual Learning ICLR 2024 Active Test-Time Adaptation: Theoretical Analyses and An Algorithm ICLR 2024 Adapter Learning from Pre-trained Model for Robust Spoof Speech Detection Interspeech 2024 Adaptive Discovering and Merging for Incremental Novel Class Discovery AAAI 2024 Adaptive Shortcut Debiasing for Online Continual Learning AAAI 2024 Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning ICLR 2024 Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models NeurIPS 2024 An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning WACV 2024 An Effective Dynamic Gradient Calibration Method for Continual Learning ICML 2024 A Parameter-efficient Language Extension Framework for Multilingual ASR Interspeech 2024 A Topology-aware Graph Coarsening Framework for Continual Graph Learning NeurIPS 2024 ATTA: Adaptive Test-Time Adaptation for Multi-Modal Sleep Stage Classification IJCAI 2024 A Unified and General Framework for Continual Learning ICLR 2024