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conftrace_

continual learning

1,419 papers

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Also known as

CL

Co-occurring keywords · papers mentioning both

catastrophic forgetting (701) knowledge distillation (176) class-incremental learning (132) representation learning (108) domain adaptation (91) neural network (78) incremental learning (74) online learning (72) transfer learning (68) few-shot learning (67)

Papers

Spurious Forgetting in Continual Learning of Language Models ICLR 2025 Stacked LoRA: Isolated Low-Rank Adaptation for Lifelong Knowledge Management IJCNLP 2025 Stacking Brick by Brick: Aligned Feature Isolation for Incremental Face Forgery Detection CVPR 2025 STAR: Stability-Inducing Weight Perturbation for Continual Learning ICLR 2025 Structural-Entropy-Based Sample Selection for Efficient and Effective Learning ICLR 2025 Supervised Learning with Evolving Tasks and Performance Guarantees JMLR 2025 Synthetic Data is an Elegant GIFT for Continual Vision-Language Models CVPR 2025 Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization ACL 2025 Task-wrapped Continual Learning in Task-Oriented Dialogue Systems NAACL 2025 T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning CVPR 2025 Theory on Mixture-of-Experts in Continual Learning ICLR 2025 The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning ACL 2025 TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining ACL 2025 TinySubNets: An Efficient and Low Capacity Continual Learning Strategy AAAI 2025 Towards Continual Universal Segmentation CVPR 2025 Towards Continuous Reuse of Graph Models via Holistic Memory Diversification ICLR 2025 Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning AAAI 2025 Towards Robust Incremental Learning Under Ambiguous Supervision IJCAI 2025 Towards Unbiased Continual Learning: Avoiding Forgetting in the Presence of Spurious Correlations WACV 2025 Training Consistent Mixture-of-Experts-Based Prompt Generator for Continual Learning AAAI 2025 TreeLoRA: Efficient Continual Learning via Layer-Wise LoRAs Guided by a Hierarchical Gradient-Similarity Tree ICML 2025 Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters ICML 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 Unsupervised Continual Domain Shift Learning with Multi-Prototype Modeling CVPR 2025